---
_id: '14104'
abstract:
- lang: eng
text: 'Thorne–Żytkow objects (TŻO) are potential end products of the merger of a
neutron star with a non-degenerate star. In this work, we have computed the first
grid of evolutionary models of TŻOs with the MESA stellar evolution code. With
these models, we predict several observational properties of TŻOs, including their
surface temperatures and luminosities, pulsation periods, and nucleosynthetic
products. We expand the range of possible TŻO solutions to cover 3.45≲log(Teff/K)≲3.65
and 4.85≲log(L/L⊙)≲5.5. Due to the much higher densities our TŻOs reach compared
to previous models, if TŻOs form we expect them to be stable over a larger mass
range than previously predicted, without exhibiting a gap in their mass distribution.
Using the GYRE stellar pulsation code we show that TŻOs should have fundamental
pulsation periods of 1000–2000 d, and period ratios of ≈0.2–0.3. Models computed
with a large 399 isotope fully coupled nuclear network show a nucleosynthetic
signal that is different to previously predicted. We propose a new nucleosynthetic
signal to determine a star’s status as a TŻO: the isotopologues 44TiO2 and 44TiO,
which will have a shift in their spectral features as compared to stable titanium-containing
molecules. We find that in the local Universe (∼SMC metallicities and above) TŻOs
show little heavy metal enrichment, potentially explaining the difficulty in finding
TŻOs to-date.'
article_processing_charge: No
article_type: original
author:
- first_name: R
full_name: Farmer, R
last_name: Farmer
- first_name: M
full_name: Renzo, M
last_name: Renzo
- first_name: Ylva Louise Linsdotter
full_name: Götberg, Ylva Louise Linsdotter
id: d0648d0c-0f64-11ee-a2e0-dd0faa2e4f7d
last_name: Götberg
orcid: 0000-0002-6960-6911
- first_name: E
full_name: Bellinger, E
last_name: Bellinger
- first_name: S
full_name: Justham, S
last_name: Justham
- first_name: S E
full_name: de Mink, S E
last_name: de Mink
citation:
ama: Farmer R, Renzo M, Götberg YLL, Bellinger E, Justham S, de Mink SE. Observational
predictions for Thorne–Żytkow objects. Monthly Notices of the Royal Astronomical
Society. 2023;524(2):1692-1709. doi:10.1093/mnras/stad1977
apa: Farmer, R., Renzo, M., Götberg, Y. L. L., Bellinger, E., Justham, S., &
de Mink, S. E. (2023). Observational predictions for Thorne–Żytkow objects. Monthly
Notices of the Royal Astronomical Society. Oxford University Press. https://doi.org/10.1093/mnras/stad1977
chicago: Farmer, R, M Renzo, Ylva Louise Linsdotter Götberg, E Bellinger, S Justham,
and S E de Mink. “Observational Predictions for Thorne–Żytkow Objects.” Monthly
Notices of the Royal Astronomical Society. Oxford University Press, 2023.
https://doi.org/10.1093/mnras/stad1977.
ieee: R. Farmer, M. Renzo, Y. L. L. Götberg, E. Bellinger, S. Justham, and S. E.
de Mink, “Observational predictions for Thorne–Żytkow objects,” Monthly Notices
of the Royal Astronomical Society, vol. 524, no. 2. Oxford University Press,
pp. 1692–1709, 2023.
ista: Farmer R, Renzo M, Götberg YLL, Bellinger E, Justham S, de Mink SE. 2023.
Observational predictions for Thorne–Żytkow objects. Monthly Notices of the Royal
Astronomical Society. 524(2), 1692–1709.
mla: Farmer, R., et al. “Observational Predictions for Thorne–Żytkow Objects.” Monthly
Notices of the Royal Astronomical Society, vol. 524, no. 2, Oxford University
Press, 2023, pp. 1692–709, doi:10.1093/mnras/stad1977.
short: R. Farmer, M. Renzo, Y.L.L. Götberg, E. Bellinger, S. Justham, S.E. de Mink,
Monthly Notices of the Royal Astronomical Society 524 (2023) 1692–1709.
date_created: 2023-08-21T10:13:56Z
date_published: 2023-09-01T00:00:00Z
date_updated: 2023-08-21T12:12:48Z
day: '01'
doi: 10.1093/mnras/stad1977
extern: '1'
external_id:
arxiv:
- '2305.07337'
intvolume: ' 524'
issue: '2'
keyword:
- Space and Planetary Science
- Astronomy and Astrophysics
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2305.07337
month: '09'
oa: 1
oa_version: Preprint
page: 1692-1709
publication: Monthly Notices of the Royal Astronomical Society
publication_identifier:
eissn:
- 1365-2966
issn:
- 0035-8711
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Observational predictions for Thorne–Żytkow objects
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 524
year: '2023'
...
---
_id: '13989'
abstract:
- lang: eng
text: Characterizing and controlling entanglement in quantum materials is crucial
for the development of next-generation quantum technologies. However, defining
a quantifiable figure of merit for entanglement in macroscopic solids is theoretically
and experimentally challenging. At equilibrium the presence of entanglement can
be diagnosed by extracting entanglement witnesses from spectroscopic observables
and a nonequilibrium extension of this method could lead to the discovery of novel
dynamical phenomena. Here, we propose a systematic approach to quantify the time-dependent
quantum Fisher information and entanglement depth of transient states of quantum
materials with time-resolved resonant inelastic x-ray scattering. Using a quarter-filled
extended Hubbard model as an example, we benchmark the efficiency of this approach
and predict a light-enhanced many-body entanglement due to the proximity to a
phase boundary. Our work sets the stage for experimentally witnessing and controlling
entanglement in light-driven quantum materials via ultrafast spectroscopic measurements.
article_number: '3512'
article_processing_charge: No
article_type: original
author:
- first_name: Jordyn
full_name: Hales, Jordyn
last_name: Hales
- first_name: Utkarsh
full_name: Bajpai, Utkarsh
last_name: Bajpai
- first_name: Tongtong
full_name: Liu, Tongtong
last_name: Liu
- first_name: Denitsa Rangelova
full_name: Baykusheva, Denitsa Rangelova
id: 71b4d059-2a03-11ee-914d-dfa3beed6530
last_name: Baykusheva
- first_name: Mingda
full_name: Li, Mingda
last_name: Li
- first_name: Matteo
full_name: Mitrano, Matteo
last_name: Mitrano
- first_name: Yao
full_name: Wang, Yao
last_name: Wang
citation:
ama: Hales J, Bajpai U, Liu T, et al. Witnessing light-driven entanglement using
time-resolved resonant inelastic X-ray scattering. Nature Communications.
2023;14. doi:10.1038/s41467-023-38540-3
apa: Hales, J., Bajpai, U., Liu, T., Baykusheva, D. R., Li, M., Mitrano, M., &
Wang, Y. (2023). Witnessing light-driven entanglement using time-resolved resonant
inelastic X-ray scattering. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-023-38540-3
chicago: Hales, Jordyn, Utkarsh Bajpai, Tongtong Liu, Denitsa Rangelova Baykusheva,
Mingda Li, Matteo Mitrano, and Yao Wang. “Witnessing Light-Driven Entanglement
Using Time-Resolved Resonant Inelastic X-Ray Scattering.” Nature Communications.
Springer Nature, 2023. https://doi.org/10.1038/s41467-023-38540-3.
ieee: J. Hales et al., “Witnessing light-driven entanglement using time-resolved
resonant inelastic X-ray scattering,” Nature Communications, vol. 14. Springer
Nature, 2023.
ista: Hales J, Bajpai U, Liu T, Baykusheva DR, Li M, Mitrano M, Wang Y. 2023. Witnessing
light-driven entanglement using time-resolved resonant inelastic X-ray scattering.
Nature Communications. 14, 3512.
mla: Hales, Jordyn, et al. “Witnessing Light-Driven Entanglement Using Time-Resolved
Resonant Inelastic X-Ray Scattering.” Nature Communications, vol. 14, 3512,
Springer Nature, 2023, doi:10.1038/s41467-023-38540-3.
short: J. Hales, U. Bajpai, T. Liu, D.R. Baykusheva, M. Li, M. Mitrano, Y. Wang,
Nature Communications 14 (2023).
date_created: 2023-08-09T13:06:59Z
date_published: 2023-06-14T00:00:00Z
date_updated: 2023-08-22T06:50:04Z
day: '14'
doi: 10.1038/s41467-023-38540-3
extern: '1'
external_id:
arxiv:
- '2209.02283'
pmid:
- '37316515'
intvolume: ' 14'
keyword:
- General Physics and Astronomy
- General Biochemistry
- Genetics and Molecular Biology
- General Chemistry
- Multidisciplinary
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1038/s41467-023-38540-3
month: '06'
oa: 1
oa_version: Published Version
pmid: 1
publication: Nature Communications
publication_identifier:
eissn:
- 2041-1723
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Witnessing light-driven entanglement using time-resolved resonant inelastic
X-ray scattering
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 14
year: '2023'
...
---
_id: '13990'
abstract:
- lang: eng
text: Many-body entanglement in condensed matter systems can be diagnosed from equilibrium
response functions through the use of entanglement witnesses and operator-specific
quantum bounds. Here, we investigate the applicability of this approach for detecting
entangled states in quantum systems driven out of equilibrium. We use a multipartite
entanglement witness, the quantum Fisher information, to study the dynamics of
a paradigmatic fermion chain undergoing a time-dependent change of the Coulomb
interaction. Our results show that the quantum Fisher information is able to witness
distinct signatures of multipartite entanglement both near and far from equilibrium
that are robust against decoherence. We discuss implications of these findings
for probing entanglement in light-driven quantum materials with time-resolved
optical and x-ray scattering methods.
article_number: '106902'
article_processing_charge: No
article_type: original
author:
- first_name: Denitsa Rangelova
full_name: Baykusheva, Denitsa Rangelova
id: 71b4d059-2a03-11ee-914d-dfa3beed6530
last_name: Baykusheva
- first_name: Mona H.
full_name: Kalthoff, Mona H.
last_name: Kalthoff
- first_name: Damian
full_name: Hofmann, Damian
last_name: Hofmann
- first_name: Martin
full_name: Claassen, Martin
last_name: Claassen
- first_name: Dante M.
full_name: Kennes, Dante M.
last_name: Kennes
- first_name: Michael A.
full_name: Sentef, Michael A.
last_name: Sentef
- first_name: Matteo
full_name: Mitrano, Matteo
last_name: Mitrano
citation:
ama: Baykusheva DR, Kalthoff MH, Hofmann D, et al. Witnessing nonequilibrium entanglement
dynamics in a strongly correlated fermionic chain. Physical Review Letters.
2023;130(10). doi:10.1103/physrevlett.130.106902
apa: Baykusheva, D. R., Kalthoff, M. H., Hofmann, D., Claassen, M., Kennes, D. M.,
Sentef, M. A., & Mitrano, M. (2023). Witnessing nonequilibrium entanglement
dynamics in a strongly correlated fermionic chain. Physical Review Letters.
American Physical Society. https://doi.org/10.1103/physrevlett.130.106902
chicago: Baykusheva, Denitsa Rangelova, Mona H. Kalthoff, Damian Hofmann, Martin
Claassen, Dante M. Kennes, Michael A. Sentef, and Matteo Mitrano. “Witnessing
Nonequilibrium Entanglement Dynamics in a Strongly Correlated Fermionic Chain.”
Physical Review Letters. American Physical Society, 2023. https://doi.org/10.1103/physrevlett.130.106902.
ieee: D. R. Baykusheva et al., “Witnessing nonequilibrium entanglement dynamics
in a strongly correlated fermionic chain,” Physical Review Letters, vol.
130, no. 10. American Physical Society, 2023.
ista: Baykusheva DR, Kalthoff MH, Hofmann D, Claassen M, Kennes DM, Sentef MA, Mitrano
M. 2023. Witnessing nonequilibrium entanglement dynamics in a strongly correlated
fermionic chain. Physical Review Letters. 130(10), 106902.
mla: Baykusheva, Denitsa Rangelova, et al. “Witnessing Nonequilibrium Entanglement
Dynamics in a Strongly Correlated Fermionic Chain.” Physical Review Letters,
vol. 130, no. 10, 106902, American Physical Society, 2023, doi:10.1103/physrevlett.130.106902.
short: D.R. Baykusheva, M.H. Kalthoff, D. Hofmann, M. Claassen, D.M. Kennes, M.A.
Sentef, M. Mitrano, Physical Review Letters 130 (2023).
date_created: 2023-08-09T13:07:24Z
date_published: 2023-03-10T00:00:00Z
date_updated: 2023-08-22T07:18:01Z
day: '10'
doi: 10.1103/physrevlett.130.106902
extern: '1'
external_id:
arxiv:
- '2209.02081'
pmid:
- '36962013'
intvolume: ' 130'
issue: '10'
keyword:
- General Physics and Astronomy
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2209.02081
month: '03'
oa: 1
oa_version: Preprint
pmid: 1
publication: Physical Review Letters
publication_identifier:
eissn:
- 1079-7114
issn:
- 0031-9007
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Witnessing nonequilibrium entanglement dynamics in a strongly correlated fermionic
chain
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 130
year: '2023'
...
---
_id: '12697'
abstract:
- lang: eng
text: Models for same-material contact electrification in granular media often rely
on a local charge-driving parameter whose spatial variations lead to a stochastic
origin for charge exchange. Measuring the charge transfer from individual granular
spheres after contacts with substrates of the same material, we find instead a
“global” charging behavior, coherent over the sample’s whole surface. Cleaning
and baking samples fully resets charging magnitude and direction, which indicates
the underlying global parameter is not intrinsic to the material, but acquired
from its history. Charging behavior is randomly and irreversibly affected by changes
in relative humidity, hinting at a mechanism where adsorbates, in particular,
water, are fundamental to the charge-transfer process.
acknowledgement: "We would like to thank Troy Shinbrot, Victor Lee and Daniele Foresti
for helpful discussions. This project has received funding from the European Research
Council Grant Agreement No. 949120 and from the the Marie Sk lodowska-Curie Grant
Agreement No. 754411 under\r\nthe European Union’s Horizon 2020 research and innovation
program."
article_number: '098202'
article_processing_charge: No
article_type: original
author:
- first_name: Galien M
full_name: Grosjean, Galien M
id: 0C5FDA4A-9CF6-11E9-8939-FF05E6697425
last_name: Grosjean
orcid: 0000-0001-5154-417X
- first_name: Scott R
full_name: Waitukaitis, Scott R
id: 3A1FFC16-F248-11E8-B48F-1D18A9856A87
last_name: Waitukaitis
orcid: 0000-0002-2299-3176
citation:
ama: Grosjean GM, Waitukaitis SR. Single-collision statistics reveal a global mechanism
driven by sample history for contact electrification in granular media. Physical
Review Letters. 2023;130(9). doi:10.1103/physrevlett.130.098202
apa: Grosjean, G. M., & Waitukaitis, S. R. (2023). Single-collision statistics
reveal a global mechanism driven by sample history for contact electrification
in granular media. Physical Review Letters. American Physical Society.
https://doi.org/10.1103/physrevlett.130.098202
chicago: Grosjean, Galien M, and Scott R Waitukaitis. “Single-Collision Statistics
Reveal a Global Mechanism Driven by Sample History for Contact Electrification
in Granular Media.” Physical Review Letters. American Physical Society,
2023. https://doi.org/10.1103/physrevlett.130.098202.
ieee: G. M. Grosjean and S. R. Waitukaitis, “Single-collision statistics reveal
a global mechanism driven by sample history for contact electrification in granular
media,” Physical Review Letters, vol. 130, no. 9. American Physical Society,
2023.
ista: Grosjean GM, Waitukaitis SR. 2023. Single-collision statistics reveal a global
mechanism driven by sample history for contact electrification in granular media.
Physical Review Letters. 130(9), 098202.
mla: Grosjean, Galien M., and Scott R. Waitukaitis. “Single-Collision Statistics
Reveal a Global Mechanism Driven by Sample History for Contact Electrification
in Granular Media.” Physical Review Letters, vol. 130, no. 9, 098202, American
Physical Society, 2023, doi:10.1103/physrevlett.130.098202.
short: G.M. Grosjean, S.R. Waitukaitis, Physical Review Letters 130 (2023).
date_created: 2023-02-28T12:14:46Z
date_published: 2023-03-03T00:00:00Z
date_updated: 2023-08-22T08:41:32Z
day: '03'
ddc:
- '530'
- '537'
department:
- _id: ScWa
doi: 10.1103/physrevlett.130.098202
ec_funded: 1
external_id:
arxiv:
- '2211.02488'
isi:
- '000946178200008'
file:
- access_level: open_access
checksum: c4f2f6eea0408811f8f4898e15890355
content_type: application/pdf
creator: ggrosjea
date_created: 2023-02-28T12:20:27Z
date_updated: 2023-02-28T12:20:27Z
file_id: '12698'
file_name: Main_Preprint.pdf
file_size: 2301864
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success: 1
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content_type: application/pdf
creator: ggrosjea
date_created: 2023-02-28T12:20:55Z
date_updated: 2023-02-28T12:20:55Z
file_id: '12699'
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creator: ggrosjea
date_created: 2023-02-28T12:37:54Z
date_updated: 2023-02-28T12:37:54Z
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file_size: 793449
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content_type: video/mp4
creator: ggrosjea
date_created: 2023-02-28T12:37:54Z
date_updated: 2023-02-28T12:37:54Z
file_id: '12701'
file_name: Suppl_vid2.mp4
file_size: 455925
relation: main_file
success: 1
file_date_updated: 2023-02-28T12:37:54Z
has_accepted_license: '1'
intvolume: ' 130'
isi: 1
issue: '9'
keyword:
- General Physics
- Electrostatics
- Triboelectricity
- Soft Matter
- Acoustic Levitation
- Granular Materials
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2211.02488
month: '03'
oa: 1
oa_version: Preprint
project:
- _id: 0aa60e99-070f-11eb-9043-a6de6bdc3afa
call_identifier: H2020
grant_number: '949120'
name: 'Tribocharge: a multi-scale approach to an enduring problem in physics'
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: Physical Review Letters
publication_identifier:
eissn:
- 1079-7114
issn:
- 0031-9007
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
related_material:
record:
- id: '8101'
relation: research_paper
status: public
status: public
title: Single-collision statistics reveal a global mechanism driven by sample history
for contact electrification in granular media
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 130
year: '2023'
...
---
_id: '14103'
abstract:
- lang: eng
text: Observations of individual massive stars, super-luminous supernovae, gamma-ray
bursts, and gravitational wave events involving spectacular black hole mergers
indicate that the low-metallicity Universe is fundamentally different from our
own Galaxy. Many transient phenomena will remain enigmatic until we achieve a
firm understanding of the physics and evolution of massive stars at low metallicity
(Z). The Hubble Space Telescope has devoted 500 orbits to observing ∼250 massive
stars at low Z in the ultraviolet (UV) with the COS and STIS spectrographs under
the ULLYSES programme. The complementary X-Shooting ULLYSES (XShootU) project
provides an enhanced legacy value with high-quality optical and near-infrared
spectra obtained with the wide-wavelength coverage X-shooter spectrograph at ESO’s
Very Large Telescope. We present an overview of the XShootU project, showing that
combining ULLYSES UV and XShootU optical spectra is critical for the uniform determination
of stellar parameters such as effective temperature, surface gravity, luminosity,
and abundances, as well as wind properties such as mass-loss rates as a function
of Z. As uncertainties in stellar and wind parameters percolate into many adjacent
areas of astrophysics, the data and modelling of the XShootU project is expected
to be a game changer for our physical understanding of massive stars at low Z.
To be able to confidently interpret James Webb Space Telescope spectra of the
first stellar generations, the individual spectra of low-Z stars need to be understood,
which is exactly where XShootU can deliver.
article_number: A154
article_processing_charge: No
article_type: original
author:
- first_name: Jorick S.
full_name: Vink, Jorick S.
last_name: Vink
- first_name: A.
full_name: Mehner, A.
last_name: Mehner
- first_name: P. A.
full_name: Crowther, P. A.
last_name: Crowther
- first_name: A.
full_name: Fullerton, A.
last_name: Fullerton
- first_name: M.
full_name: Garcia, M.
last_name: Garcia
- first_name: F.
full_name: Martins, F.
last_name: Martins
- first_name: N.
full_name: Morrell, N.
last_name: Morrell
- first_name: L. M.
full_name: Oskinova, L. M.
last_name: Oskinova
- first_name: N.
full_name: St-Louis, N.
last_name: St-Louis
- first_name: A.
full_name: ud-Doula, A.
last_name: ud-Doula
- first_name: A. A. C.
full_name: Sander, A. A. C.
last_name: Sander
- first_name: H.
full_name: Sana, H.
last_name: Sana
- first_name: J.-C.
full_name: Bouret, J.-C.
last_name: Bouret
- first_name: B.
full_name: Kubátová, B.
last_name: Kubátová
- first_name: P.
full_name: Marchant, P.
last_name: Marchant
- first_name: L. P.
full_name: Martins, L. P.
last_name: Martins
- first_name: A.
full_name: Wofford, A.
last_name: Wofford
- first_name: J. Th.
full_name: van Loon, J. Th.
last_name: van Loon
- first_name: O.
full_name: Grace Telford, O.
last_name: Grace Telford
- first_name: Ylva Louise Linsdotter
full_name: Götberg, Ylva Louise Linsdotter
id: d0648d0c-0f64-11ee-a2e0-dd0faa2e4f7d
last_name: Götberg
orcid: 0000-0002-6960-6911
- first_name: D. M.
full_name: Bowman, D. M.
last_name: Bowman
- first_name: C.
full_name: Erba, C.
last_name: Erba
- first_name: V. M.
full_name: Kalari, V. M.
last_name: Kalari
- first_name: M.
full_name: Abdul-Masih, M.
last_name: Abdul-Masih
- first_name: T.
full_name: Alkousa, T.
last_name: Alkousa
- first_name: F.
full_name: Backs, F.
last_name: Backs
- first_name: C. L.
full_name: Barbosa, C. L.
last_name: Barbosa
- first_name: S. R.
full_name: Berlanas, S. R.
last_name: Berlanas
- first_name: M.
full_name: Bernini-Peron, M.
last_name: Bernini-Peron
- first_name: J. M.
full_name: Bestenlehner, J. M.
last_name: Bestenlehner
- first_name: R.
full_name: Blomme, R.
last_name: Blomme
- first_name: J.
full_name: Bodensteiner, J.
last_name: Bodensteiner
- first_name: S. A.
full_name: Brands, S. A.
last_name: Brands
- first_name: C. J.
full_name: Evans, C. J.
last_name: Evans
- first_name: A.
full_name: David-Uraz, A.
last_name: David-Uraz
- first_name: F. A.
full_name: Driessen, F. A.
last_name: Driessen
- first_name: K.
full_name: Dsilva, K.
last_name: Dsilva
- first_name: S.
full_name: Geen, S.
last_name: Geen
- first_name: V. M. A.
full_name: Gómez-González, V. M. A.
last_name: Gómez-González
- first_name: L.
full_name: Grassitelli, L.
last_name: Grassitelli
- first_name: W.-R.
full_name: Hamann, W.-R.
last_name: Hamann
- first_name: C.
full_name: Hawcroft, C.
last_name: Hawcroft
- first_name: A.
full_name: Herrero, A.
last_name: Herrero
- first_name: E. R.
full_name: Higgins, E. R.
last_name: Higgins
- first_name: D.
full_name: John Hillier, D.
last_name: John Hillier
- first_name: R.
full_name: Ignace, R.
last_name: Ignace
- first_name: A. G.
full_name: Istrate, A. G.
last_name: Istrate
- first_name: L.
full_name: Kaper, L.
last_name: Kaper
- first_name: N. D.
full_name: Kee, N. D.
last_name: Kee
- first_name: C.
full_name: Kehrig, C.
last_name: Kehrig
- first_name: Z.
full_name: Keszthelyi, Z.
last_name: Keszthelyi
- first_name: J.
full_name: Klencki, J.
last_name: Klencki
- first_name: A.
full_name: de Koter, A.
last_name: de Koter
- first_name: R.
full_name: Kuiper, R.
last_name: Kuiper
- first_name: E.
full_name: Laplace, E.
last_name: Laplace
- first_name: C. J. K.
full_name: Larkin, C. J. K.
last_name: Larkin
- first_name: R. R.
full_name: Lefever, R. R.
last_name: Lefever
- first_name: C.
full_name: Leitherer, C.
last_name: Leitherer
- first_name: D. J.
full_name: Lennon, D. J.
last_name: Lennon
- first_name: L.
full_name: Mahy, L.
last_name: Mahy
- first_name: J.
full_name: Maíz Apellániz, J.
last_name: Maíz Apellániz
- first_name: G.
full_name: Maravelias, G.
last_name: Maravelias
- first_name: W.
full_name: Marcolino, W.
last_name: Marcolino
- first_name: A. F.
full_name: McLeod, A. F.
last_name: McLeod
- first_name: S. E.
full_name: de Mink, S. E.
last_name: de Mink
- first_name: F.
full_name: Najarro, F.
last_name: Najarro
- first_name: M. S.
full_name: Oey, M. S.
last_name: Oey
- first_name: T. N.
full_name: Parsons, T. N.
last_name: Parsons
- first_name: D.
full_name: Pauli, D.
last_name: Pauli
- first_name: M. G.
full_name: Pedersen, M. G.
last_name: Pedersen
- first_name: R. K.
full_name: Prinja, R. K.
last_name: Prinja
- first_name: V.
full_name: Ramachandran, V.
last_name: Ramachandran
- first_name: M. C.
full_name: Ramírez-Tannus, M. C.
last_name: Ramírez-Tannus
- first_name: G. N.
full_name: Sabhahit, G. N.
last_name: Sabhahit
- first_name: A.
full_name: Schootemeijer, A.
last_name: Schootemeijer
- first_name: S.
full_name: Reyero Serantes, S.
last_name: Reyero Serantes
- first_name: T.
full_name: Shenar, T.
last_name: Shenar
- first_name: G. S.
full_name: Stringfellow, G. S.
last_name: Stringfellow
- first_name: N.
full_name: Sudnik, N.
last_name: Sudnik
- first_name: F.
full_name: Tramper, F.
last_name: Tramper
- first_name: L.
full_name: Wang, L.
last_name: Wang
citation:
ama: 'Vink JS, Mehner A, Crowther PA, et al. X-shooting ULLYSES: Massive stars at
low metallicity. I. Project description. Astronomy & Astrophysics.
2023;675. doi:10.1051/0004-6361/202245650'
apa: 'Vink, J. S., Mehner, A., Crowther, P. A., Fullerton, A., Garcia, M., Martins,
F., … Wang, L. (2023). X-shooting ULLYSES: Massive stars at low metallicity. I.
Project description. Astronomy & Astrophysics. EDP Sciences. https://doi.org/10.1051/0004-6361/202245650'
chicago: 'Vink, Jorick S., A. Mehner, P. A. Crowther, A. Fullerton, M. Garcia, F.
Martins, N. Morrell, et al. “X-Shooting ULLYSES: Massive Stars at Low Metallicity.
I. Project Description.” Astronomy & Astrophysics. EDP Sciences, 2023.
https://doi.org/10.1051/0004-6361/202245650.'
ieee: 'J. S. Vink et al., “X-shooting ULLYSES: Massive stars at low metallicity.
I. Project description,” Astronomy & Astrophysics, vol. 675. EDP Sciences,
2023.'
ista: 'Vink JS, Mehner A, Crowther PA, Fullerton A, Garcia M, Martins F, Morrell
N, Oskinova LM, St-Louis N, ud-Doula A, Sander AAC, Sana H, Bouret J-C, Kubátová
B, Marchant P, Martins LP, Wofford A, van Loon JT, Grace Telford O, Götberg YLL,
Bowman DM, Erba C, Kalari VM, Abdul-Masih M, Alkousa T, Backs F, Barbosa CL, Berlanas
SR, Bernini-Peron M, Bestenlehner JM, Blomme R, Bodensteiner J, Brands SA, Evans
CJ, David-Uraz A, Driessen FA, Dsilva K, Geen S, Gómez-González VMA, Grassitelli
L, Hamann W-R, Hawcroft C, Herrero A, Higgins ER, John Hillier D, Ignace R, Istrate
AG, Kaper L, Kee ND, Kehrig C, Keszthelyi Z, Klencki J, de Koter A, Kuiper R,
Laplace E, Larkin CJK, Lefever RR, Leitherer C, Lennon DJ, Mahy L, Maíz Apellániz
J, Maravelias G, Marcolino W, McLeod AF, de Mink SE, Najarro F, Oey MS, Parsons
TN, Pauli D, Pedersen MG, Prinja RK, Ramachandran V, Ramírez-Tannus MC, Sabhahit
GN, Schootemeijer A, Reyero Serantes S, Shenar T, Stringfellow GS, Sudnik N, Tramper
F, Wang L. 2023. X-shooting ULLYSES: Massive stars at low metallicity. I. Project
description. Astronomy & Astrophysics. 675, A154.'
mla: 'Vink, Jorick S., et al. “X-Shooting ULLYSES: Massive Stars at Low Metallicity.
I. Project Description.” Astronomy & Astrophysics, vol. 675, A154,
EDP Sciences, 2023, doi:10.1051/0004-6361/202245650.'
short: J.S. Vink, A. Mehner, P.A. Crowther, A. Fullerton, M. Garcia, F. Martins,
N. Morrell, L.M. Oskinova, N. St-Louis, A. ud-Doula, A.A.C. Sander, H. Sana, J.-C.
Bouret, B. Kubátová, P. Marchant, L.P. Martins, A. Wofford, J.T. van Loon, O.
Grace Telford, Y.L.L. Götberg, D.M. Bowman, C. Erba, V.M. Kalari, M. Abdul-Masih,
T. Alkousa, F. Backs, C.L. Barbosa, S.R. Berlanas, M. Bernini-Peron, J.M. Bestenlehner,
R. Blomme, J. Bodensteiner, S.A. Brands, C.J. Evans, A. David-Uraz, F.A. Driessen,
K. Dsilva, S. Geen, V.M.A. Gómez-González, L. Grassitelli, W.-R. Hamann, C. Hawcroft,
A. Herrero, E.R. Higgins, D. John Hillier, R. Ignace, A.G. Istrate, L. Kaper,
N.D. Kee, C. Kehrig, Z. Keszthelyi, J. Klencki, A. de Koter, R. Kuiper, E. Laplace,
C.J.K. Larkin, R.R. Lefever, C. Leitherer, D.J. Lennon, L. Mahy, J. Maíz Apellániz,
G. Maravelias, W. Marcolino, A.F. McLeod, S.E. de Mink, F. Najarro, M.S. Oey,
T.N. Parsons, D. Pauli, M.G. Pedersen, R.K. Prinja, V. Ramachandran, M.C. Ramírez-Tannus,
G.N. Sabhahit, A. Schootemeijer, S. Reyero Serantes, T. Shenar, G.S. Stringfellow,
N. Sudnik, F. Tramper, L. Wang, Astronomy & Astrophysics 675 (2023).
date_created: 2023-08-21T10:12:35Z
date_published: 2023-07-01T00:00:00Z
date_updated: 2023-08-22T11:01:07Z
day: '01'
doi: 10.1051/0004-6361/202245650
extern: '1'
external_id:
arxiv:
- '2305.06376'
intvolume: ' 675'
keyword:
- Space and Planetary Science
- Astronomy and Astrophysics
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1051/0004-6361/202245650
month: '07'
oa: 1
oa_version: Published Version
publication: Astronomy & Astrophysics
publication_identifier:
eissn:
- 1432-0746
issn:
- 0004-6361
publication_status: published
publisher: EDP Sciences
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'X-shooting ULLYSES: Massive stars at low metallicity. I. Project description'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 675
year: '2023'
...
---
_id: '13175'
abstract:
- lang: eng
text: "About a 100 years ago, we discovered that our universe is inherently noisy,
that is, measuring any physical quantity with a precision beyond a certain point
is not possible because of an omnipresent inherent noise. We call this - the quantum
noise. Certain physical processes allow this quantum noise to get correlated in
conjugate physical variables. These quantum correlations can be used to go beyond
the potential of our inherently noisy universe and obtain a quantum advantage
over the classical applications. \r\n\r\nQuantum noise being inherent also means
that, at the fundamental level, the physical quantities are not well defined and
therefore, objects can stay in multiple states at the same time. For example,
the position of a particle not being well defined means that the particle is in
multiple positions at the same time. About 4 decades ago, we started exploring
the possibility of using objects which can be in multiple states at the same time
to increase the dimensionality in computation. Thus, the field of quantum computing
was born. We discovered that using quantum entanglement, a property closely related
to quantum correlations, can be used to speed up computation of certain problems,
such as factorisation of large numbers, faster than any known classical algorithm.
Thus began the pursuit to make quantum computers a reality. \r\n\r\nTill date,
we have explored quantum control over many physical systems including photons,
spins, atoms, ions and even simple circuits made up of superconducting material.
However, there persists one ubiquitous theme. The more readily a system interacts
with an external field or matter, the more easily we can control it. But this
also means that such a system can easily interact with a noisy environment and
quickly lose its coherence. Consequently, such systems like electron spins need
to be protected from the environment to ensure the longevity of their coherence.
Other systems like nuclear spins are naturally protected as they do not interact
easily with the environment. But, due to the same reason, it is harder to interact
with such systems. \r\n\r\nAfter decades of experimentation with various systems,
we are convinced that no one type of quantum system would be the best for all
the quantum applications. We would need hybrid systems which are all interconnected
- much like the current internet where all sorts of devices can all talk to each
other - but now for quantum devices. A quantum internet. \r\n\r\nOptical photons
are the best contenders to carry information for the quantum internet. They can
carry quantum information cheaply and without much loss - the same reasons which
has made them the backbone of our current internet. Following this direction,
many systems, like trapped ions, have already demonstrated successful quantum
links over a large distances using optical photons. However, some of the most
promising contenders for quantum computing which are based on microwave frequencies
have been left behind. This is because high energy optical photons can adversely
affect fragile low-energy microwave systems. \r\n\r\nIn this thesis, we present
substantial progress on this missing quantum link between microwave and optics
using electrooptical nonlinearities in lithium niobate. The nonlinearities are
enhanced by using resonant cavities for all the involved modes leading to observation
of strong direct coupling between optical and microwave frequencies. With this
strong coupling we are not only able to achieve almost 100\\% internal conversion
efficiency with low added noise, thus presenting a quantum-enabled transducer,
but also we are able to observe novel effects such as cooling of a microwave mode
using optics. The strong coupling regime also leads to direct observation of dynamical
backaction effect between microwave and optical frequencies which are studied
in detail here. Finally, we also report first observation of microwave-optics
entanglement in form of two-mode squeezed vacuum squeezed 0.7dB below vacuum level.
\r\nWith this new bridge between microwave and optics, the microwave-based quantum
technologies can finally be a part of a quantum network which is based on optical
photons - putting us one step closer to a future with quantum internet. "
acknowledged_ssus:
- _id: M-Shop
- _id: SSU
- _id: NanoFab
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Rishabh
full_name: Sahu, Rishabh
id: 47D26E34-F248-11E8-B48F-1D18A9856A87
last_name: Sahu
orcid: 0000-0001-6264-2162
citation:
ama: Sahu R. Cavity quantum electrooptics. 2023. doi:10.15479/at:ista:13175
apa: Sahu, R. (2023). Cavity quantum electrooptics. Institute of Science
and Technology Austria. https://doi.org/10.15479/at:ista:13175
chicago: Sahu, Rishabh. “Cavity Quantum Electrooptics.” Institute of Science and
Technology Austria, 2023. https://doi.org/10.15479/at:ista:13175.
ieee: R. Sahu, “Cavity quantum electrooptics,” Institute of Science and Technology
Austria, 2023.
ista: Sahu R. 2023. Cavity quantum electrooptics. Institute of Science and Technology
Austria.
mla: Sahu, Rishabh. Cavity Quantum Electrooptics. Institute of Science and
Technology Austria, 2023, doi:10.15479/at:ista:13175.
short: R. Sahu, Cavity Quantum Electrooptics, Institute of Science and Technology
Austria, 2023.
date_created: 2023-06-30T08:07:43Z
date_published: 2023-05-05T00:00:00Z
date_updated: 2023-08-24T11:16:35Z
day: '05'
ddc:
- '537'
- '535'
- '539'
degree_awarded: PhD
department:
- _id: GradSch
- _id: JoFi
doi: 10.15479/at:ista:13175
ec_funded: 1
file:
- access_level: open_access
checksum: 7d03f1a5a5258ee43dfc3323dea4e08f
content_type: application/pdf
creator: cchlebak
date_created: 2023-06-30T08:17:25Z
date_updated: 2023-06-30T08:17:25Z
file_id: '13176'
file_name: thesis_pdfa.pdf
file_size: 18688376
relation: main_file
success: 1
- access_level: closed
checksum: c3b45317ae58e0527533f98c202d81b7
content_type: application/x-zip-compressed
creator: cchlebak
date_created: 2023-07-06T11:35:15Z
date_updated: 2023-07-06T11:35:15Z
file_id: '13196'
file_name: thesis.zip
file_size: 37847025
relation: source_file
file_date_updated: 2023-07-06T11:35:15Z
has_accepted_license: '1'
keyword:
- quantum optics
- electrooptics
- quantum networks
- quantum communication
- transduction
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-sa/4.0/
month: '05'
oa: 1
oa_version: Published Version
page: '202'
project:
- _id: 26336814-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '758053'
name: A Fiber Optic Transceiver for Superconducting Qubits
- _id: 9B868D20-BA93-11EA-9121-9846C619BF3A
call_identifier: H2020
grant_number: '899354'
name: Quantum Local Area Networks with Superconducting Qubits
- _id: bdb108fd-d553-11ed-ba76-83dc74a9864f
name: QUANTUM INFORMATION SYSTEMS BEYOND CLASSICAL CAPABILITIES / P5- Integration
of Superconducting Quantum Circuits
publication_identifier:
isbn:
- 978-3-99078-030-5
issn:
- 2663 - 337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '12900'
relation: old_edition
status: public
- id: '10924'
relation: part_of_dissertation
status: public
- id: '9114'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Johannes M
full_name: Fink, Johannes M
id: 4B591CBA-F248-11E8-B48F-1D18A9856A87
last_name: Fink
orcid: 0000-0001-8112-028X
title: Cavity quantum electrooptics
tmp:
image: /images/cc_by_nc_sa.png
legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC
BY-NC-SA 4.0)
short: CC BY-NC-SA (4.0)
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2023'
...
---
_id: '14242'
abstract:
- lang: eng
text: We study the problem of training and certifying adversarially robust quantized
neural networks (QNNs). Quantization is a technique for making neural networks
more efficient by running them using low-bit integer arithmetic and is therefore
commonly adopted in industry. Recent work has shown that floating-point neural
networks that have been verified to be robust can become vulnerable to adversarial
attacks after quantization, and certification of the quantized representation
is necessary to guarantee robustness. In this work, we present quantization-aware
interval bound propagation (QA-IBP), a novel method for training robust QNNs.
Inspired by advances in robust learning of non-quantized networks, our training
algorithm computes the gradient of an abstract representation of the actual network.
Unlike existing approaches, our method can handle the discrete semantics of QNNs.
Based on QA-IBP, we also develop a complete verification procedure for verifying
the adversarial robustness of QNNs, which is guaranteed to terminate and produce
a correct answer. Compared to existing approaches, the key advantage of our verification
procedure is that it runs entirely on GPU or other accelerator devices. We demonstrate
experimentally that our approach significantly outperforms existing methods and
establish the new state-of-the-art for training and certifying the robustness
of QNNs.
acknowledgement: "This work was supported in part by the ERC-2020-AdG 101020093, ERC
CoG 863818 (FoRM-SMArt) and the European Union’s Horizon 2020 research and innovation
programme under the Marie Skłodowska-Curie Grant Agreement No. 665385. Research
was sponsored by the United\r\nStates Air Force Research Laboratory and the United
States Air Force Artificial Intelligence Accelerator and was accomplished under
Cooperative Agreement Number FA8750-19-2-\r\n1000. The views and conclusions contained
in this document are those of the authors and should not be interpreted as representing
the official policies, either expressed or implied,\r\nof the United States Air
Force or the U.S. Government. The U.S. Government is authorized to reproduce and
distribute reprints for Government purposes notwithstanding any copyright\r\nnotation
herein. The research was also funded in part by the AI2050 program at Schmidt Futures
(Grant G-22-63172) and Capgemini SE."
article_processing_charge: No
author:
- first_name: Mathias
full_name: Lechner, Mathias
id: 3DC22916-F248-11E8-B48F-1D18A9856A87
last_name: Lechner
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
orcid: 0000-0002-4681-1699
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
- first_name: Daniela
full_name: Rus, Daniela
last_name: Rus
citation:
ama: 'Lechner M, Zikelic D, Chatterjee K, Henzinger TA, Rus D. Quantization-aware
interval bound propagation for training certifiably robust quantized neural networks.
In: Proceedings of the 37th AAAI Conference on Artificial Intelligence.
Vol 37. Association for the Advancement of Artificial Intelligence; 2023:14964-14973.
doi:10.1609/aaai.v37i12.26747'
apa: 'Lechner, M., Zikelic, D., Chatterjee, K., Henzinger, T. A., & Rus, D.
(2023). Quantization-aware interval bound propagation for training certifiably
robust quantized neural networks. In Proceedings of the 37th AAAI Conference
on Artificial Intelligence (Vol. 37, pp. 14964–14973). Washington, DC, United
States: Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v37i12.26747'
chicago: Lechner, Mathias, Dorde Zikelic, Krishnendu Chatterjee, Thomas A Henzinger,
and Daniela Rus. “Quantization-Aware Interval Bound Propagation for Training Certifiably
Robust Quantized Neural Networks.” In Proceedings of the 37th AAAI Conference
on Artificial Intelligence, 37:14964–73. Association for the Advancement of
Artificial Intelligence, 2023. https://doi.org/10.1609/aaai.v37i12.26747.
ieee: M. Lechner, D. Zikelic, K. Chatterjee, T. A. Henzinger, and D. Rus, “Quantization-aware
interval bound propagation for training certifiably robust quantized neural networks,”
in Proceedings of the 37th AAAI Conference on Artificial Intelligence,
Washington, DC, United States, 2023, vol. 37, no. 12, pp. 14964–14973.
ista: 'Lechner M, Zikelic D, Chatterjee K, Henzinger TA, Rus D. 2023. Quantization-aware
interval bound propagation for training certifiably robust quantized neural networks.
Proceedings of the 37th AAAI Conference on Artificial Intelligence. AAAI: Conference
on Artificial Intelligence vol. 37, 14964–14973.'
mla: Lechner, Mathias, et al. “Quantization-Aware Interval Bound Propagation for
Training Certifiably Robust Quantized Neural Networks.” Proceedings of the
37th AAAI Conference on Artificial Intelligence, vol. 37, no. 12, Association
for the Advancement of Artificial Intelligence, 2023, pp. 14964–73, doi:10.1609/aaai.v37i12.26747.
short: M. Lechner, D. Zikelic, K. Chatterjee, T.A. Henzinger, D. Rus, in:, Proceedings
of the 37th AAAI Conference on Artificial Intelligence, Association for the Advancement
of Artificial Intelligence, 2023, pp. 14964–14973.
conference:
end_date: 2023-02-14
location: Washington, DC, United States
name: 'AAAI: Conference on Artificial Intelligence'
start_date: 2023-02-07
date_created: 2023-08-27T22:01:17Z
date_published: 2023-06-26T00:00:00Z
date_updated: 2023-09-05T07:06:14Z
day: '26'
department:
- _id: ToHe
- _id: KrCh
doi: 10.1609/aaai.v37i12.26747
ec_funded: 1
external_id:
arxiv:
- '2211.16187'
intvolume: ' 37'
issue: '12'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2211.16187
month: '06'
oa: 1
oa_version: Preprint
page: 14964-14973
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: Proceedings of the 37th AAAI Conference on Artificial Intelligence
publication_identifier:
isbn:
- '9781577358800'
publication_status: published
publisher: Association for the Advancement of Artificial Intelligence
quality_controlled: '1'
scopus_import: '1'
status: public
title: Quantization-aware interval bound propagation for training certifiably robust
quantized neural networks
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 37
year: '2023'
...
---
_id: '14243'
abstract:
- lang: eng
text: 'Two-player zero-sum "graph games" are central in logic, verification, and
multi-agent systems. The game proceeds by placing a token on a vertex of a graph,
and allowing the players to move it to produce an infinite path, which determines
the winner or payoff of the game. Traditionally, the players alternate turns in
moving the token. In "bidding games", however, the players have budgets and in
each turn, an auction (bidding) determines which player moves the token. So far,
bidding games have only been studied as full-information games. In this work we
initiate the study of partial-information bidding games: we study bidding games
in which a player''s initial budget is drawn from a known probability distribution.
We show that while for some bidding mechanisms and objectives, it is straightforward
to adapt the results from the full-information setting to the partial-information
setting, for others, the analysis is significantly more challenging, requires
new techniques, and gives rise to interesting results. Specifically, we study
games with "mean-payoff" objectives in combination with "poorman" bidding. We
construct optimal strategies for a partially-informed player who plays against
a fully-informed adversary. We show that, somewhat surprisingly, the "value" under
pure strategies does not necessarily exist in such games.'
acknowledgement: This research was supported in part by ISF grant no.1679/21, by the
ERC CoG 863818 (ForM-SMArt), and the European Union’s Horizon 2020 research and
innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 665385.
article_processing_charge: No
author:
- first_name: Guy
full_name: Avni, Guy
id: 463C8BC2-F248-11E8-B48F-1D18A9856A87
last_name: Avni
orcid: 0000-0001-5588-8287
- first_name: Ismael R
full_name: Jecker, Ismael R
id: 85D7C63E-7D5D-11E9-9C0F-98C4E5697425
last_name: Jecker
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
orcid: 0000-0002-4681-1699
citation:
ama: 'Avni G, Jecker IR, Zikelic D. Bidding graph games with partially-observable
budgets. In: Proceedings of the 37th AAAI Conference on Artificial Intelligence.
Vol 37. ; 2023:5464-5471. doi:10.1609/aaai.v37i5.25679'
apa: Avni, G., Jecker, I. R., & Zikelic, D. (2023). Bidding graph games with
partially-observable budgets. In Proceedings of the 37th AAAI Conference on
Artificial Intelligence (Vol. 37, pp. 5464–5471). Washington, DC, United States.
https://doi.org/10.1609/aaai.v37i5.25679
chicago: Avni, Guy, Ismael R Jecker, and Dorde Zikelic. “Bidding Graph Games with
Partially-Observable Budgets.” In Proceedings of the 37th AAAI Conference on
Artificial Intelligence, 37:5464–71, 2023. https://doi.org/10.1609/aaai.v37i5.25679.
ieee: G. Avni, I. R. Jecker, and D. Zikelic, “Bidding graph games with partially-observable
budgets,” in Proceedings of the 37th AAAI Conference on Artificial Intelligence,
Washington, DC, United States, 2023, vol. 37, no. 5, pp. 5464–5471.
ista: 'Avni G, Jecker IR, Zikelic D. 2023. Bidding graph games with partially-observable
budgets. Proceedings of the 37th AAAI Conference on Artificial Intelligence. AAAI:
Conference on Artificial Intelligence vol. 37, 5464–5471.'
mla: Avni, Guy, et al. “Bidding Graph Games with Partially-Observable Budgets.”
Proceedings of the 37th AAAI Conference on Artificial Intelligence, vol.
37, no. 5, 2023, pp. 5464–71, doi:10.1609/aaai.v37i5.25679.
short: G. Avni, I.R. Jecker, D. Zikelic, in:, Proceedings of the 37th AAAI Conference
on Artificial Intelligence, 2023, pp. 5464–5471.
conference:
end_date: 2023-02-14
location: Washington, DC, United States
name: 'AAAI: Conference on Artificial Intelligence'
start_date: 2023-02-07
date_created: 2023-08-27T22:01:18Z
date_published: 2023-06-27T00:00:00Z
date_updated: 2023-09-05T08:37:00Z
day: '27'
department:
- _id: ToHe
- _id: KrCh
doi: 10.1609/aaai.v37i5.25679
ec_funded: 1
external_id:
arxiv:
- '2211.13626'
intvolume: ' 37'
issue: '5'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1609/aaai.v37i5.25679
month: '06'
oa: 1
oa_version: Published Version
page: 5464-5471
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: Proceedings of the 37th AAAI Conference on Artificial Intelligence
publication_identifier:
isbn:
- '9781577358800'
publication_status: published
quality_controlled: '1'
scopus_import: '1'
status: public
title: Bidding graph games with partially-observable budgets
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 37
year: '2023'
...
---
_id: '14241'
abstract:
- lang: eng
text: We present a technique to optimize the reflectivity of a surface while preserving
its overall shape. The naïve optimization of the mesh vertices using the gradients
of reflectivity simulations results in undesirable distortion. In contrast, our
robust formulation optimizes the surface normal as an independent variable that
bridges the reflectivity term with differential rendering, and the regularization
term with as-rigid-as-possible elastic energy. We further adaptively subdivide
the input mesh to improve the convergence. Consequently, our method can minimize
the retroreflectivity of a wide range of input shapes, resulting in sharply creased
shapes ubiquitous among stealth aircraft and Sci-Fi vehicles. Furthermore, by
changing the reward for the direction of the outgoing light directions, our method
can be applied to other reflectivity design tasks, such as the optimization of
architectural walls to concentrate light in a specific region. We have tested
the proposed method using light-transport simulations and real-world 3D-printed
objects.
acknowledgement: "The authors would like to thank Yuki Koyama and Takeo Igarashi for
early discussions, and Yuta Yaguchi for support in 3D printing. This research is
partially supported by the Israel Science Foundation grant number 1390/19.\r\n"
article_number: '20'
article_processing_charge: No
author:
- first_name: Kenji
full_name: Tojo, Kenji
last_name: Tojo
- first_name: Ariel
full_name: Shamir, Ariel
last_name: Shamir
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Nobuyuki
full_name: Umetani, Nobuyuki
last_name: Umetani
citation:
ama: 'Tojo K, Shamir A, Bickel B, Umetani N. Stealth shaper: Reflectivity optimization
as surface stylization. In: SIGGRAPH 2023 Conference Proceedings. Association
for Computing Machinery; 2023. doi:10.1145/3588432.3591542'
apa: 'Tojo, K., Shamir, A., Bickel, B., & Umetani, N. (2023). Stealth shaper:
Reflectivity optimization as surface stylization. In SIGGRAPH 2023 Conference
Proceedings. Los Angeles, CA, United States: Association for Computing Machinery.
https://doi.org/10.1145/3588432.3591542'
chicago: 'Tojo, Kenji, Ariel Shamir, Bernd Bickel, and Nobuyuki Umetani. “Stealth
Shaper: Reflectivity Optimization as Surface Stylization.” In SIGGRAPH 2023
Conference Proceedings. Association for Computing Machinery, 2023. https://doi.org/10.1145/3588432.3591542.'
ieee: 'K. Tojo, A. Shamir, B. Bickel, and N. Umetani, “Stealth shaper: Reflectivity
optimization as surface stylization,” in SIGGRAPH 2023 Conference Proceedings,
Los Angeles, CA, United States, 2023.'
ista: 'Tojo K, Shamir A, Bickel B, Umetani N. 2023. Stealth shaper: Reflectivity
optimization as surface stylization. SIGGRAPH 2023 Conference Proceedings. SIGGRAPH:
Computer Graphics and Interactive Techniques Conference, 20.'
mla: 'Tojo, Kenji, et al. “Stealth Shaper: Reflectivity Optimization as Surface
Stylization.” SIGGRAPH 2023 Conference Proceedings, 20, Association for
Computing Machinery, 2023, doi:10.1145/3588432.3591542.'
short: K. Tojo, A. Shamir, B. Bickel, N. Umetani, in:, SIGGRAPH 2023 Conference
Proceedings, Association for Computing Machinery, 2023.
conference:
end_date: 2023-08-10
location: Los Angeles, CA, United States
name: 'SIGGRAPH: Computer Graphics and Interactive Techniques Conference'
start_date: 2023-08-06
date_created: 2023-08-27T22:01:17Z
date_published: 2023-07-23T00:00:00Z
date_updated: 2023-09-05T07:22:03Z
day: '23'
department:
- _id: BeBi
doi: 10.1145/3588432.3591542
external_id:
arxiv:
- '2305.05944'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2305.05944
month: '07'
oa: 1
oa_version: Preprint
publication: SIGGRAPH 2023 Conference Proceedings
publication_identifier:
isbn:
- '9798400701597'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Stealth shaper: Reflectivity optimization as surface stylization'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '13310'
abstract:
- lang: eng
text: Machine-learned systems are in widespread use for making decisions about humans,
and it is important that they are fair, i.e., not biased against individuals based
on sensitive attributes. We present runtime verification of algorithmic fairness
for systems whose models are unknown, but are assumed to have a Markov chain structure.
We introduce a specification language that can model many common algorithmic fairness
properties, such as demographic parity, equal opportunity, and social burden.
We build monitors that observe a long sequence of events as generated by a given
system, and output, after each observation, a quantitative estimate of how fair
or biased the system was on that run until that point in time. The estimate is
proven to be correct modulo a variable error bound and a given confidence level,
where the error bound gets tighter as the observed sequence gets longer. Our monitors
are of two types, and use, respectively, frequentist and Bayesian statistical
inference techniques. While the frequentist monitors compute estimates that are
objectively correct with respect to the ground truth, the Bayesian monitors compute
estimates that are correct subject to a given prior belief about the system’s
model. Using a prototype implementation, we show how we can monitor if a bank
is fair in giving loans to applicants from different social backgrounds, and if
a college is fair in admitting students while maintaining a reasonable financial
burden on the society. Although they exhibit different theoretical complexities
in certain cases, in our experiments, both frequentist and Bayesian monitors took
less than a millisecond to update their verdicts after each observation.
acknowledgement: 'This work is supported by the European Research Council under Grant
No.: ERC-2020-AdG101020093.'
alternative_title:
- LNCS
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
- first_name: Mahyar
full_name: Karimi, Mahyar
id: f1dedef5-2f78-11ee-989a-c4c97bccf506
last_name: Karimi
orcid: 0009-0005-0820-1696
- first_name: Konstantin
full_name: Kueffner, Konstantin
id: 8121a2d0-dc85-11ea-9058-af578f3b4515
last_name: Kueffner
orcid: 0000-0001-8974-2542
- first_name: Kaushik
full_name: Mallik, Kaushik
id: 0834ff3c-6d72-11ec-94e0-b5b0a4fb8598
last_name: Mallik
orcid: 0000-0001-9864-7475
citation:
ama: 'Henzinger TA, Karimi M, Kueffner K, Mallik K. Monitoring algorithmic fairness.
In: Computer Aided Verification. Vol 13965. Springer Nature; 2023:358–382.
doi:10.1007/978-3-031-37703-7_17'
apa: 'Henzinger, T. A., Karimi, M., Kueffner, K., & Mallik, K. (2023). Monitoring
algorithmic fairness. In Computer Aided Verification (Vol. 13965, pp. 358–382).
Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-37703-7_17'
chicago: Henzinger, Thomas A, Mahyar Karimi, Konstantin Kueffner, and Kaushik Mallik.
“Monitoring Algorithmic Fairness.” In Computer Aided Verification, 13965:358–382.
Springer Nature, 2023. https://doi.org/10.1007/978-3-031-37703-7_17.
ieee: T. A. Henzinger, M. Karimi, K. Kueffner, and K. Mallik, “Monitoring algorithmic
fairness,” in Computer Aided Verification, Paris, France, 2023, vol. 13965,
pp. 358–382.
ista: 'Henzinger TA, Karimi M, Kueffner K, Mallik K. 2023. Monitoring algorithmic
fairness. Computer Aided Verification. CAV: Computer Aided Verification, LNCS,
vol. 13965, 358–382.'
mla: Henzinger, Thomas A., et al. “Monitoring Algorithmic Fairness.” Computer
Aided Verification, vol. 13965, Springer Nature, 2023, pp. 358–382, doi:10.1007/978-3-031-37703-7_17.
short: T.A. Henzinger, M. Karimi, K. Kueffner, K. Mallik, in:, Computer Aided Verification,
Springer Nature, 2023, pp. 358–382.
conference:
end_date: 2023-07-22
location: Paris, France
name: 'CAV: Computer Aided Verification'
start_date: 2023-07-17
date_created: 2023-07-25T18:32:40Z
date_published: 2023-07-18T00:00:00Z
date_updated: 2023-09-05T15:14:00Z
day: '18'
ddc:
- '000'
department:
- _id: GradSch
- _id: ToHe
doi: 10.1007/978-3-031-37703-7_17
ec_funded: 1
external_id:
arxiv:
- '2305.15979'
file:
- access_level: open_access
checksum: ccaf94bf7d658ba012c016e11869b54c
content_type: application/pdf
creator: dernst
date_created: 2023-07-31T08:11:20Z
date_updated: 2023-07-31T08:11:20Z
file_id: '13327'
file_name: 2023_LNCS_CAV_HenzingerT.pdf
file_size: 647760
relation: main_file
success: 1
file_date_updated: 2023-07-31T08:11:20Z
has_accepted_license: '1'
intvolume: ' 13965'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: 358–382
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
publication: Computer Aided Verification
publication_identifier:
eisbn:
- '9783031377037'
eissn:
- 1611-3349
isbn:
- '9783031377020'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
status: public
title: Monitoring algorithmic fairness
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 13965
year: '2023'
...
---
_id: '12205'
abstract:
- lang: eng
text: "Background: This study seeks to evaluate the impact of breast cancer (BRCA)
gene status on tumor dissemination pattern, surgical outcome and survival in a
multicenter cohort of paired primary ovarian cancer (pOC) and recurrent ovarian
cancer (rOC).\r\n\r\nPatients and Methods: Medical records and follow-up data
from 190 patients were gathered retrospectively. All patients had surgery at pOC
and at least one further rOC surgery at four European high-volume centers. Patients
were divided into one cohort with confirmed mutation for BRCA1 and/or BRCA2 (BRCAmut)
and a second cohort with BRCA wild type or unknown (BRCAwt). Patterns of tumor
presentation, surgical outcome and survival data were analyzed between the two
groups.\r\n\r\nResults: Patients with BRCAmut disease were on average 4 years
younger and had significantly more tumor involvement upon diagnosis. Patients
with BRCAmut disease showed higher debulking rates at all stages. Multivariate
analysis showed that only patient age had significant predictive value for complete
tumor resection in pOC. At rOC, however, only BRCAmut status significantly correlated
with optimal debulking. Patients with BRCAmut disease showed significantly prolonged
overall survival (OS) by 24.3 months. Progression-free survival (PFS) was prolonged
in the BRCAmut group at all stages as well, reaching statistical significance
during recurrence.\r\n\r\nConclusions: Patients with BRCAmut disease showed a
more aggressive course of disease with earlier onset and more extensive tumor
dissemination at pOC. However, surgical outcome and OS were significantly better
in patients with BRCAmut disease compared with patients with BRCAwt disease. We
therefore propose to consider BRCAmut status in regard to patient selection for
cytoreductive surgery, especially in rOC."
acknowledgement: "E.I.B. is a Feodor Lynen fellow of the Humboldt Foundation and a
participant of the Charité Clinical Scientist Program funded by the Charité Universitätsmedizin
Berlin and the Berlin Institute of Health. This work was supported by European Commission’s
Seventh Framework Programme under grant agreement no. 279113 (OCTIPS; www.octips.eu).\r\nOpen
Access funding enabled and organized by Projekt DEAL."
article_processing_charge: No
article_type: original
author:
- first_name: Jacek
full_name: Glajzer, Jacek
last_name: Glajzer
- first_name: Dan Cacsire
full_name: Castillo-Tong, Dan Cacsire
last_name: Castillo-Tong
- first_name: Rolf
full_name: Richter, Rolf
last_name: Richter
- first_name: Ignace
full_name: Vergote, Ignace
last_name: Vergote
- first_name: Hagen
full_name: Kulbe, Hagen
last_name: Kulbe
- first_name: Adriaan
full_name: Vanderstichele, Adriaan
last_name: Vanderstichele
- first_name: Ilary
full_name: Ruscito, Ilary
last_name: Ruscito
- first_name: Fabian
full_name: Trillsch, Fabian
last_name: Trillsch
- first_name: Alexander
full_name: Mustea, Alexander
last_name: Mustea
- first_name: Caroline
full_name: Kreuzinger, Caroline
id: 382077BA-F248-11E8-B48F-1D18A9856A87
last_name: Kreuzinger
- first_name: Charlie
full_name: Gourley, Charlie
last_name: Gourley
- first_name: Hani
full_name: Gabra, Hani
last_name: Gabra
- first_name: Eliane T.
full_name: Taube, Eliane T.
last_name: Taube
- first_name: Oliver
full_name: Dorigo, Oliver
last_name: Dorigo
- first_name: David
full_name: Horst, David
last_name: Horst
- first_name: Carlotta
full_name: Keunecke, Carlotta
last_name: Keunecke
- first_name: Joanna
full_name: Baum, Joanna
last_name: Baum
- first_name: Timothy
full_name: Angelotti, Timothy
last_name: Angelotti
- first_name: Jalid
full_name: Sehouli, Jalid
last_name: Sehouli
- first_name: Elena Ioana
full_name: Braicu, Elena Ioana
last_name: Braicu
citation:
ama: 'Glajzer J, Castillo-Tong DC, Richter R, et al. Impact of BRCA mutation status
on tumor dissemination pattern, surgical outcome and patient survival in primary
and recurrent high-grade serous ovarian cancer: A multicenter retrospective study
by the Ovarian Cancer Therapy-Innovative Models Prolong Survival (OCTIPS) consortium.
Annals of Surgical Oncology. 2023;30:35-45. doi:10.1245/s10434-022-12459-3'
apa: 'Glajzer, J., Castillo-Tong, D. C., Richter, R., Vergote, I., Kulbe, H., Vanderstichele,
A., … Braicu, E. I. (2023). Impact of BRCA mutation status on tumor dissemination
pattern, surgical outcome and patient survival in primary and recurrent high-grade
serous ovarian cancer: A multicenter retrospective study by the Ovarian Cancer
Therapy-Innovative Models Prolong Survival (OCTIPS) consortium. Annals of Surgical
Oncology. Springer Nature. https://doi.org/10.1245/s10434-022-12459-3'
chicago: 'Glajzer, Jacek, Dan Cacsire Castillo-Tong, Rolf Richter, Ignace Vergote,
Hagen Kulbe, Adriaan Vanderstichele, Ilary Ruscito, et al. “Impact of BRCA Mutation
Status on Tumor Dissemination Pattern, Surgical Outcome and Patient Survival in
Primary and Recurrent High-Grade Serous Ovarian Cancer: A Multicenter Retrospective
Study by the Ovarian Cancer Therapy-Innovative Models Prolong Survival (OCTIPS) Consortium.”
Annals of Surgical Oncology. Springer Nature, 2023. https://doi.org/10.1245/s10434-022-12459-3.'
ieee: 'J. Glajzer et al., “Impact of BRCA mutation status on tumor dissemination
pattern, surgical outcome and patient survival in primary and recurrent high-grade
serous ovarian cancer: A multicenter retrospective study by the Ovarian Cancer
Therapy-Innovative Models Prolong Survival (OCTIPS) consortium,” Annals of
Surgical Oncology, vol. 30. Springer Nature, pp. 35–45, 2023.'
ista: 'Glajzer J, Castillo-Tong DC, Richter R, Vergote I, Kulbe H, Vanderstichele
A, Ruscito I, Trillsch F, Mustea A, Kreuzinger C, Gourley C, Gabra H, Taube ET,
Dorigo O, Horst D, Keunecke C, Baum J, Angelotti T, Sehouli J, Braicu EI. 2023.
Impact of BRCA mutation status on tumor dissemination pattern, surgical outcome
and patient survival in primary and recurrent high-grade serous ovarian cancer:
A multicenter retrospective study by the Ovarian Cancer Therapy-Innovative Models
Prolong Survival (OCTIPS) consortium. Annals of Surgical Oncology. 30, 35–45.'
mla: 'Glajzer, Jacek, et al. “Impact of BRCA Mutation Status on Tumor Dissemination
Pattern, Surgical Outcome and Patient Survival in Primary and Recurrent High-Grade
Serous Ovarian Cancer: A Multicenter Retrospective Study by the Ovarian Cancer
Therapy-Innovative Models Prolong Survival (OCTIPS) Consortium.” Annals of
Surgical Oncology, vol. 30, Springer Nature, 2023, pp. 35–45, doi:10.1245/s10434-022-12459-3.'
short: J. Glajzer, D.C. Castillo-Tong, R. Richter, I. Vergote, H. Kulbe, A. Vanderstichele,
I. Ruscito, F. Trillsch, A. Mustea, C. Kreuzinger, C. Gourley, H. Gabra, E.T.
Taube, O. Dorigo, D. Horst, C. Keunecke, J. Baum, T. Angelotti, J. Sehouli, E.I.
Braicu, Annals of Surgical Oncology 30 (2023) 35–45.
date_created: 2023-01-16T09:44:36Z
date_published: 2023-01-01T00:00:00Z
date_updated: 2023-09-05T15:18:37Z
day: '01'
ddc:
- '610'
department:
- _id: JoDa
doi: 10.1245/s10434-022-12459-3
external_id:
isi:
- '000852125500006'
file:
- access_level: open_access
checksum: 36a1200e1011f4b2155a8041d0308f34
content_type: application/pdf
creator: dernst
date_created: 2023-02-02T13:01:20Z
date_updated: 2023-02-02T13:01:20Z
file_id: '12490'
file_name: 2023_AnnalsSurgicalOncology_Glajzer.pdf
file_size: 365865
relation: main_file
success: 1
file_date_updated: 2023-02-02T13:01:20Z
has_accepted_license: '1'
intvolume: ' 30'
isi: 1
keyword:
- Oncology
- Surgery
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
page: 35-45
publication: Annals of Surgical Oncology
publication_identifier:
eissn:
- 1534-4681
issn:
- 1068-9265
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
record:
- id: '12115'
relation: other
status: public
scopus_import: '1'
status: public
title: 'Impact of BRCA mutation status on tumor dissemination pattern, surgical outcome
and patient survival in primary and recurrent high-grade serous ovarian cancer:
A multicenter retrospective study by the Ovarian Cancer Therapy-Innovative Models
Prolong Survival (OCTIPS) consortium'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 30
year: '2023'
...
---
_id: '12115'
acknowledgement: This work was supported by European Commission’s Seventh Framework
Programme under Grant Agreement No. 279113 (OCTIPS; www.octips.eu).
article_processing_charge: No
article_type: original
author:
- first_name: Jacek
full_name: Glajzer, Jacek
last_name: Glajzer
- first_name: Dan Cacsire
full_name: Castillo-Tong, Dan Cacsire
last_name: Castillo-Tong
- first_name: Rolf
full_name: Richter, Rolf
last_name: Richter
- first_name: Ignace
full_name: Vergote, Ignace
last_name: Vergote
- first_name: Hagen
full_name: Kulbe, Hagen
last_name: Kulbe
- first_name: Adriaan
full_name: Vanderstichele, Adriaan
last_name: Vanderstichele
- first_name: Ilary
full_name: Ruscito, Ilary
last_name: Ruscito
- first_name: Fabian
full_name: Trillsch, Fabian
last_name: Trillsch
- first_name: Alexander
full_name: Mustea, Alexander
last_name: Mustea
- first_name: Caroline
full_name: Kreuzinger, Caroline
id: 382077BA-F248-11E8-B48F-1D18A9856A87
last_name: Kreuzinger
- first_name: Charlie
full_name: Gourley, Charlie
last_name: Gourley
- first_name: Hani
full_name: Gabra, Hani
last_name: Gabra
- first_name: Eliane T.
full_name: Taube, Eliane T.
last_name: Taube
- first_name: Oliver
full_name: Dorigo, Oliver
last_name: Dorigo
- first_name: David
full_name: Horst, David
last_name: Horst
- first_name: Carlotta
full_name: Keunecke, Carlotta
last_name: Keunecke
- first_name: Joanna
full_name: Baum, Joanna
last_name: Baum
- first_name: Timothy
full_name: Angelotti, Timothy
last_name: Angelotti
- first_name: Jalid
full_name: Sehouli, Jalid
last_name: Sehouli
- first_name: Elena Ioana
full_name: Braicu, Elena Ioana
last_name: Braicu
citation:
ama: 'Glajzer J, Castillo-Tong DC, Richter R, et al. ASO Visual Abstract: Impact
of BRCA mutation status on tumor dissemination pattern, surgical outcome, and
patient survival in primary and recurrent high-grade serous ovarian cancer (HGSOC).
A multicenter, retrospective study of the ovarian cancer therapy—innovative models
prolong survival (OCTIPS) consortium. Annals of Surgical Oncology. 2023;30:46-47.
doi:10.1245/s10434-022-12681-z'
apa: 'Glajzer, J., Castillo-Tong, D. C., Richter, R., Vergote, I., Kulbe, H., Vanderstichele,
A., … Braicu, E. I. (2023). ASO Visual Abstract: Impact of BRCA mutation status
on tumor dissemination pattern, surgical outcome, and patient survival in primary
and recurrent high-grade serous ovarian cancer (HGSOC). A multicenter, retrospective
study of the ovarian cancer therapy—innovative models prolong survival (OCTIPS)
consortium. Annals of Surgical Oncology. Springer Nature. https://doi.org/10.1245/s10434-022-12681-z'
chicago: 'Glajzer, Jacek, Dan Cacsire Castillo-Tong, Rolf Richter, Ignace Vergote,
Hagen Kulbe, Adriaan Vanderstichele, Ilary Ruscito, et al. “ASO Visual Abstract:
Impact of BRCA Mutation Status on Tumor Dissemination Pattern, Surgical Outcome,
and Patient Survival in Primary and Recurrent High-Grade Serous Ovarian Cancer
(HGSOC). A Multicenter, Retrospective Study of the Ovarian Cancer Therapy—Innovative
Models Prolong Survival (OCTIPS) Consortium.” Annals of Surgical Oncology.
Springer Nature, 2023. https://doi.org/10.1245/s10434-022-12681-z.'
ieee: 'J. Glajzer et al., “ASO Visual Abstract: Impact of BRCA mutation status
on tumor dissemination pattern, surgical outcome, and patient survival in primary
and recurrent high-grade serous ovarian cancer (HGSOC). A multicenter, retrospective
study of the ovarian cancer therapy—innovative models prolong survival (OCTIPS)
consortium,” Annals of Surgical Oncology, vol. 30. Springer Nature, pp.
46–47, 2023.'
ista: 'Glajzer J, Castillo-Tong DC, Richter R, Vergote I, Kulbe H, Vanderstichele
A, Ruscito I, Trillsch F, Mustea A, Kreuzinger C, Gourley C, Gabra H, Taube ET,
Dorigo O, Horst D, Keunecke C, Baum J, Angelotti T, Sehouli J, Braicu EI. 2023.
ASO Visual Abstract: Impact of BRCA mutation status on tumor dissemination pattern,
surgical outcome, and patient survival in primary and recurrent high-grade serous
ovarian cancer (HGSOC). A multicenter, retrospective study of the ovarian cancer
therapy—innovative models prolong survival (OCTIPS) consortium. Annals of Surgical
Oncology. 30, 46–47.'
mla: 'Glajzer, Jacek, et al. “ASO Visual Abstract: Impact of BRCA Mutation Status
on Tumor Dissemination Pattern, Surgical Outcome, and Patient Survival in Primary
and Recurrent High-Grade Serous Ovarian Cancer (HGSOC). A Multicenter, Retrospective
Study of the Ovarian Cancer Therapy—Innovative Models Prolong Survival (OCTIPS)
Consortium.” Annals of Surgical Oncology, vol. 30, Springer Nature, 2023,
pp. 46–47, doi:10.1245/s10434-022-12681-z.'
short: J. Glajzer, D.C. Castillo-Tong, R. Richter, I. Vergote, H. Kulbe, A. Vanderstichele,
I. Ruscito, F. Trillsch, A. Mustea, C. Kreuzinger, C. Gourley, H. Gabra, E.T.
Taube, O. Dorigo, D. Horst, C. Keunecke, J. Baum, T. Angelotti, J. Sehouli, E.I.
Braicu, Annals of Surgical Oncology 30 (2023) 46–47.
date_created: 2023-01-12T11:56:22Z
date_published: 2023-01-01T00:00:00Z
date_updated: 2023-09-05T15:18:36Z
day: '01'
department:
- _id: JoDa
doi: 10.1245/s10434-022-12681-z
external_id:
isi:
- '000879151800001'
intvolume: ' 30'
isi: 1
keyword:
- Oncology
- Surgery
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1245/s10434-022-12681-z
month: '01'
oa: 1
oa_version: Published Version
page: 46-47
publication: Annals of Surgical Oncology
publication_identifier:
eissn:
- 1534-4681
issn:
- 1068-9265
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
record:
- id: '12205'
relation: other
status: public
scopus_import: '1'
status: public
title: 'ASO Visual Abstract: Impact of BRCA mutation status on tumor dissemination
pattern, surgical outcome, and patient survival in primary and recurrent high-grade
serous ovarian cancer (HGSOC). A multicenter, retrospective study of the ovarian
cancer therapy—innovative models prolong survival (OCTIPS) consortium'
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 30
year: '2023'
...
---
_id: '14253'
abstract:
- lang: eng
text: Junctions between the endoplasmic reticulum (ER) and the plasma membrane (PM)
are specialized membrane contacts ubiquitous in eukaryotic cells. Concentration
of intracellular signaling machinery near ER-PM junctions allows these domains
to serve critical roles in lipid and Ca2+ signaling and homeostasis. Subcellular
compartmentalization of protein kinase A (PKA) signaling also regulates essential
cellular functions, however, no specific association between PKA and ER-PM junctional
domains is known. Here, we show that in brain neurons type I PKA is directed to
Kv2.1 channel-dependent ER-PM junctional domains via SPHKAP, a type I PKA-specific
anchoring protein. SPHKAP association with type I PKA regulatory subunit RI and
ER-resident VAP proteins results in the concentration of type I PKA between stacked
ER cisternae associated with ER-PM junctions. This ER-associated PKA signalosome
enables reciprocal regulation between PKA and Ca2+ signaling machinery to support
Ca2+ influx and excitation-transcription coupling. These data reveal that neuronal
ER-PM junctions support a receptor-independent form of PKA signaling driven by
membrane depolarization and intracellular Ca2+, allowing conversion of information
encoded in electrical signals into biochemical changes universally recognized
throughout the cell.
acknowledgement: We thank Kayla Templeton and Peter Turcanu for technical assistance,
Michelle Salemi for assistance with LC-MS data acquisition and analysis, Dr. Belvin
Gong for advice on monoclonal antibody generation, Drs. Maria Casas Prat and Eamonn
Dickson for assistance with super-resolution TIRF microscopy, Dr. Oscar Cerda for
assistance with the design of TAT-FFAT peptides, Dr. Fernando Santana for helpful
discussions, and Dr. Jodi Nunnari for a careful reading of our manuscript. We also
thank Dr. Alan Howe, Dr. Sohum Mehta, and Dr. Jin Zhang for providing plasmids used
in this study. This project was funded by NIH Grants R01NS114210 and R21NS101648
(J.S.T.), and F32NS108519 (N.C.V.).
article_number: '5231'
article_processing_charge: Yes
article_type: original
author:
- first_name: Nicholas C.
full_name: Vierra, Nicholas C.
last_name: Vierra
- first_name: Luisa
full_name: Ribeiro-Silva, Luisa
last_name: Ribeiro-Silva
- first_name: Michael
full_name: Kirmiz, Michael
last_name: Kirmiz
- first_name: Deborah
full_name: Van Der List, Deborah
last_name: Van Der List
- first_name: Pradeep
full_name: Bhandari, Pradeep
id: 45EDD1BC-F248-11E8-B48F-1D18A9856A87
last_name: Bhandari
orcid: 0000-0003-0863-4481
- first_name: Olivia A.
full_name: Mack, Olivia A.
last_name: Mack
- first_name: James
full_name: Carroll, James
last_name: Carroll
- first_name: Elodie
full_name: Le Monnier, Elodie
id: 3B59276A-F248-11E8-B48F-1D18A9856A87
last_name: Le Monnier
- first_name: Sue A.
full_name: Aicher, Sue A.
last_name: Aicher
- first_name: Ryuichi
full_name: Shigemoto, Ryuichi
id: 499F3ABC-F248-11E8-B48F-1D18A9856A87
last_name: Shigemoto
orcid: 0000-0001-8761-9444
- first_name: James S.
full_name: Trimmer, James S.
last_name: Trimmer
citation:
ama: Vierra NC, Ribeiro-Silva L, Kirmiz M, et al. Neuronal ER-plasma membrane junctions
couple excitation to Ca2+-activated PKA signaling. Nature Communications.
2023;14. doi:10.1038/s41467-023-40930-6
apa: Vierra, N. C., Ribeiro-Silva, L., Kirmiz, M., Van Der List, D., Bhandari, P.,
Mack, O. A., … Trimmer, J. S. (2023). Neuronal ER-plasma membrane junctions couple
excitation to Ca2+-activated PKA signaling. Nature Communications. Springer
Nature. https://doi.org/10.1038/s41467-023-40930-6
chicago: Vierra, Nicholas C., Luisa Ribeiro-Silva, Michael Kirmiz, Deborah Van Der
List, Pradeep Bhandari, Olivia A. Mack, James Carroll, et al. “Neuronal ER-Plasma
Membrane Junctions Couple Excitation to Ca2+-Activated PKA Signaling.” Nature
Communications. Springer Nature, 2023. https://doi.org/10.1038/s41467-023-40930-6.
ieee: N. C. Vierra et al., “Neuronal ER-plasma membrane junctions couple
excitation to Ca2+-activated PKA signaling,” Nature Communications, vol.
14. Springer Nature, 2023.
ista: Vierra NC, Ribeiro-Silva L, Kirmiz M, Van Der List D, Bhandari P, Mack OA,
Carroll J, Le Monnier E, Aicher SA, Shigemoto R, Trimmer JS. 2023. Neuronal ER-plasma
membrane junctions couple excitation to Ca2+-activated PKA signaling. Nature Communications.
14, 5231.
mla: Vierra, Nicholas C., et al. “Neuronal ER-Plasma Membrane Junctions Couple Excitation
to Ca2+-Activated PKA Signaling.” Nature Communications, vol. 14, 5231,
Springer Nature, 2023, doi:10.1038/s41467-023-40930-6.
short: N.C. Vierra, L. Ribeiro-Silva, M. Kirmiz, D. Van Der List, P. Bhandari, O.A.
Mack, J. Carroll, E. Le Monnier, S.A. Aicher, R. Shigemoto, J.S. Trimmer, Nature
Communications 14 (2023).
date_created: 2023-09-03T22:01:14Z
date_published: 2023-08-26T00:00:00Z
date_updated: 2023-09-06T06:53:32Z
day: '26'
ddc:
- '570'
department:
- _id: RySh
doi: 10.1038/s41467-023-40930-6
external_id:
pmid:
- '37633939'
file:
- access_level: open_access
checksum: 6ab8aab4e957f626a09a1c73db3388fb
content_type: application/pdf
creator: dernst
date_created: 2023-09-06T06:50:07Z
date_updated: 2023-09-06T06:50:07Z
file_id: '14270'
file_name: 2023_NatureComm_Vierra.pdf
file_size: 9412549
relation: main_file
success: 1
file_date_updated: 2023-09-06T06:50:07Z
has_accepted_license: '1'
intvolume: ' 14'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
pmid: 1
publication: Nature Communications
publication_identifier:
eissn:
- 2041-1723
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Neuronal ER-plasma membrane junctions couple excitation to Ca2+-activated PKA
signaling
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 14
year: '2023'
...
---
_id: '14259'
abstract:
- lang: eng
text: "We provide a learning-based technique for guessing a winning strategy in
a parity game originating from an LTL synthesis problem. A cheaply obtained guess
can be useful in several applications. Not only can the guessed strategy be applied
as best-effort in cases where the game’s huge size prohibits rigorous approaches,
but it can also increase the scalability of rigorous LTL synthesis in several
ways. Firstly, checking whether a guessed strategy is winning is easier than constructing
one. Secondly, even if the guess is wrong in some places, it can be fixed by strategy
iteration faster than constructing one from scratch. Thirdly, the guess can be
used in on-the-fly approaches to prioritize exploration in the most fruitful directions.\r\nIn
contrast to previous works, we (i) reflect the highly structured logical information
in game’s states, the so-called semantic labelling, coming from the recent LTL-to-automata
translations, and (ii) learn to reflect it properly by learning from previously
solved games, bringing the solving process closer to human-like reasoning."
acknowledgement: This research was funded in part by the German Research Foundation
(DFG) project 427755713 Group-By Objectives in Probabilistic Verification (GOPro).
alternative_title:
- LNCS
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Jan
full_name: Kretinsky, Jan
id: 44CEF464-F248-11E8-B48F-1D18A9856A87
last_name: Kretinsky
orcid: 0000-0002-8122-2881
- first_name: Tobias
full_name: Meggendorfer, Tobias
id: b21b0c15-30a2-11eb-80dc-f13ca25802e1
last_name: Meggendorfer
orcid: 0000-0002-1712-2165
- first_name: Maximilian
full_name: Prokop, Maximilian
last_name: Prokop
- first_name: Sabine
full_name: Rieder, Sabine
last_name: Rieder
citation:
ama: 'Kretinsky J, Meggendorfer T, Prokop M, Rieder S. Guessing winning policies
in LTL synthesis by semantic learning. In: 35th International Conference on
Computer Aided Verification . Vol 13964. Springer Nature; 2023:390-414. doi:10.1007/978-3-031-37706-8_20'
apa: 'Kretinsky, J., Meggendorfer, T., Prokop, M., & Rieder, S. (2023). Guessing
winning policies in LTL synthesis by semantic learning. In 35th International
Conference on Computer Aided Verification (Vol. 13964, pp. 390–414). Paris,
France: Springer Nature. https://doi.org/10.1007/978-3-031-37706-8_20'
chicago: Kretinsky, Jan, Tobias Meggendorfer, Maximilian Prokop, and Sabine Rieder.
“Guessing Winning Policies in LTL Synthesis by Semantic Learning.” In 35th
International Conference on Computer Aided Verification , 13964:390–414. Springer
Nature, 2023. https://doi.org/10.1007/978-3-031-37706-8_20.
ieee: J. Kretinsky, T. Meggendorfer, M. Prokop, and S. Rieder, “Guessing winning
policies in LTL synthesis by semantic learning,” in 35th International Conference
on Computer Aided Verification , Paris, France, 2023, vol. 13964, pp. 390–414.
ista: 'Kretinsky J, Meggendorfer T, Prokop M, Rieder S. 2023. Guessing winning policies
in LTL synthesis by semantic learning. 35th International Conference on Computer
Aided Verification . CAV: Computer Aided Verification, LNCS, vol. 13964, 390–414.'
mla: Kretinsky, Jan, et al. “Guessing Winning Policies in LTL Synthesis by Semantic
Learning.” 35th International Conference on Computer Aided Verification ,
vol. 13964, Springer Nature, 2023, pp. 390–414, doi:10.1007/978-3-031-37706-8_20.
short: J. Kretinsky, T. Meggendorfer, M. Prokop, S. Rieder, in:, 35th International
Conference on Computer Aided Verification , Springer Nature, 2023, pp. 390–414.
conference:
end_date: 2023-07-22
location: Paris, France
name: 'CAV: Computer Aided Verification'
start_date: 2023-07-17
date_created: 2023-09-03T22:01:16Z
date_published: 2023-07-17T00:00:00Z
date_updated: 2023-09-06T08:27:33Z
day: '17'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1007/978-3-031-37706-8_20
file:
- access_level: open_access
checksum: ed66278b61bb869e1baba3d9b9081271
content_type: application/pdf
creator: dernst
date_created: 2023-09-06T08:25:50Z
date_updated: 2023-09-06T08:25:50Z
file_id: '14276'
file_name: 2023_LNCS_CAV_Kretinsky.pdf
file_size: 428354
relation: main_file
success: 1
file_date_updated: 2023-09-06T08:25:50Z
has_accepted_license: '1'
intvolume: ' 13964'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: 390-414
publication: '35th International Conference on Computer Aided Verification '
publication_identifier:
eissn:
- 1611-3349
isbn:
- '9783031377051'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Guessing winning policies in LTL synthesis by semantic learning
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13964
year: '2023'
...
---
_id: '14105'
abstract:
- lang: eng
text: "Despite their recent success, deep neural networks continue to perform poorly
when they encounter distribution shifts at test time. Many recently proposed approaches
try to counter this by aligning the model to the new distribution prior to inference.
With no labels available this requires unsupervised objectives to adapt the model
on the observed test data. In this paper, we propose Test-Time SelfTraining (TeST):
a technique that takes as input a model trained on some source data and a novel
data distribution at test time, and learns invariant and robust representations
using a student-teacher framework. We find that models adapted using TeST significantly
improve over baseline testtime adaptation algorithms. TeST achieves competitive
performance to modern domain adaptation algorithms [4, 43], while having access
to 5-10x less data at time of adaption. We thoroughly evaluate a variety of baselines
on two tasks:\r\nobject detection and image segmentation and find that models
adapted with TeST. We find that TeST sets the new stateof-the art for test-time
domain adaptation algorithms. "
article_processing_charge: No
author:
- first_name: Samarth
full_name: Sinha, Samarth
last_name: Sinha
- first_name: Peter
full_name: Gehler, Peter
last_name: Gehler
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
- first_name: Bernt
full_name: Schiele, Bernt
last_name: Schiele
citation:
ama: 'Sinha S, Gehler P, Locatello F, Schiele B. TeST: Test-time Self-Training under
distribution shift. In: 2023 IEEE/CVF Winter Conference on Applications of
Computer Vision. Institute of Electrical and Electronics Engineers; 2023.
doi:10.1109/wacv56688.2023.00278'
apa: 'Sinha, S., Gehler, P., Locatello, F., & Schiele, B. (2023). TeST: Test-time
Self-Training under distribution shift. In 2023 IEEE/CVF Winter Conference
on Applications of Computer Vision. Waikoloa, HI, United States: Institute
of Electrical and Electronics Engineers. https://doi.org/10.1109/wacv56688.2023.00278'
chicago: 'Sinha, Samarth, Peter Gehler, Francesco Locatello, and Bernt Schiele.
“TeST: Test-Time Self-Training under Distribution Shift.” In 2023 IEEE/CVF
Winter Conference on Applications of Computer Vision. Institute of Electrical
and Electronics Engineers, 2023. https://doi.org/10.1109/wacv56688.2023.00278.'
ieee: 'S. Sinha, P. Gehler, F. Locatello, and B. Schiele, “TeST: Test-time Self-Training
under distribution shift,” in 2023 IEEE/CVF Winter Conference on Applications
of Computer Vision, Waikoloa, HI, United States, 2023.'
ista: 'Sinha S, Gehler P, Locatello F, Schiele B. 2023. TeST: Test-time Self-Training
under distribution shift. 2023 IEEE/CVF Winter Conference on Applications of Computer
Vision. WACV: Winter Conference on Applications of Computer Vision.'
mla: 'Sinha, Samarth, et al. “TeST: Test-Time Self-Training under Distribution Shift.”
2023 IEEE/CVF Winter Conference on Applications of Computer Vision, Institute
of Electrical and Electronics Engineers, 2023, doi:10.1109/wacv56688.2023.00278.'
short: S. Sinha, P. Gehler, F. Locatello, B. Schiele, in:, 2023 IEEE/CVF Winter
Conference on Applications of Computer Vision, Institute of Electrical and Electronics
Engineers, 2023.
conference:
end_date: 2023-01-07
location: Waikoloa, HI, United States
name: 'WACV: Winter Conference on Applications of Computer Vision'
start_date: 2023-01-02
date_created: 2023-08-21T12:11:38Z
date_published: 2023-02-06T00:00:00Z
date_updated: 2023-09-06T10:26:56Z
day: '06'
department:
- _id: FrLo
doi: 10.1109/wacv56688.2023.00278
extern: '1'
external_id:
arxiv:
- '2209.11459'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2209.11459
month: '02'
oa: 1
oa_version: Preprint
publication: 2023 IEEE/CVF Winter Conference on Applications of Computer Vision
publication_identifier:
eissn:
- 2642-9381
isbn:
- '9781665493475'
publication_status: published
publisher: Institute of Electrical and Electronics Engineers
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'TeST: Test-time Self-Training under distribution shift'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14256'
abstract:
- lang: eng
text: "Context. Space asteroseismology is revolutionizing our knowledge of the internal
structure and dynamics of stars. A breakthrough is ongoing with the recent discoveries
of signatures of strong magnetic fields in the core of red giant stars. The key
signature for such a detection is the asymmetry these fields induce in the frequency
splittings of observed dipolar mixed gravito-acoustic modes.\r\nAims. We investigate
the ability of the observed asymmetries of the frequency splittings of dipolar
mixed modes to constrain the geometrical properties of deep magnetic fields.\r\nMethods.
We used the powerful analytical Racah-Wigner algebra used in quantum mechanics
to characterize the geometrical couplings of dipolar mixed oscillation modes with
various realistically plausible topologies of fossil magnetic fields. We also
computed the induced perturbation of their frequencies.\r\nResults. First, in
the case of an oblique magnetic dipole, we provide the exact analytical expression
of the asymmetry as a function of the angle between the rotation and magnetic
axes. Its value provides a direct measure of this angle. Second, considering a
combination of axisymmetric dipolar and quadrupolar fields, we show how the asymmetry
is blind to the unraveling of the relative strength and sign of each component.
Finally, in the case of a given multipole, we show that a negative asymmetry is
a signature of non-axisymmetric topologies.\r\nConclusions. Asymmetries of dipolar
mixed modes provide a key bit of information on the geometrical topology of deep
fossil magnetic fields, but this is insufficient on its own. Asteroseismic constraints
should therefore be combined with spectropolarimetric observations and numerical
simulations, which aim to predict the more probable stable large-scale geometries."
acknowledgement: The authors are grateful to the referee for her/his detailed and
constructive report, which has allowed us to improve our article. S. M. acknowledges
support from the CNES GOLF-SOHO and PLATO grants at CEA/DAp and PNPS (CNRS/INSU).
We thank R. A. Garcia for fruitful discussions and suggestions.
article_number: L9
article_processing_charge: Yes (in subscription journal)
article_type: letter_note
author:
- first_name: S.
full_name: Mathis, S.
last_name: Mathis
- first_name: Lisa Annabelle
full_name: Bugnet, Lisa Annabelle
id: d9edb345-f866-11ec-9b37-d119b5234501
last_name: Bugnet
orcid: 0000-0003-0142-4000
citation:
ama: 'Mathis S, Bugnet LA. Asymmetries of frequency splittings of dipolar mixed
modes: A window on the topology of deep magnetic fields. Astronomy and Astrophysics.
2023;676. doi:10.1051/0004-6361/202346832'
apa: 'Mathis, S., & Bugnet, L. A. (2023). Asymmetries of frequency splittings
of dipolar mixed modes: A window on the topology of deep magnetic fields. Astronomy
and Astrophysics. EDP Sciences. https://doi.org/10.1051/0004-6361/202346832'
chicago: 'Mathis, S., and Lisa Annabelle Bugnet. “Asymmetries of Frequency Splittings
of Dipolar Mixed Modes: A Window on the Topology of Deep Magnetic Fields.” Astronomy
and Astrophysics. EDP Sciences, 2023. https://doi.org/10.1051/0004-6361/202346832.'
ieee: 'S. Mathis and L. A. Bugnet, “Asymmetries of frequency splittings of dipolar
mixed modes: A window on the topology of deep magnetic fields,” Astronomy and
Astrophysics, vol. 676. EDP Sciences, 2023.'
ista: 'Mathis S, Bugnet LA. 2023. Asymmetries of frequency splittings of dipolar
mixed modes: A window on the topology of deep magnetic fields. Astronomy and Astrophysics.
676, L9.'
mla: 'Mathis, S., and Lisa Annabelle Bugnet. “Asymmetries of Frequency Splittings
of Dipolar Mixed Modes: A Window on the Topology of Deep Magnetic Fields.” Astronomy
and Astrophysics, vol. 676, L9, EDP Sciences, 2023, doi:10.1051/0004-6361/202346832.'
short: S. Mathis, L.A. Bugnet, Astronomy and Astrophysics 676 (2023).
date_created: 2023-09-03T22:01:15Z
date_published: 2023-08-01T00:00:00Z
date_updated: 2023-09-06T11:05:58Z
day: '01'
ddc:
- '520'
department:
- _id: LiBu
doi: 10.1051/0004-6361/202346832
external_id:
arxiv:
- '2306.11587'
isi:
- '001046037700007'
file:
- access_level: open_access
checksum: 7b30d26fb2b7bcb5b5be1414950615f9
content_type: application/pdf
creator: dernst
date_created: 2023-09-06T07:13:19Z
date_updated: 2023-09-06T07:13:19Z
file_id: '14271'
file_name: 2023_AstronomyAstrophysics_Mathis.pdf
file_size: 458120
relation: main_file
success: 1
file_date_updated: 2023-09-06T07:13:19Z
has_accepted_license: '1'
intvolume: ' 676'
isi: 1
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
publication: Astronomy and Astrophysics
publication_identifier:
eissn:
- 1432-0746
issn:
- 0004-6361
publication_status: published
publisher: EDP Sciences
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Asymmetries of frequency splittings of dipolar mixed modes: A window on the
topology of deep magnetic fields'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 676
year: '2023'
...
---
_id: '14261'
abstract:
- lang: eng
text: In this work, a generalized, adapted Numerov implementation capable of determining
band structures of periodic quantum systems is outlined. Based on the input potential,
the presented approach numerically solves the Schrödinger equation in position
space at each momentum space point. Thus, in addition to the band structure, the
method inherently provides information about the state functions and probability
densities in position space at each momentum space point considered. The generalized,
adapted Numerov framework provided reliable estimates for a variety of increasingly
complex test suites in one, two, and three dimensions. The accuracy of the proposed
methodology was benchmarked against results obtained for the analytically solvable
Kronig-Penney model. Furthermore, the presented numerical solver was applied to
a model potential representing a 2D optical lattice being a challenging application
relevant, for example, in the field of quantum computing.
acknowledgement: Financial supports for this work via a PhD scholarship for J. Gamper
issued by the Leopold-Franzens-University of Innsbruck (Vicerector Prof. Dr Ulrike
Tanzer) are gratefully acknowledged. The computational results presented have been
achieved (in part) using the HPC infrastructure of the University of Innsbruck.
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Jakob
full_name: Gamper, Jakob
last_name: Gamper
- first_name: Florian
full_name: Kluibenschedl, Florian
id: 7499e70e-eb2c-11ec-b98b-f925648bc9d9
last_name: Kluibenschedl
- first_name: Alexander K.H.
full_name: Weiss, Alexander K.H.
last_name: Weiss
- first_name: Thomas S.
full_name: Hofer, Thomas S.
last_name: Hofer
citation:
ama: Gamper J, Kluibenschedl F, Weiss AKH, Hofer TS. Accessing position space wave
functions in band structure calculations of periodic systems - a generalized,
adapted numerov implementation for one-, two-, and three-dimensional quantum problems.
Journal of Physical Chemistry Letters. 2023;14(33):7395-7403. doi:10.1021/acs.jpclett.3c01707
apa: Gamper, J., Kluibenschedl, F., Weiss, A. K. H., & Hofer, T. S. (2023).
Accessing position space wave functions in band structure calculations of periodic
systems - a generalized, adapted numerov implementation for one-, two-, and three-dimensional
quantum problems. Journal of Physical Chemistry Letters. American Chemical
Society. https://doi.org/10.1021/acs.jpclett.3c01707
chicago: Gamper, Jakob, Florian Kluibenschedl, Alexander K.H. Weiss, and Thomas
S. Hofer. “Accessing Position Space Wave Functions in Band Structure Calculations
of Periodic Systems - a Generalized, Adapted Numerov Implementation for One-,
Two-, and Three-Dimensional Quantum Problems.” Journal of Physical Chemistry
Letters. American Chemical Society, 2023. https://doi.org/10.1021/acs.jpclett.3c01707.
ieee: J. Gamper, F. Kluibenschedl, A. K. H. Weiss, and T. S. Hofer, “Accessing position
space wave functions in band structure calculations of periodic systems - a generalized,
adapted numerov implementation for one-, two-, and three-dimensional quantum problems,”
Journal of Physical Chemistry Letters, vol. 14, no. 33. American Chemical
Society, pp. 7395–7403, 2023.
ista: Gamper J, Kluibenschedl F, Weiss AKH, Hofer TS. 2023. Accessing position space
wave functions in band structure calculations of periodic systems - a generalized,
adapted numerov implementation for one-, two-, and three-dimensional quantum problems.
Journal of Physical Chemistry Letters. 14(33), 7395–7403.
mla: Gamper, Jakob, et al. “Accessing Position Space Wave Functions in Band Structure
Calculations of Periodic Systems - a Generalized, Adapted Numerov Implementation
for One-, Two-, and Three-Dimensional Quantum Problems.” Journal of Physical
Chemistry Letters, vol. 14, no. 33, American Chemical Society, 2023, pp. 7395–403,
doi:10.1021/acs.jpclett.3c01707.
short: J. Gamper, F. Kluibenschedl, A.K.H. Weiss, T.S. Hofer, Journal of Physical
Chemistry Letters 14 (2023) 7395–7403.
date_created: 2023-09-03T22:01:16Z
date_published: 2023-08-11T00:00:00Z
date_updated: 2023-09-06T11:04:31Z
day: '11'
ddc:
- '530'
- '540'
department:
- _id: GradSch
doi: 10.1021/acs.jpclett.3c01707
external_id:
isi:
- '001048165800001'
pmid:
- '37566743'
file:
- access_level: open_access
checksum: 637454e2b3a357498d8d622d241c4bf6
content_type: application/pdf
creator: dernst
date_created: 2023-09-06T07:32:39Z
date_updated: 2023-09-06T07:32:39Z
file_id: '14272'
file_name: 2023_JourPhysChemistry_Gamper.pdf
file_size: 4986859
relation: main_file
success: 1
file_date_updated: 2023-09-06T07:32:39Z
has_accepted_license: '1'
intvolume: ' 14'
isi: 1
issue: '33'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
page: 7395-7403
pmid: 1
publication: Journal of Physical Chemistry Letters
publication_identifier:
eissn:
- 1948-7185
publication_status: published
publisher: American Chemical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Accessing position space wave functions in band structure calculations of periodic
systems - a generalized, adapted numerov implementation for one-, two-, and three-dimensional
quantum problems
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 14
year: '2023'
...
---
_id: '14208'
abstract:
- lang: eng
text: This paper focuses on over-parameterized deep neural networks (DNNs) with
ReLU activation functions and proves that when the data distribution is well-separated,
DNNs can achieve Bayes-optimal test error for classification while obtaining (nearly)
zero-training error under the lazy training regime. For this purpose, we unify
three interrelated concepts of overparameterization, benign overfitting, and the
Lipschitz constant of DNNs. Our results indicate that interpolating with smoother
functions leads to better generalization. Furthermore, we investigate the special
case where interpolating smooth ground-truth functions is performed by DNNs under
the Neural Tangent Kernel (NTK) regime for generalization. Our result demonstrates
that the generalization error converges to a constant order that only depends
on label noise and initialization noise, which theoretically verifies benign overfitting.
Our analysis provides a tight lower bound on the normalized margin under non-smooth
activation functions, as well as the minimum eigenvalue of NTK under high-dimensional
settings, which has its own interest in learning theory.
alternative_title:
- PMLR
article_processing_charge: No
author:
- first_name: Zhenyu
full_name: Zhu, Zhenyu
last_name: Zhu
- first_name: Fanghui
full_name: Liu, Fanghui
last_name: Liu
- first_name: Grigorios G
full_name: Chrysos, Grigorios G
last_name: Chrysos
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
- first_name: Volkan
full_name: Cevher, Volkan
last_name: Cevher
citation:
ama: 'Zhu Z, Liu F, Chrysos GG, Locatello F, Cevher V. Benign overfitting in deep
neural networks under lazy training. In: Proceedings of the 40th International
Conference on Machine Learning. Vol 202. ML Research Press; 2023:43105-43128.'
apa: 'Zhu, Z., Liu, F., Chrysos, G. G., Locatello, F., & Cevher, V. (2023).
Benign overfitting in deep neural networks under lazy training. In Proceedings
of the 40th International Conference on Machine Learning (Vol. 202, pp. 43105–43128).
Honolulu, Hawaii, United States: ML Research Press.'
chicago: Zhu, Zhenyu, Fanghui Liu, Grigorios G Chrysos, Francesco Locatello, and
Volkan Cevher. “Benign Overfitting in Deep Neural Networks under Lazy Training.”
In Proceedings of the 40th International Conference on Machine Learning,
202:43105–28. ML Research Press, 2023.
ieee: Z. Zhu, F. Liu, G. G. Chrysos, F. Locatello, and V. Cevher, “Benign overfitting
in deep neural networks under lazy training,” in Proceedings of the 40th International
Conference on Machine Learning, Honolulu, Hawaii, United States, 2023, vol.
202, pp. 43105–43128.
ista: Zhu Z, Liu F, Chrysos GG, Locatello F, Cevher V. 2023. Benign overfitting
in deep neural networks under lazy training. Proceedings of the 40th International
Conference on Machine Learning. International Conference on Machine Learning,
PMLR, vol. 202, 43105–43128.
mla: Zhu, Zhenyu, et al. “Benign Overfitting in Deep Neural Networks under Lazy
Training.” Proceedings of the 40th International Conference on Machine Learning,
vol. 202, ML Research Press, 2023, pp. 43105–28.
short: Z. Zhu, F. Liu, G.G. Chrysos, F. Locatello, V. Cevher, in:, Proceedings of
the 40th International Conference on Machine Learning, ML Research Press, 2023,
pp. 43105–43128.
conference:
end_date: 2023-07-29
location: Honolulu, Hawaii, United States
name: International Conference on Machine Learning
start_date: 2023-07-23
date_created: 2023-08-22T14:18:18Z
date_published: 2023-05-30T00:00:00Z
date_updated: 2023-09-13T08:46:46Z
day: '30'
department:
- _id: FrLo
extern: '1'
external_id:
arxiv:
- '2305.19377'
intvolume: ' 202'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2305.19377
month: '05'
oa: 1
oa_version: Preprint
page: 43105-43128
publication: Proceedings of the 40th International Conference on Machine Learning
publication_status: published
publisher: ML Research Press
quality_controlled: '1'
status: public
title: Benign overfitting in deep neural networks under lazy training
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 202
year: '2023'
...
---
_id: '14209'
abstract:
- lang: eng
text: Diffusion models excel at generating photorealistic images from text-queries.
Naturally, many approaches have been proposed to use these generative abilities
to augment training datasets for downstream tasks, such as classification. However,
diffusion models are themselves trained on large noisily supervised, but nonetheless,
annotated datasets. It is an open question whether the generalization capabilities
of diffusion models beyond using the additional data of the pre-training process
for augmentation lead to improved downstream performance. We perform a systematic
evaluation of existing methods to generate images from diffusion models and study
new extensions to assess their benefit for data augmentation. While we find that
personalizing diffusion models towards the target data outperforms simpler prompting
strategies, we also show that using the training data of the diffusion model alone,
via a simple nearest neighbor retrieval procedure, leads to even stronger downstream
performance. Overall, our study probes the limitations of diffusion models for
data augmentation but also highlights its potential in generating new training
data to improve performance on simple downstream vision tasks.
article_number: '2304.10253'
article_processing_charge: No
author:
- first_name: Max F.
full_name: Burg, Max F.
last_name: Burg
- first_name: Florian
full_name: Wenzel, Florian
last_name: Wenzel
- first_name: Dominik
full_name: Zietlow, Dominik
last_name: Zietlow
- first_name: Max
full_name: Horn, Max
last_name: Horn
- first_name: Osama
full_name: Makansi, Osama
last_name: Makansi
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
- first_name: Chris
full_name: Russell, Chris
last_name: Russell
citation:
ama: Burg MF, Wenzel F, Zietlow D, et al. A data augmentation perspective on diffusion
models and retrieval. arXiv. doi:10.48550/arXiv.2304.10253
apa: Burg, M. F., Wenzel, F., Zietlow, D., Horn, M., Makansi, O., Locatello, F.,
& Russell, C. (n.d.). A data augmentation perspective on diffusion models
and retrieval. arXiv. https://doi.org/10.48550/arXiv.2304.10253
chicago: Burg, Max F., Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi,
Francesco Locatello, and Chris Russell. “A Data Augmentation Perspective on Diffusion
Models and Retrieval.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2304.10253.
ieee: M. F. Burg et al., “A data augmentation perspective on diffusion models
and retrieval,” arXiv. .
ista: Burg MF, Wenzel F, Zietlow D, Horn M, Makansi O, Locatello F, Russell C. A
data augmentation perspective on diffusion models and retrieval. arXiv, 2304.10253.
mla: Burg, Max F., et al. “A Data Augmentation Perspective on Diffusion Models and
Retrieval.” ArXiv, 2304.10253, doi:10.48550/arXiv.2304.10253.
short: M.F. Burg, F. Wenzel, D. Zietlow, M. Horn, O. Makansi, F. Locatello, C. Russell,
ArXiv (n.d.).
date_created: 2023-08-22T14:18:43Z
date_published: 2023-04-20T00:00:00Z
date_updated: 2023-09-13T08:51:56Z
day: '20'
department:
- _id: FrLo
doi: 10.48550/arXiv.2304.10253
extern: '1'
external_id:
arxiv:
- '2304.10253'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2304.10253
month: '04'
oa: 1
oa_version: Preprint
publication: arXiv
publication_status: submitted
status: public
title: A data augmentation perspective on diffusion models and retrieval
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14211'
abstract:
- lang: eng
text: 'Causal discovery methods are intrinsically constrained by the set of assumptions
needed to ensure structure identifiability. Moreover additional restrictions are
often imposed in order to simplify the inference task: this is the case for the
Gaussian noise assumption on additive non-linear models, which is common to many
causal discovery approaches. In this paper we show the shortcomings of inference
under this hypothesis, analyzing the risk of edge inversion under violation of
Gaussianity of the noise terms. Then, we propose a novel method for inferring
the topological ordering of the variables in the causal graph, from data generated
according to an additive non-linear model with a generic noise distribution. This
leads to NoGAM (Not only Gaussian Additive noise Models), a causal discovery algorithm
with a minimal set of assumptions and state of the art performance, experimentally
benchmarked on synthetic data.'
article_processing_charge: No
author:
- first_name: Francesco
full_name: Montagna, Francesco
last_name: Montagna
- first_name: Nicoletta
full_name: Noceti, Nicoletta
last_name: Noceti
- first_name: Lorenzo
full_name: Rosasco, Lorenzo
last_name: Rosasco
- first_name: Kun
full_name: Zhang, Kun
last_name: Zhang
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
citation:
ama: 'Montagna F, Noceti N, Rosasco L, Zhang K, Locatello F. Causal discovery with
score matching on additive models with arbitrary noise. In: 2nd Conference
on Causal Learning and Reasoning. ; 2023.'
apa: Montagna, F., Noceti, N., Rosasco, L., Zhang, K., & Locatello, F. (2023).
Causal discovery with score matching on additive models with arbitrary noise.
In 2nd Conference on Causal Learning and Reasoning. Tübingen, Germany.
chicago: Montagna, Francesco, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang, and
Francesco Locatello. “Causal Discovery with Score Matching on Additive Models
with Arbitrary Noise.” In 2nd Conference on Causal Learning and Reasoning,
2023.
ieee: F. Montagna, N. Noceti, L. Rosasco, K. Zhang, and F. Locatello, “Causal discovery
with score matching on additive models with arbitrary noise,” in 2nd Conference
on Causal Learning and Reasoning, Tübingen, Germany, 2023.
ista: 'Montagna F, Noceti N, Rosasco L, Zhang K, Locatello F. 2023. Causal discovery
with score matching on additive models with arbitrary noise. 2nd Conference on
Causal Learning and Reasoning. CLeaR: Conference on Causal Learning and Reasoning.'
mla: Montagna, Francesco, et al. “Causal Discovery with Score Matching on Additive
Models with Arbitrary Noise.” 2nd Conference on Causal Learning and Reasoning,
2023.
short: F. Montagna, N. Noceti, L. Rosasco, K. Zhang, F. Locatello, in:, 2nd Conference
on Causal Learning and Reasoning, 2023.
conference:
end_date: 2023-04-14
location: Tübingen, Germany
name: 'CLeaR: Conference on Causal Learning and Reasoning'
start_date: 2023-04-11
date_created: 2023-08-22T14:19:21Z
date_published: 2023-04-01T00:00:00Z
date_updated: 2023-09-13T09:00:31Z
day: '01'
department:
- _id: FrLo
extern: '1'
external_id:
arxiv:
- '2304.03265'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2304.03265
month: '04'
oa: 1
oa_version: Preprint
publication: 2nd Conference on Causal Learning and Reasoning
publication_status: published
quality_controlled: '1'
scopus_import: '1'
status: public
title: Causal discovery with score matching on additive models with arbitrary noise
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14212'
abstract:
- lang: eng
text: This paper demonstrates how to discover the whole causal graph from the second
derivative of the log-likelihood in observational non-linear additive Gaussian
noise models. Leveraging scalable machine learning approaches to approximate the
score function ∇logp(X), we extend the work of Rolland et al. (2022) that only
recovers the topological order from the score and requires an expensive pruning
step removing spurious edges among those admitted by the ordering. Our analysis
leads to DAS (acronym for Discovery At Scale), a practical algorithm that reduces
the complexity of the pruning by a factor proportional to the graph size. In practice,
DAS achieves competitive accuracy with current state-of-the-art while being over
an order of magnitude faster. Overall, our approach enables principled and scalable
causal discovery, significantly lowering the compute bar.
article_processing_charge: No
author:
- first_name: Francesco
full_name: Montagna, Francesco
last_name: Montagna
- first_name: Nicoletta
full_name: Noceti, Nicoletta
last_name: Noceti
- first_name: Lorenzo
full_name: Rosasco, Lorenzo
last_name: Rosasco
- first_name: Kun
full_name: Zhang, Kun
last_name: Zhang
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
citation:
ama: 'Montagna F, Noceti N, Rosasco L, Zhang K, Locatello F. Scalable causal discovery
with score matching. In: 2nd Conference on Causal Learning and Reasoning.
; 2023.'
apa: Montagna, F., Noceti, N., Rosasco, L., Zhang, K., & Locatello, F. (2023).
Scalable causal discovery with score matching. In 2nd Conference on Causal
Learning and Reasoning. Tübingen, Germany.
chicago: Montagna, Francesco, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang, and
Francesco Locatello. “Scalable Causal Discovery with Score Matching.” In 2nd
Conference on Causal Learning and Reasoning, 2023.
ieee: F. Montagna, N. Noceti, L. Rosasco, K. Zhang, and F. Locatello, “Scalable
causal discovery with score matching,” in 2nd Conference on Causal Learning
and Reasoning, Tübingen, Germany, 2023.
ista: 'Montagna F, Noceti N, Rosasco L, Zhang K, Locatello F. 2023. Scalable causal
discovery with score matching. 2nd Conference on Causal Learning and Reasoning.
CLeaR: Conference on Causal Learning and Reasoning.'
mla: Montagna, Francesco, et al. “Scalable Causal Discovery with Score Matching.”
2nd Conference on Causal Learning and Reasoning, 2023.
short: F. Montagna, N. Noceti, L. Rosasco, K. Zhang, F. Locatello, in:, 2nd Conference
on Causal Learning and Reasoning, 2023.
conference:
end_date: 2023-04-14
location: Tübingen, Germany
name: 'CLeaR: Conference on Causal Learning and Reasoning'
start_date: 2023-04-11
date_created: 2023-08-22T14:19:40Z
date_published: 2023-04-01T00:00:00Z
date_updated: 2023-09-13T09:03:24Z
day: '01'
department:
- _id: FrLo
extern: '1'
external_id:
arxiv:
- '2304.03382'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2304.03382
month: '04'
oa: 1
oa_version: Preprint
publication: 2nd Conference on Causal Learning and Reasoning
publication_status: published
quality_controlled: '1'
scopus_import: '1'
status: public
title: Scalable causal discovery with score matching
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14214'
abstract:
- lang: eng
text: 'Recent years have seen a surge of interest in learning high-level causal
representations from low-level image pairs under interventions. Yet, existing
efforts are largely limited to simple synthetic settings that are far away from
real-world problems. In this paper, we present Causal Triplet, a causal representation
learning benchmark featuring not only visually more complex scenes, but also two
crucial desiderata commonly overlooked in previous works: (i) an actionable counterfactual
setting, where only certain object-level variables allow for counterfactual observations
whereas others do not; (ii) an interventional downstream task with an emphasis
on out-of-distribution robustness from the independent causal mechanisms principle.
Through extensive experiments, we find that models built with the knowledge of
disentangled or object-centric representations significantly outperform their
distributed counterparts. However, recent causal representation learning methods
still struggle to identify such latent structures, indicating substantial challenges
and opportunities for future work.'
article_processing_charge: No
author:
- first_name: Yuejiang
full_name: Liu, Yuejiang
last_name: Liu
- first_name: Alexandre
full_name: Alahi, Alexandre
last_name: Alahi
- first_name: Chris
full_name: Russell, Chris
last_name: Russell
- first_name: Max
full_name: Horn, Max
last_name: Horn
- first_name: Dominik
full_name: Zietlow, Dominik
last_name: Zietlow
- first_name: Bernhard
full_name: Schölkopf, Bernhard
last_name: Schölkopf
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
citation:
ama: 'Liu Y, Alahi A, Russell C, et al. Causal triplet: An open challenge for intervention-centric
causal representation learning. In: 2nd Conference on Causal Learning and Reasoning.
; 2023.'
apa: 'Liu, Y., Alahi, A., Russell, C., Horn, M., Zietlow, D., Schölkopf, B., &
Locatello, F. (2023). Causal triplet: An open challenge for intervention-centric
causal representation learning. In 2nd Conference on Causal Learning and Reasoning.
Tübingen, Germany.'
chicago: 'Liu, Yuejiang, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow,
Bernhard Schölkopf, and Francesco Locatello. “Causal Triplet: An Open Challenge
for Intervention-Centric Causal Representation Learning.” In 2nd Conference
on Causal Learning and Reasoning, 2023.'
ieee: 'Y. Liu et al., “Causal triplet: An open challenge for intervention-centric
causal representation learning,” in 2nd Conference on Causal Learning and Reasoning,
Tübingen, Germany, 2023.'
ista: 'Liu Y, Alahi A, Russell C, Horn M, Zietlow D, Schölkopf B, Locatello F. 2023.
Causal triplet: An open challenge for intervention-centric causal representation
learning. 2nd Conference on Causal Learning and Reasoning. CLeaR: Conference on
Causal Learning and Reasoning.'
mla: 'Liu, Yuejiang, et al. “Causal Triplet: An Open Challenge for Intervention-Centric
Causal Representation Learning.” 2nd Conference on Causal Learning and Reasoning,
2023.'
short: Y. Liu, A. Alahi, C. Russell, M. Horn, D. Zietlow, B. Schölkopf, F. Locatello,
in:, 2nd Conference on Causal Learning and Reasoning, 2023.
conference:
end_date: 2023-04-14
location: Tübingen, Germany
name: 'CLeaR: Conference on Causal Learning and Reasoning'
start_date: 2023-04-11
date_created: 2023-08-22T14:20:18Z
date_published: 2023-04-12T00:00:00Z
date_updated: 2023-09-13T09:23:08Z
day: '12'
department:
- _id: FrLo
extern: '1'
external_id:
arxiv:
- '2301.05169'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2301.05169
month: '04'
oa: 1
oa_version: Preprint
publication: 2nd Conference on Causal Learning and Reasoning
publication_status: published
quality_controlled: '1'
status: public
title: 'Causal triplet: An open challenge for intervention-centric causal representation
learning'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14217'
abstract:
- lang: eng
text: 'Neural networks embed the geometric structure of a data manifold lying in
a high-dimensional space into latent representations. Ideally, the distribution
of the data points in the latent space should depend only on the task, the data,
the loss, and other architecture-specific constraints. However, factors such as
the random weights initialization, training hyperparameters, or other sources
of randomness in the training phase may induce incoherent latent spaces that hinder
any form of reuse. Nevertheless, we empirically observe that, under the same data
and modeling choices, the angles between the encodings within distinct latent
spaces do not change. In this work, we propose the latent similarity between each
sample and a fixed set of anchors as an alternative data representation, demonstrating
that it can enforce the desired invariances without any additional training. We
show how neural architectures can leverage these relative representations to guarantee,
in practice, invariance to latent isometries and rescalings, effectively enabling
latent space communication: from zero-shot model stitching to latent space comparison
between diverse settings. We extensively validate the generalization capability
of our approach on different datasets, spanning various modalities (images, text,
graphs), tasks (e.g., classification, reconstruction) and architectures (e.g.,
CNNs, GCNs, transformers).'
article_processing_charge: No
author:
- first_name: Luca
full_name: Moschella, Luca
last_name: Moschella
- first_name: Valentino
full_name: Maiorca, Valentino
last_name: Maiorca
- first_name: Marco
full_name: Fumero, Marco
last_name: Fumero
- first_name: Antonio
full_name: Norelli, Antonio
last_name: Norelli
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
- first_name: Emanuele
full_name: Rodolà, Emanuele
last_name: Rodolà
citation:
ama: 'Moschella L, Maiorca V, Fumero M, Norelli A, Locatello F, Rodolà E. Relative
representations enable zero-shot latent space communication. In: The 11th International
Conference on Learning Representations. ; 2023.'
apa: Moschella, L., Maiorca, V., Fumero, M., Norelli, A., Locatello, F., & Rodolà,
E. (2023). Relative representations enable zero-shot latent space communication.
In The 11th International Conference on Learning Representations. Kigali,
Rwanda.
chicago: Moschella, Luca, Valentino Maiorca, Marco Fumero, Antonio Norelli, Francesco
Locatello, and Emanuele Rodolà. “Relative Representations Enable Zero-Shot Latent
Space Communication.” In The 11th International Conference on Learning Representations,
2023.
ieee: L. Moschella, V. Maiorca, M. Fumero, A. Norelli, F. Locatello, and E. Rodolà,
“Relative representations enable zero-shot latent space communication,” in The
11th International Conference on Learning Representations, Kigali, Rwanda,
2023.
ista: Moschella L, Maiorca V, Fumero M, Norelli A, Locatello F, Rodolà E. 2023.
Relative representations enable zero-shot latent space communication. The 11th
International Conference on Learning Representations. International Conference
on Machine Learning Representations.
mla: Moschella, Luca, et al. “Relative Representations Enable Zero-Shot Latent Space
Communication.” The 11th International Conference on Learning Representations,
2023.
short: L. Moschella, V. Maiorca, M. Fumero, A. Norelli, F. Locatello, E. Rodolà,
in:, The 11th International Conference on Learning Representations, 2023.
conference:
end_date: 2023-05-05
location: Kigali, Rwanda
name: International Conference on Machine Learning Representations
start_date: 2023-05-01
date_created: 2023-08-22T14:22:20Z
date_published: 2023-05-01T00:00:00Z
date_updated: 2023-09-13T09:44:26Z
day: '01'
department:
- _id: FrLo
extern: '1'
external_id:
arxiv:
- '2209.15430'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2209.15430
month: '05'
oa: 1
oa_version: Preprint
publication: The 11th International Conference on Learning Representations
publication_status: published
quality_controlled: '1'
status: public
title: Relative representations enable zero-shot latent space communication
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14222'
abstract:
- lang: eng
text: Learning generative object models from unlabelled videos is a long standing
problem and required for causal scene modeling. We decompose this problem into
three easier subtasks, and provide candidate solutions for each of them. Inspired
by the Common Fate Principle of Gestalt Psychology, we first extract (noisy) masks
of moving objects via unsupervised motion segmentation. Second, generative models
are trained on the masks of the background and the moving objects, respectively.
Third, background and foreground models are combined in a conditional "dead leaves"
scene model to sample novel scene configurations where occlusions and depth layering
arise naturally. To evaluate the individual stages, we introduce the Fishbowl
dataset positioned between complex real-world scenes and common object-centric
benchmarks of simplistic objects. We show that our approach allows learning generative
models that generalize beyond the occlusions present in the input videos, and
represent scenes in a modular fashion that allows sampling plausible scenes outside
the training distribution by permitting, for instance, object numbers or densities
not observed in the training set.
article_number: '2110.06562'
article_processing_charge: No
author:
- first_name: Matthias
full_name: Tangemann, Matthias
last_name: Tangemann
- first_name: Steffen
full_name: Schneider, Steffen
last_name: Schneider
- first_name: Julius von
full_name: Kügelgen, Julius von
last_name: Kügelgen
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
- first_name: Peter
full_name: Gehler, Peter
last_name: Gehler
- first_name: Thomas
full_name: Brox, Thomas
last_name: Brox
- first_name: Matthias
full_name: Kümmerer, Matthias
last_name: Kümmerer
- first_name: Matthias
full_name: Bethge, Matthias
last_name: Bethge
- first_name: Bernhard
full_name: Schölkopf, Bernhard
last_name: Schölkopf
citation:
ama: 'Tangemann M, Schneider S, Kügelgen J von, et al. Unsupervised object learning
via common fate. In: 2nd Conference on Causal Learning and Reasoning. ;
2023.'
apa: Tangemann, M., Schneider, S., Kügelgen, J. von, Locatello, F., Gehler, P.,
Brox, T., … Schölkopf, B. (2023). Unsupervised object learning via common fate.
In 2nd Conference on Causal Learning and Reasoning. Tübingen, Germany.
chicago: Tangemann, Matthias, Steffen Schneider, Julius von Kügelgen, Francesco
Locatello, Peter Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, and
Bernhard Schölkopf. “Unsupervised Object Learning via Common Fate.” In 2nd
Conference on Causal Learning and Reasoning, 2023.
ieee: M. Tangemann et al., “Unsupervised object learning via common fate,”
in 2nd Conference on Causal Learning and Reasoning, Tübingen, Germany,
2023.
ista: 'Tangemann M, Schneider S, Kügelgen J von, Locatello F, Gehler P, Brox T,
Kümmerer M, Bethge M, Schölkopf B. 2023. Unsupervised object learning via common
fate. 2nd Conference on Causal Learning and Reasoning. CLeaR: Conference on Causal
Learning and Reasoning, 2110.06562.'
mla: Tangemann, Matthias, et al. “Unsupervised Object Learning via Common Fate.”
2nd Conference on Causal Learning and Reasoning, 2110.06562, 2023.
short: M. Tangemann, S. Schneider, J. von Kügelgen, F. Locatello, P. Gehler, T.
Brox, M. Kümmerer, M. Bethge, B. Schölkopf, in:, 2nd Conference on Causal Learning
and Reasoning, 2023.
conference:
end_date: 2023-04-14
location: Tübingen, Germany
name: 'CLeaR: Conference on Causal Learning and Reasoning'
start_date: 2023-04-11
date_created: 2023-08-22T14:23:54Z
date_published: 2023-04-15T00:00:00Z
date_updated: 2023-09-13T11:31:14Z
day: '15'
department:
- _id: FrLo
extern: '1'
external_id:
arxiv:
- '2110.06562'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2110.06562
month: '04'
oa: 1
oa_version: Preprint
publication: 2nd Conference on Causal Learning and Reasoning
publication_status: published
quality_controlled: '1'
status: public
title: Unsupervised object learning via common fate
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14218'
abstract:
- lang: eng
text: Humans naturally decompose their environment into entities at the appropriate
level of abstraction to act in the world. Allowing machine learning algorithms
to derive this decomposition in an unsupervised way has become an important line
of research. However, current methods are restricted to simulated data or require
additional information in the form of motion or depth in order to successfully
discover objects. In this work, we overcome this limitation by showing that reconstructing
features from models trained in a self-supervised manner is a sufficient training
signal for object-centric representations to arise in a fully unsupervised way.
Our approach, DINOSAUR, significantly out-performs existing image-based object-centric
learning models on simulated data and is the first unsupervised object-centric
model that scales to real-world datasets such as COCO and PASCAL VOC. DINOSAUR
is conceptually simple and shows competitive performance compared to more involved
pipelines from the computer vision literature.
article_processing_charge: No
author:
- first_name: Maximilian
full_name: Seitzer, Maximilian
last_name: Seitzer
- first_name: Max
full_name: Horn, Max
last_name: Horn
- first_name: Andrii
full_name: Zadaianchuk, Andrii
last_name: Zadaianchuk
- first_name: Dominik
full_name: Zietlow, Dominik
last_name: Zietlow
- first_name: Tianjun
full_name: Xiao, Tianjun
last_name: Xiao
- first_name: Carl-Johann Simon-Gabriel
full_name: Carl-Johann Simon-Gabriel, Carl-Johann Simon-Gabriel
last_name: Carl-Johann Simon-Gabriel
- first_name: Tong
full_name: He, Tong
last_name: He
- first_name: Zheng
full_name: Zhang, Zheng
last_name: Zhang
- first_name: Bernhard
full_name: Schölkopf, Bernhard
last_name: Schölkopf
- first_name: Thomas
full_name: Brox, Thomas
last_name: Brox
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
citation:
ama: 'Seitzer M, Horn M, Zadaianchuk A, et al. Bridging the gap to real-world object-centric
learning. In: The 11th International Conference on Learning Representations.
; 2023.'
apa: Seitzer, M., Horn, M., Zadaianchuk, A., Zietlow, D., Xiao, T., Carl-Johann
Simon-Gabriel, C.-J. S.-G., … Locatello, F. (2023). Bridging the gap to real-world
object-centric learning. In The 11th International Conference on Learning Representations.
Kigali, Rwanda.
chicago: Seitzer, Maximilian, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun
Xiao, Carl-Johann Simon-Gabriel Carl-Johann Simon-Gabriel, Tong He, et al. “Bridging
the Gap to Real-World Object-Centric Learning.” In The 11th International Conference
on Learning Representations, 2023.
ieee: M. Seitzer et al., “Bridging the gap to real-world object-centric learning,”
in The 11th International Conference on Learning Representations, Kigali,
Rwanda, 2023.
ista: 'Seitzer M, Horn M, Zadaianchuk A, Zietlow D, Xiao T, Carl-Johann Simon-Gabriel
C-JS-G, He T, Zhang Z, Schölkopf B, Brox T, Locatello F. 2023. Bridging the gap
to real-world object-centric learning. The 11th International Conference on Learning
Representations. ICLR: International Conference on Learning Representations.'
mla: Seitzer, Maximilian, et al. “Bridging the Gap to Real-World Object-Centric
Learning.” The 11th International Conference on Learning Representations,
2023.
short: M. Seitzer, M. Horn, A. Zadaianchuk, D. Zietlow, T. Xiao, C.-J.S.-G. Carl-Johann
Simon-Gabriel, T. He, Z. Zhang, B. Schölkopf, T. Brox, F. Locatello, in:, The
11th International Conference on Learning Representations, 2023.
conference:
end_date: 2023-05-05
location: Kigali, Rwanda
name: 'ICLR: International Conference on Learning Representations'
start_date: 2023-05-01
date_created: 2023-08-22T14:22:41Z
date_published: 2023-05-10T00:00:00Z
date_updated: 2023-09-13T11:37:03Z
day: '10'
department:
- _id: FrLo
extern: '1'
external_id:
arxiv:
- '2209.14860'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2209.14860
month: '05'
oa: 1
oa_version: Preprint
publication: The 11th International Conference on Learning Representations
publication_status: published
quality_controlled: '1'
status: public
title: Bridging the gap to real-world object-centric learning
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14219'
abstract:
- lang: eng
text: "In this paper, we show that recent advances in self-supervised feature\r\nlearning
enable unsupervised object discovery and semantic segmentation with a\r\nperformance
that matches the state of the field on supervised semantic\r\nsegmentation 10
years ago. We propose a methodology based on unsupervised\r\nsaliency masks and
self-supervised feature clustering to kickstart object\r\ndiscovery followed by
training a semantic segmentation network on pseudo-labels\r\nto bootstrap the
system on images with multiple objects. We present results on\r\nPASCAL VOC that
go far beyond the current state of the art (50.0 mIoU), and we\r\nreport for the
first time results on MS COCO for the whole set of 81 classes:\r\nour method discovers
34 categories with more than $20\\%$ IoU, while obtaining\r\nan average IoU of
19.6 for all 81 categories."
article_processing_charge: No
author:
- first_name: Andrii
full_name: Zadaianchuk, Andrii
last_name: Zadaianchuk
- first_name: Matthaeus
full_name: Kleindessner, Matthaeus
last_name: Kleindessner
- first_name: Yi
full_name: Zhu, Yi
last_name: Zhu
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
- first_name: Thomas
full_name: Brox, Thomas
last_name: Brox
citation:
ama: 'Zadaianchuk A, Kleindessner M, Zhu Y, Locatello F, Brox T. Unsupervised semantic
segmentation with self-supervised object-centric representations. In: The 11th
International Conference on Learning Representations. ; 2023.'
apa: Zadaianchuk, A., Kleindessner, M., Zhu, Y., Locatello, F., & Brox, T. (2023).
Unsupervised semantic segmentation with self-supervised object-centric representations.
In The 11th International Conference on Learning Representations. Kigali,
Rwanda.
chicago: Zadaianchuk, Andrii, Matthaeus Kleindessner, Yi Zhu, Francesco Locatello,
and Thomas Brox. “Unsupervised Semantic Segmentation with Self-Supervised Object-Centric
Representations.” In The 11th International Conference on Learning Representations,
2023.
ieee: A. Zadaianchuk, M. Kleindessner, Y. Zhu, F. Locatello, and T. Brox, “Unsupervised
semantic segmentation with self-supervised object-centric representations,” in
The 11th International Conference on Learning Representations, Kigali,
Rwanda, 2023.
ista: 'Zadaianchuk A, Kleindessner M, Zhu Y, Locatello F, Brox T. 2023. Unsupervised
semantic segmentation with self-supervised object-centric representations. The
11th International Conference on Learning Representations. ICLR: International
Conference on Learning Representations.'
mla: Zadaianchuk, Andrii, et al. “Unsupervised Semantic Segmentation with Self-Supervised
Object-Centric Representations.” The 11th International Conference on Learning
Representations, 2023.
short: A. Zadaianchuk, M. Kleindessner, Y. Zhu, F. Locatello, T. Brox, in:, The
11th International Conference on Learning Representations, 2023.
conference:
end_date: 2023-05-05
location: Kigali, Rwanda
name: 'ICLR: International Conference on Learning Representations'
start_date: 2023-05-01
date_created: 2023-08-22T14:22:58Z
date_published: 2023-05-01T00:00:00Z
date_updated: 2023-09-13T11:25:43Z
day: '01'
department:
- _id: FrLo
extern: '1'
external_id:
arxiv:
- '2207.05027'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2207.05027
month: '05'
oa: 1
oa_version: Preprint
publication: The 11th International Conference on Learning Representations
publication_status: published
quality_controlled: '1'
status: public
title: Unsupervised semantic segmentation with self-supervised object-centric representations
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14333'
abstract:
- lang: eng
text: "As causal ground truth is incredibly rare, causal discovery algorithms are\r\ncommonly
only evaluated on simulated data. This is concerning, given that\r\nsimulations
reflect common preconceptions about generating processes regarding\r\nnoise distributions,
model classes, and more. In this work, we propose a novel\r\nmethod for falsifying
the output of a causal discovery algorithm in the absence\r\nof ground truth.
Our key insight is that while statistical learning seeks\r\nstability across subsets
of data points, causal learning should seek stability\r\nacross subsets of variables.
Motivated by this insight, our method relies on a\r\nnotion of compatibility between
causal graphs learned on different subsets of\r\nvariables. We prove that detecting
incompatibilities can falsify wrongly\r\ninferred causal relations due to violation
of assumptions or errors from finite\r\nsample effects. Although passing such
compatibility tests is only a necessary\r\ncriterion for good performance, we
argue that it provides strong evidence for\r\nthe causal models whenever compatibility
entails strong implications for the\r\njoint distribution. We also demonstrate
experimentally that detection of\r\nincompatibilities can aid in causal model
selection."
article_number: '2307.09552'
article_processing_charge: No
author:
- first_name: Philipp M.
full_name: Faller, Philipp M.
last_name: Faller
- first_name: Leena Chennuru
full_name: Vankadara, Leena Chennuru
last_name: Vankadara
- first_name: Atalanti A.
full_name: Mastakouri, Atalanti A.
last_name: Mastakouri
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
- first_name: Dominik
full_name: Janzing, Dominik
last_name: Janzing
citation:
ama: 'Faller PM, Vankadara LC, Mastakouri AA, Locatello F, Janzing D. Self-compatibility:
Evaluating causal discovery without ground truth. arXiv. doi:10.48550/arXiv.2307.09552'
apa: 'Faller, P. M., Vankadara, L. C., Mastakouri, A. A., Locatello, F., & Janzing,
D. (n.d.). Self-compatibility: Evaluating causal discovery without ground truth.
arXiv. https://doi.org/10.48550/arXiv.2307.09552'
chicago: 'Faller, Philipp M., Leena Chennuru Vankadara, Atalanti A. Mastakouri,
Francesco Locatello, and Dominik Janzing. “Self-Compatibility: Evaluating Causal
Discovery without Ground Truth.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2307.09552.'
ieee: 'P. M. Faller, L. C. Vankadara, A. A. Mastakouri, F. Locatello, and D. Janzing,
“Self-compatibility: Evaluating causal discovery without ground truth,” arXiv.
.'
ista: 'Faller PM, Vankadara LC, Mastakouri AA, Locatello F, Janzing D. Self-compatibility:
Evaluating causal discovery without ground truth. arXiv, 2307.09552.'
mla: 'Faller, Philipp M., et al. “Self-Compatibility: Evaluating Causal Discovery
without Ground Truth.” ArXiv, 2307.09552, doi:10.48550/arXiv.2307.09552.'
short: P.M. Faller, L.C. Vankadara, A.A. Mastakouri, F. Locatello, D. Janzing, ArXiv
(n.d.).
date_created: 2023-09-13T12:44:59Z
date_published: 2023-07-18T00:00:00Z
date_updated: 2023-09-13T12:47:53Z
day: '18'
department:
- _id: FrLo
doi: 10.48550/arXiv.2307.09552
extern: '1'
external_id:
arxiv:
- '2307.09552'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2307.09552
month: '07'
oa: 1
oa_version: Preprint
publication: arXiv
publication_status: submitted
status: public
title: 'Self-compatibility: Evaluating causal discovery without ground truth'
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14277'
abstract:
- lang: eng
text: Living tissues are characterized by an intrinsically mechanochemical interplay
of active physical forces and complex biochemical signaling pathways. Either feature
alone can give rise to complex emergent phenomena, for example, mechanically driven
glassy dynamics and rigidity transitions, or chemically driven reaction-diffusion
instabilities. An important question is how to quantitatively assess the contribution
of these different cues to the large-scale dynamics of biological materials. We
address this in Madin-Darby canine kidney (MDCK) monolayers, considering both
mechanochemical feedback between extracellular signal-regulated kinase (ERK) signaling
activity and cellular density as well as a mechanically active tissue rheology
via a self-propelled vertex model. We show that the relative strength of active
migration forces to mechanochemical couplings controls a transition from a uniform
active glass to periodic spatiotemporal waves. We parametrize the model from published
experimental data sets on MDCK monolayers and use it to make new predictions on
the correlation functions of cellular dynamics and the dynamics of topological
defects associated with the oscillatory phase of cells. Interestingly, MDCK monolayers
are best described by an intermediary parameter region in which both mechanochemical
couplings and noisy active propulsion have a strong influence on the dynamics.
Finally, we study how tissue rheology and ERK waves produce feedback on one another
and uncover a mechanism via which tissue fluidity can be controlled by mechanochemical
waves at both the local and global levels.
acknowledgement: We thank all members of the Hannezo group for discussions and suggestions,
as well as Sound Wai Phow for technical assistance. This work received funding from
the European Research Council under the EU Horizon 2020 research and innovation
program Grant Agreement No. 851288 (E.H.), JSPS KAKENHI Grant No. 21H05290, and
the Ministry of Education under the Research Centres of Excellence program through
the MBI at NUS.
article_number: '013001'
article_processing_charge: Yes
article_type: original
author:
- first_name: Daniel R
full_name: Boocock, Daniel R
id: 453AF628-F248-11E8-B48F-1D18A9856A87
last_name: Boocock
orcid: 0000-0002-1585-2631
- first_name: Tsuyoshi
full_name: Hirashima, Tsuyoshi
last_name: Hirashima
- first_name: Edouard B
full_name: Hannezo, Edouard B
id: 3A9DB764-F248-11E8-B48F-1D18A9856A87
last_name: Hannezo
orcid: 0000-0001-6005-1561
citation:
ama: Boocock DR, Hirashima T, Hannezo EB. Interplay between mechanochemical patterning
and glassy dynamics in cellular monolayers. PRX Life. 2023;1(1). doi:10.1103/prxlife.1.013001
apa: Boocock, D. R., Hirashima, T., & Hannezo, E. B. (2023). Interplay between
mechanochemical patterning and glassy dynamics in cellular monolayers. PRX
Life. American Physical Society. https://doi.org/10.1103/prxlife.1.013001
chicago: Boocock, Daniel R, Tsuyoshi Hirashima, and Edouard B Hannezo. “Interplay
between Mechanochemical Patterning and Glassy Dynamics in Cellular Monolayers.”
PRX Life. American Physical Society, 2023. https://doi.org/10.1103/prxlife.1.013001.
ieee: D. R. Boocock, T. Hirashima, and E. B. Hannezo, “Interplay between mechanochemical
patterning and glassy dynamics in cellular monolayers,” PRX Life, vol.
1, no. 1. American Physical Society, 2023.
ista: Boocock DR, Hirashima T, Hannezo EB. 2023. Interplay between mechanochemical
patterning and glassy dynamics in cellular monolayers. PRX Life. 1(1), 013001.
mla: Boocock, Daniel R., et al. “Interplay between Mechanochemical Patterning and
Glassy Dynamics in Cellular Monolayers.” PRX Life, vol. 1, no. 1, 013001,
American Physical Society, 2023, doi:10.1103/prxlife.1.013001.
short: D.R. Boocock, T. Hirashima, E.B. Hannezo, PRX Life 1 (2023).
date_created: 2023-09-06T08:30:59Z
date_published: 2023-07-20T00:00:00Z
date_updated: 2023-09-15T06:39:17Z
day: '20'
ddc:
- '570'
department:
- _id: EdHa
doi: 10.1103/prxlife.1.013001
ec_funded: 1
file:
- access_level: open_access
checksum: f881d98c89eb9f1aa136d7b781511553
content_type: application/pdf
creator: dernst
date_created: 2023-09-15T06:30:50Z
date_updated: 2023-09-15T06:30:50Z
file_id: '14335'
file_name: 2023_PRXLife_Boocock.pdf
file_size: 2559520
relation: main_file
success: 1
file_date_updated: 2023-09-15T06:30:50Z
has_accepted_license: '1'
intvolume: ' 1'
issue: '1'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 05943252-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '851288'
name: Design Principles of Branching Morphogenesis
publication: PRX Life
publication_identifier:
issn:
- 2835-8279
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
status: public
title: Interplay between mechanochemical patterning and glassy dynamics in cellular
monolayers
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 1
year: '2023'
...
---
_id: '14314'
abstract:
- lang: eng
text: The execution of cognitive functions requires coordinated circuit activity
across different brain areas that involves the associated firing of neuronal assemblies.
Here, we tested the circuit mechanism behind assembly interactions between the
hippocampus and the medial prefrontal cortex (mPFC) of adult rats by recording
neuronal populations during a rule-switching task. We identified functionally
coupled CA1-mPFC cells that synchronized their activity beyond that expected from
common spatial coding or oscillatory firing. When such cell pairs fired together,
the mPFC cell strongly phase locked to CA1 theta oscillations and maintained consistent
theta firing phases, independent of the theta timing of their CA1 counterpart.
These functionally connected CA1-mPFC cells formed interconnected assemblies.
While firing together with their CA1 assembly partners, mPFC cells fired along
specific theta sequences. Our results suggest that upregulated theta oscillatory
firing of mPFC cells can signal transient interactions with specific CA1 assemblies,
thus enabling distributed computations.
acknowledgement: We thank A. Cumpelik, H. Chiossi, and L. Bollman for comments on
an earlier version of this manuscript. This work was funded by EU-FP7 MC-ITN IN-SENS
(grant 607616).
article_number: '113015'
article_processing_charge: Yes
article_type: original
author:
- first_name: Michele
full_name: Nardin, Michele
id: 30BD0376-F248-11E8-B48F-1D18A9856A87
last_name: Nardin
orcid: 0000-0001-8849-6570
- first_name: Karola
full_name: Käfer, Karola
id: 2DAA49AA-F248-11E8-B48F-1D18A9856A87
last_name: Käfer
- first_name: Federico
full_name: Stella, Federico
id: 39AF1E74-F248-11E8-B48F-1D18A9856A87
last_name: Stella
orcid: 0000-0001-9439-3148
- first_name: Jozsef L
full_name: Csicsvari, Jozsef L
id: 3FA14672-F248-11E8-B48F-1D18A9856A87
last_name: Csicsvari
orcid: 0000-0002-5193-4036
citation:
ama: Nardin M, Käfer K, Stella F, Csicsvari JL. Theta oscillations as a substrate
for medial prefrontal-hippocampal assembly interactions. Cell Reports.
2023;42(9). doi:10.1016/j.celrep.2023.113015
apa: Nardin, M., Käfer, K., Stella, F., & Csicsvari, J. L. (2023). Theta oscillations
as a substrate for medial prefrontal-hippocampal assembly interactions. Cell
Reports. Elsevier. https://doi.org/10.1016/j.celrep.2023.113015
chicago: Nardin, Michele, Karola Käfer, Federico Stella, and Jozsef L Csicsvari.
“Theta Oscillations as a Substrate for Medial Prefrontal-Hippocampal Assembly
Interactions.” Cell Reports. Elsevier, 2023. https://doi.org/10.1016/j.celrep.2023.113015.
ieee: M. Nardin, K. Käfer, F. Stella, and J. L. Csicsvari, “Theta oscillations as
a substrate for medial prefrontal-hippocampal assembly interactions,” Cell
Reports, vol. 42, no. 9. Elsevier, 2023.
ista: Nardin M, Käfer K, Stella F, Csicsvari JL. 2023. Theta oscillations as a substrate
for medial prefrontal-hippocampal assembly interactions. Cell Reports. 42(9),
113015.
mla: Nardin, Michele, et al. “Theta Oscillations as a Substrate for Medial Prefrontal-Hippocampal
Assembly Interactions.” Cell Reports, vol. 42, no. 9, 113015, Elsevier,
2023, doi:10.1016/j.celrep.2023.113015.
short: M. Nardin, K. Käfer, F. Stella, J.L. Csicsvari, Cell Reports 42 (2023).
date_created: 2023-09-10T22:01:11Z
date_published: 2023-09-26T00:00:00Z
date_updated: 2023-09-15T07:14:12Z
day: '26'
ddc:
- '570'
department:
- _id: JoCs
doi: 10.1016/j.celrep.2023.113015
ec_funded: 1
external_id:
pmid:
- '37632747'
file:
- access_level: open_access
checksum: ca77a304fb813c292550b8604b0fb41d
content_type: application/pdf
creator: dernst
date_created: 2023-09-15T07:12:46Z
date_updated: 2023-09-15T07:12:46Z
file_id: '14337'
file_name: 2023_CellPress_Nardin.pdf
file_size: 4879455
relation: main_file
success: 1
file_date_updated: 2023-09-15T07:12:46Z
has_accepted_license: '1'
intvolume: ' 42'
issue: '9'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 257BBB4C-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '607616'
name: Inter-and intracellular signalling in schizophrenia
publication: Cell Reports
publication_identifier:
eissn:
- 2211-1247
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Theta oscillations as a substrate for medial prefrontal-hippocampal assembly
interactions
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 42
year: '2023'
...
---
_id: '14315'
abstract:
- lang: eng
text: During apoptosis, caspases degrade 8 out of ~30 nucleoporins to irreversibly
demolish the nuclear pore complex. However, for poorly understood reasons, caspases
are also activated during cell differentiation. Here, we show that sublethal activation
of caspases during myogenesis results in the transient proteolysis of four peripheral
Nups and one transmembrane Nup. ‘Trimmed’ NPCs become nuclear export-defective,
and we identified in an unbiased manner several classes of cytoplasmic, plasma
membrane, and mitochondrial proteins that rapidly accumulate in the nucleus. NPC
trimming by non-apoptotic caspases was also observed in neurogenesis and endoplasmic
reticulum stress. Our results suggest that caspases can reversibly modulate nuclear
transport activity, which allows them to function as agents of cell differentiation
and adaptation at sublethal levels.
acknowledgement: 'We thank the members of the Hetzer laboratory, Tony Hunter (Salk),
Lorenzo Puri (Sanford Burnham Prebys), and Jongmin Kim (Massachusetts General Hospital)
for the critical reading of the manuscript; Kenneth Diffenderfer and Aimee Pankonin
(Stem Cell Core at the Salk Institute) for help with neurogenesis; Carol Marchetto
and Fred Gage (Salk) for providing H9 embryonic stem cells; Lorenzo Puri, Alexandra
Sacco, and Luca Caputo (Sanford Burnham Prebys) for helpful discussions and sharing
mouse primary myoblasts. This work was supported by a Glenn Foundation for Medical
Research Postdoctoral Fellowship in Aging Research (UHC), the NOMIS foundation (MWH),
and the National Institutes of Health (R01 NS096786 to MWH and K01 AR080828 to UHC).
This work was also supported by the Mass Spectrometry Core of the Salk Institute
with funding from NIH-NCI CCSG: P30 014195 and the Helmsley Center for Genomic Medicine.
We thank Jolene Diedrich and Antonio Pinto for technical support.'
article_number: RP89066
article_processing_charge: Yes
article_type: original
author:
- first_name: Ukrae H.
full_name: Cho, Ukrae H.
last_name: Cho
- first_name: Martin W
full_name: Hetzer, Martin W
id: 86c0d31b-b4eb-11ec-ac5a-eae7b2e135ed
last_name: Hetzer
orcid: 0000-0002-2111-992X
citation:
ama: Cho UH, Hetzer M. Caspase-mediated nuclear pore complex trimming in cell differentiation
and endoplasmic reticulum stress. eLife. 2023;12. doi:10.7554/eLife.89066
apa: Cho, U. H., & Hetzer, M. (2023). Caspase-mediated nuclear pore complex
trimming in cell differentiation and endoplasmic reticulum stress. ELife.
eLife Sciences Publications. https://doi.org/10.7554/eLife.89066
chicago: Cho, Ukrae H., and Martin Hetzer. “Caspase-Mediated Nuclear Pore Complex
Trimming in Cell Differentiation and Endoplasmic Reticulum Stress.” ELife.
eLife Sciences Publications, 2023. https://doi.org/10.7554/eLife.89066.
ieee: U. H. Cho and M. Hetzer, “Caspase-mediated nuclear pore complex trimming in
cell differentiation and endoplasmic reticulum stress,” eLife, vol. 12.
eLife Sciences Publications, 2023.
ista: Cho UH, Hetzer M. 2023. Caspase-mediated nuclear pore complex trimming in
cell differentiation and endoplasmic reticulum stress. eLife. 12, RP89066.
mla: Cho, Ukrae H., and Martin Hetzer. “Caspase-Mediated Nuclear Pore Complex Trimming
in Cell Differentiation and Endoplasmic Reticulum Stress.” ELife, vol.
12, RP89066, eLife Sciences Publications, 2023, doi:10.7554/eLife.89066.
short: U.H. Cho, M. Hetzer, ELife 12 (2023).
date_created: 2023-09-10T22:01:11Z
date_published: 2023-09-04T00:00:00Z
date_updated: 2023-09-15T07:07:10Z
day: '04'
ddc:
- '570'
department:
- _id: MaHe
doi: 10.7554/eLife.89066
external_id:
pmid:
- '37665327'
file:
- access_level: open_access
checksum: db24bf3d595507387b48d3799c33e289
content_type: application/pdf
creator: dernst
date_created: 2023-09-15T06:59:10Z
date_updated: 2023-09-15T06:59:10Z
file_id: '14336'
file_name: 2023_eLife_Cho.pdf
file_size: 3703097
relation: main_file
success: 1
file_date_updated: 2023-09-15T06:59:10Z
has_accepted_license: '1'
intvolume: ' 12'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
pmid: 1
publication: eLife
publication_identifier:
eissn:
- 2050-084X
publication_status: published
publisher: eLife Sciences Publications
quality_controlled: '1'
scopus_import: '1'
status: public
title: Caspase-mediated nuclear pore complex trimming in cell differentiation and
endoplasmic reticulum stress
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 12
year: '2023'
...
---
_id: '14319'
abstract:
- lang: eng
text: "We study multigraphs whose edge-sets are the union of three perfect matchings,
M1, M2, and M3. Given such a graph G and any a1; a2; a3 2 N with a1 +a2 +a3 6
n - 2, we show there exists a matching M of G with jM \\ Mij = ai for each i 2
f1; 2; 3g. The bound n - 2 in the theorem is best possible in general. We conjecture
however that if G is bipartite, the same result holds with n - 2 replaced by n
- 1. We give a construction that shows such a result would be tight. We\r\nalso
make a conjecture generalising the Ryser-Brualdi-Stein conjecture with colour\r\nmultiplicities."
acknowledgement: Anastos has received funding from the European Union’s Horizon 2020
research and in-novation programme under the Marie Sk lodowska-Curie grant agreement
No 101034413.Fabian’s research is supported by the Deutsche Forschungsgemeinschaft
(DFG, GermanResearch Foundation) Graduiertenkolleg “Facets of Complexity” (GRK 2434).
article_number: P3.10
article_processing_charge: Yes
article_type: original
author:
- first_name: Michael
full_name: Anastos, Michael
id: 0b2a4358-bb35-11ec-b7b9-e3279b593dbb
last_name: Anastos
- first_name: David
full_name: Fabian, David
last_name: Fabian
- first_name: Alp
full_name: Müyesser, Alp
last_name: Müyesser
- first_name: Tibor
full_name: Szabó, Tibor
last_name: Szabó
citation:
ama: Anastos M, Fabian D, Müyesser A, Szabó T. Splitting matchings and the Ryser-Brualdi-Stein
conjecture for multisets. Electronic Journal of Combinatorics. 2023;30(3).
doi:10.37236/11714
apa: Anastos, M., Fabian, D., Müyesser, A., & Szabó, T. (2023). Splitting matchings
and the Ryser-Brualdi-Stein conjecture for multisets. Electronic Journal of
Combinatorics. Electronic Journal of Combinatorics. https://doi.org/10.37236/11714
chicago: Anastos, Michael, David Fabian, Alp Müyesser, and Tibor Szabó. “Splitting
Matchings and the Ryser-Brualdi-Stein Conjecture for Multisets.” Electronic
Journal of Combinatorics. Electronic Journal of Combinatorics, 2023. https://doi.org/10.37236/11714.
ieee: M. Anastos, D. Fabian, A. Müyesser, and T. Szabó, “Splitting matchings and
the Ryser-Brualdi-Stein conjecture for multisets,” Electronic Journal of Combinatorics,
vol. 30, no. 3. Electronic Journal of Combinatorics, 2023.
ista: Anastos M, Fabian D, Müyesser A, Szabó T. 2023. Splitting matchings and the
Ryser-Brualdi-Stein conjecture for multisets. Electronic Journal of Combinatorics.
30(3), P3.10.
mla: Anastos, Michael, et al. “Splitting Matchings and the Ryser-Brualdi-Stein Conjecture
for Multisets.” Electronic Journal of Combinatorics, vol. 30, no. 3, P3.10,
Electronic Journal of Combinatorics, 2023, doi:10.37236/11714.
short: M. Anastos, D. Fabian, A. Müyesser, T. Szabó, Electronic Journal of Combinatorics
30 (2023).
date_created: 2023-09-10T22:01:12Z
date_published: 2023-07-28T00:00:00Z
date_updated: 2023-09-15T08:12:30Z
day: '28'
ddc:
- '510'
department:
- _id: MaKw
doi: 10.37236/11714
ec_funded: 1
external_id:
arxiv:
- '2212.03100'
file:
- access_level: open_access
checksum: 52c46c8cb329f9aaee9ade01525f317b
content_type: application/pdf
creator: dernst
date_created: 2023-09-15T08:02:09Z
date_updated: 2023-09-15T08:02:09Z
file_id: '14338'
file_name: 2023_elecJournCombinatorics_Anastos.pdf
file_size: 247917
relation: main_file
success: 1
file_date_updated: 2023-09-15T08:02:09Z
has_accepted_license: '1'
intvolume: ' 30'
issue: '3'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nd/4.0/
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
call_identifier: H2020
grant_number: '101034413'
name: 'IST-BRIDGE: International postdoctoral program'
publication: Electronic Journal of Combinatorics
publication_identifier:
eissn:
- 1077-8926
publication_status: published
publisher: Electronic Journal of Combinatorics
quality_controlled: '1'
scopus_import: '1'
status: public
title: Splitting matchings and the Ryser-Brualdi-Stein conjecture for multisets
tmp:
image: /image/cc_by_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nd/4.0/legalcode
name: Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)
short: CC BY-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 30
year: '2023'
...
---
_id: '14318'
abstract:
- lang: eng
text: "Probabilistic recurrence relations (PRRs) are a standard formalism for describing
the runtime of a randomized algorithm. Given a PRR and a time limit κ, we consider
the tail probability Pr[T≥κ], i.e., the probability that the randomized runtime
T of the PRR exceeds κ. Our focus is the formal analysis of tail bounds that aims
at finding a tight asymptotic upper bound u≥Pr[T≥κ]. To address this problem,
the classical and most well-known approach is the cookbook method by Karp (JACM
1994), while other approaches are mostly limited to deriving tail bounds of specific
PRRs via involved custom analysis.\r\nIn this work, we propose a novel approach
for deriving the common exponentially-decreasing tail bounds for PRRs whose preprocessing
time and random passed sizes observe discrete or (piecewise) uniform distribution
and whose recursive call is either a single procedure call or a divide-and-conquer.
We first establish a theoretical approach via Markov’s inequality, and then instantiate
the theoretical approach with a template-based algorithmic approach via a refined
treatment of exponentiation. Experimental evaluation shows that our algorithmic
approach is capable of deriving tail bounds that are (i) asymptotically tighter
than Karp’s method, (ii) match the best-known manually-derived asymptotic tail
bound for QuickSelect, and (iii) is only slightly worse (with a loglogn factor)
than the manually-proven optimal asymptotic tail bound for QuickSort. Moreover,
our algorithmic approach handles all examples (including realistic PRRs such as
QuickSort, QuickSelect, DiameterComputation, etc.) in less than 0.1 s, showing
that our approach is efficient in practice."
acknowledgement: We thank Prof. Bican Xia for valuable information on the exponential
theory of reals. The work is partially supported by the National Natural Science
Foundation of China (NSFC) with Grant No. 62172271, ERC CoG 863818 (ForM-SMArt),
the Hong Kong Research Grants Council ECS Project Number 26208122, the HKUST-Kaisa
Joint Research Institute Project Grant HKJRI3A-055 and the HKUST Startup Grant R9272.
alternative_title:
- LNCS
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Yican
full_name: Sun, Yican
last_name: Sun
- first_name: Hongfei
full_name: Fu, Hongfei
last_name: Fu
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Amir Kafshdar
full_name: Goharshady, Amir Kafshdar
id: 391365CE-F248-11E8-B48F-1D18A9856A87
last_name: Goharshady
orcid: 0000-0003-1702-6584
citation:
ama: 'Sun Y, Fu H, Chatterjee K, Goharshady AK. Automated tail bound analysis for probabilistic
recurrence relations. In: Computer Aided Verification. Vol 13966. Springer
Nature; 2023:16-39. doi:10.1007/978-3-031-37709-9_2'
apa: 'Sun, Y., Fu, H., Chatterjee, K., & Goharshady, A. K. (2023). Automated
tail bound analysis for probabilistic recurrence relations. In Computer Aided
Verification (Vol. 13966, pp. 16–39). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-37709-9_2'
chicago: Sun, Yican, Hongfei Fu, Krishnendu Chatterjee, and Amir Kafshdar Goharshady.
“Automated Tail Bound Analysis for Probabilistic Recurrence Relations.” In Computer
Aided Verification, 13966:16–39. Springer Nature, 2023. https://doi.org/10.1007/978-3-031-37709-9_2.
ieee: Y. Sun, H. Fu, K. Chatterjee, and A. K. Goharshady, “Automated tail bound
analysis for probabilistic recurrence relations,” in Computer Aided Verification,
Paris, France, 2023, vol. 13966, pp. 16–39.
ista: 'Sun Y, Fu H, Chatterjee K, Goharshady AK. 2023. Automated tail bound analysis
for probabilistic recurrence relations. Computer Aided Verification. CAV: Computer
Aided Verification, LNCS, vol. 13966, 16–39.'
mla: Sun, Yican, et al. “Automated Tail Bound Analysis for Probabilistic Recurrence
Relations.” Computer Aided Verification, vol. 13966, Springer Nature, 2023,
pp. 16–39, doi:10.1007/978-3-031-37709-9_2.
short: Y. Sun, H. Fu, K. Chatterjee, A.K. Goharshady, in:, Computer Aided Verification,
Springer Nature, 2023, pp. 16–39.
conference:
end_date: 2023-07-22
location: Paris, France
name: 'CAV: Computer Aided Verification'
start_date: 2023-07-17
date_created: 2023-09-10T22:01:12Z
date_published: 2023-07-17T00:00:00Z
date_updated: 2023-09-20T08:25:57Z
day: '17'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1007/978-3-031-37709-9_2
ec_funded: 1
file:
- access_level: open_access
checksum: 42917e086f8c7699f3bccf84f74fe000
content_type: application/pdf
creator: dernst
date_created: 2023-09-20T08:24:47Z
date_updated: 2023-09-20T08:24:47Z
file_id: '14348'
file_name: 2023_LNCS_Sun.pdf
file_size: 624647
relation: main_file
success: 1
file_date_updated: 2023-09-20T08:24:47Z
has_accepted_license: '1'
intvolume: ' 13966'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: 16-39
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: Computer Aided Verification
publication_identifier:
eissn:
- 1611-3349
isbn:
- '9783031377082'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/boyvolcano/PRR
scopus_import: '1'
status: public
title: Automated tail bound analysis for probabilistic recurrence relations
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13966
year: '2023'
...
---
_id: '14317'
abstract:
- lang: eng
text: "Markov decision processes can be viewed as transformers of probability distributions.
While this view is useful from a practical standpoint to reason about trajectories
of distributions, basic reachability and safety problems are known to be computationally
intractable (i.e., Skolem-hard) to solve in such models. Further, we show that
even for simple examples of MDPs, strategies for safety objectives over distributions
can require infinite memory and randomization.\r\nIn light of this, we present
a novel overapproximation approach to synthesize strategies in an MDP, such that
a safety objective over the distributions is met. More precisely, we develop a
new framework for template-based synthesis of certificates as affine distributional
and inductive invariants for safety objectives in MDPs. We provide two algorithms
within this framework. One can only synthesize memoryless strategies, but has
relative completeness guarantees, while the other can synthesize general strategies.
The runtime complexity of both algorithms is in PSPACE. We implement these algorithms
and show that they can solve several non-trivial examples."
acknowledgement: This work was supported in part by the ERC CoG 863818 (FoRM-SMArt)
and the European Union’s Horizon 2020 research and innovation programme under the
Marie Skłodowska-Curie Grant Agreement No. 665385 as well as DST/CEFIPRA/INRIA project
EQuaVE and SERB Matrices grant MTR/2018/00074.
alternative_title:
- LNCS
article_processing_charge: Yes (in subscription journal)
author:
- first_name: S.
full_name: Akshay, S.
last_name: Akshay
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Tobias
full_name: Meggendorfer, Tobias
id: b21b0c15-30a2-11eb-80dc-f13ca25802e1
last_name: Meggendorfer
orcid: 0000-0002-1712-2165
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
orcid: 0000-0002-4681-1699
citation:
ama: 'Akshay S, Chatterjee K, Meggendorfer T, Zikelic D. MDPs as distribution transformers:
Affine invariant synthesis for safety objectives. In: International Conference
on Computer Aided Verification. Vol 13966. Springer Nature; 2023:86-112. doi:10.1007/978-3-031-37709-9_5'
apa: 'Akshay, S., Chatterjee, K., Meggendorfer, T., & Zikelic, D. (2023). MDPs
as distribution transformers: Affine invariant synthesis for safety objectives.
In International Conference on Computer Aided Verification (Vol. 13966,
pp. 86–112). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-37709-9_5'
chicago: 'Akshay, S., Krishnendu Chatterjee, Tobias Meggendorfer, and Dorde Zikelic.
“MDPs as Distribution Transformers: Affine Invariant Synthesis for Safety Objectives.”
In International Conference on Computer Aided Verification, 13966:86–112.
Springer Nature, 2023. https://doi.org/10.1007/978-3-031-37709-9_5.'
ieee: 'S. Akshay, K. Chatterjee, T. Meggendorfer, and D. Zikelic, “MDPs as distribution
transformers: Affine invariant synthesis for safety objectives,” in International
Conference on Computer Aided Verification, Paris, France, 2023, vol. 13966,
pp. 86–112.'
ista: 'Akshay S, Chatterjee K, Meggendorfer T, Zikelic D. 2023. MDPs as distribution
transformers: Affine invariant synthesis for safety objectives. International
Conference on Computer Aided Verification. CAV: Computer Aided Verification, LNCS,
vol. 13966, 86–112.'
mla: 'Akshay, S., et al. “MDPs as Distribution Transformers: Affine Invariant Synthesis
for Safety Objectives.” International Conference on Computer Aided Verification,
vol. 13966, Springer Nature, 2023, pp. 86–112, doi:10.1007/978-3-031-37709-9_5.'
short: S. Akshay, K. Chatterjee, T. Meggendorfer, D. Zikelic, in:, International
Conference on Computer Aided Verification, Springer Nature, 2023, pp. 86–112.
conference:
end_date: 2023-07-22
location: Paris, France
name: 'CAV: Computer Aided Verification'
start_date: 2023-07-17
date_created: 2023-09-10T22:01:12Z
date_published: 2023-07-17T00:00:00Z
date_updated: 2023-09-20T09:04:40Z
day: '17'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1007/978-3-031-37709-9_5
ec_funded: 1
file:
- access_level: open_access
checksum: f143c8eedf609f20f2aad2eeb496d53f
content_type: application/pdf
creator: dernst
date_created: 2023-09-20T08:46:43Z
date_updated: 2023-09-20T08:46:43Z
file_id: '14349'
file_name: 2023_LNCS_Akshay.pdf
file_size: 531745
relation: main_file
success: 1
file_date_updated: 2023-09-20T08:46:43Z
has_accepted_license: '1'
intvolume: ' 13966'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: 86-112
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: International Conference on Computer Aided Verification
publication_identifier:
eissn:
- 1611-3349
isbn:
- '9783031377082'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'MDPs as distribution transformers: Affine invariant synthesis for safety objectives'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13966
year: '2023'
...
---
_id: '14316'
abstract:
- lang: eng
text: Clathrin-mediated vesicle trafficking plays central roles in post-Golgi transport.
In yeast (Saccharomyces cerevisiae), the AP-1 complex and GGA adaptors are predicted
to generate distinct transport vesicles at the trans-Golgi network (TGN), and
the epsin-related proteins Ent3p and Ent5p (collectively Ent3p/5p) act as accessories
for these adaptors. Recently, we showed that vesicle transport from the TGN is
crucial for yeast Rab5 (Vps21p)-mediated endosome formation, and that Ent3p/5p
are crucial for this process, whereas AP-1 and GGA adaptors are dispensable. However,
these observations were incompatible with previous studies showing that these
adaptors are required for Ent3p/5p recruitment to the TGN, and thus the overall
mechanism responsible for regulation of Vps21p activity remains ambiguous. Here,
we investigated the functional relationships between clathrin adaptors in post-Golgi-mediated
Vps21p activation. We show that AP-1 disruption in the ent3Δ5Δ mutant impaired
transport of the Vps21p guanine nucleotide exchange factor Vps9p transport to
the Vps21p compartment and severely reduced Vps21p activity. Additionally, GGA
adaptors, the phosphatidylinositol-4-kinase Pik1p and Rab11 GTPases Ypt31p and
Ypt32p were found to have partially overlapping functions for recruitment of AP-1
and Ent3p/5p to the TGN. These findings suggest a distinct role of clathrin adaptors
for Vps21p activation in the TGN–endosome trafficking pathway.
article_number: jcs261448
article_processing_charge: No
article_type: original
author:
- first_name: Makoto
full_name: Nagano, Makoto
last_name: Nagano
- first_name: Kaito
full_name: Aoshima, Kaito
last_name: Aoshima
- first_name: Hiroki
full_name: Shimamura, Hiroki
last_name: Shimamura
- first_name: Daria E
full_name: Siekhaus, Daria E
id: 3D224B9E-F248-11E8-B48F-1D18A9856A87
last_name: Siekhaus
orcid: 0000-0001-8323-8353
- first_name: Junko Y.
full_name: Toshima, Junko Y.
last_name: Toshima
- first_name: Jiro
full_name: Toshima, Jiro
last_name: Toshima
citation:
ama: Nagano M, Aoshima K, Shimamura H, Siekhaus DE, Toshima JY, Toshima J. Distinct
role of TGN-resident clathrin adaptors for Vps21p activation in the TGN-endosome
trafficking pathway. Journal of Cell Science. 2023;136(17). doi:10.1242/jcs.261448
apa: Nagano, M., Aoshima, K., Shimamura, H., Siekhaus, D. E., Toshima, J. Y., &
Toshima, J. (2023). Distinct role of TGN-resident clathrin adaptors for Vps21p
activation in the TGN-endosome trafficking pathway. Journal of Cell Science.
The Company of Biologists. https://doi.org/10.1242/jcs.261448
chicago: Nagano, Makoto, Kaito Aoshima, Hiroki Shimamura, Daria E Siekhaus, Junko
Y. Toshima, and Jiro Toshima. “Distinct Role of TGN-Resident Clathrin Adaptors
for Vps21p Activation in the TGN-Endosome Trafficking Pathway.” Journal of
Cell Science. The Company of Biologists, 2023. https://doi.org/10.1242/jcs.261448.
ieee: M. Nagano, K. Aoshima, H. Shimamura, D. E. Siekhaus, J. Y. Toshima, and J.
Toshima, “Distinct role of TGN-resident clathrin adaptors for Vps21p activation
in the TGN-endosome trafficking pathway,” Journal of Cell Science, vol.
136, no. 17. The Company of Biologists, 2023.
ista: Nagano M, Aoshima K, Shimamura H, Siekhaus DE, Toshima JY, Toshima J. 2023.
Distinct role of TGN-resident clathrin adaptors for Vps21p activation in the TGN-endosome
trafficking pathway. Journal of Cell Science. 136(17), jcs261448.
mla: Nagano, Makoto, et al. “Distinct Role of TGN-Resident Clathrin Adaptors for
Vps21p Activation in the TGN-Endosome Trafficking Pathway.” Journal of Cell
Science, vol. 136, no. 17, jcs261448, The Company of Biologists, 2023, doi:10.1242/jcs.261448.
short: M. Nagano, K. Aoshima, H. Shimamura, D.E. Siekhaus, J.Y. Toshima, J. Toshima,
Journal of Cell Science 136 (2023).
date_created: 2023-09-10T22:01:12Z
date_published: 2023-09-01T00:00:00Z
date_updated: 2023-09-20T09:14:15Z
day: '01'
department:
- _id: DaSi
doi: 10.1242/jcs.261448
external_id:
pmid:
- '37539494'
intvolume: ' 136'
issue: '17'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1101/2023.03.27.534325
month: '09'
oa: 1
oa_version: Preprint
pmid: 1
publication: Journal of Cell Science
publication_identifier:
eissn:
- 1477-9137
issn:
- 0021-9533
publication_status: published
publisher: The Company of Biologists
quality_controlled: '1'
scopus_import: '1'
status: public
title: Distinct role of TGN-resident clathrin adaptors for Vps21p activation in the
TGN-endosome trafficking pathway
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 136
year: '2023'
...
---
_id: '14320'
abstract:
- lang: eng
text: The development of two-dimensional materials has resulted in a diverse range
of novel, high-quality compounds with increasing complexity. A key requirement
for a comprehensive quantitative theory is the accurate determination of these
materials' band structure parameters. However, this task is challenging due to
the intricate band structures and the indirect nature of experimental probes.
In this work, we introduce a general framework to derive band structure parameters
from experimental data using deep neural networks. We applied our method to the
penetration field capacitance measurement of trilayer graphene, an effective probe
of its density of states. First, we demonstrate that a trained deep network gives
accurate predictions for the penetration field capacitance as a function of tight-binding
parameters. Next, we use the fast and accurate predictions from the trained network
to automatically determine tight-binding parameters directly from experimental
data, with extracted parameters being in a good agreement with values in the literature.
We conclude by discussing potential applications of our method to other materials
and experimental techniques beyond penetration field capacitance.
acknowledgement: A.F.Y. acknowledges primary support from the Department of Energy
under award DE-SC0020043, and additional support from the Gordon and Betty Moore
Foundation under award GBMF9471 for group operations.
article_number: '125411'
article_processing_charge: No
article_type: original
author:
- first_name: Paul M
full_name: Henderson, Paul M
id: 13C09E74-18D9-11E9-8878-32CFE5697425
last_name: Henderson
orcid: 0000-0002-5198-7445
- first_name: Areg
full_name: Ghazaryan, Areg
id: 4AF46FD6-F248-11E8-B48F-1D18A9856A87
last_name: Ghazaryan
orcid: 0000-0001-9666-3543
- first_name: Alexander A.
full_name: Zibrov, Alexander A.
last_name: Zibrov
- first_name: Andrea F.
full_name: Young, Andrea F.
last_name: Young
- first_name: Maksym
full_name: Serbyn, Maksym
id: 47809E7E-F248-11E8-B48F-1D18A9856A87
last_name: Serbyn
orcid: 0000-0002-2399-5827
citation:
ama: 'Henderson PM, Ghazaryan A, Zibrov AA, Young AF, Serbyn M. Deep learning extraction
of band structure parameters from density of states: A case study on trilayer
graphene. Physical Review B. 2023;108(12). doi:10.1103/physrevb.108.125411'
apa: 'Henderson, P. M., Ghazaryan, A., Zibrov, A. A., Young, A. F., & Serbyn,
M. (2023). Deep learning extraction of band structure parameters from density
of states: A case study on trilayer graphene. Physical Review B. American
Physical Society. https://doi.org/10.1103/physrevb.108.125411'
chicago: 'Henderson, Paul M, Areg Ghazaryan, Alexander A. Zibrov, Andrea F. Young,
and Maksym Serbyn. “Deep Learning Extraction of Band Structure Parameters from
Density of States: A Case Study on Trilayer Graphene.” Physical Review B.
American Physical Society, 2023. https://doi.org/10.1103/physrevb.108.125411.'
ieee: 'P. M. Henderson, A. Ghazaryan, A. A. Zibrov, A. F. Young, and M. Serbyn,
“Deep learning extraction of band structure parameters from density of states:
A case study on trilayer graphene,” Physical Review B, vol. 108, no. 12.
American Physical Society, 2023.'
ista: 'Henderson PM, Ghazaryan A, Zibrov AA, Young AF, Serbyn M. 2023. Deep learning
extraction of band structure parameters from density of states: A case study on
trilayer graphene. Physical Review B. 108(12), 125411.'
mla: 'Henderson, Paul M., et al. “Deep Learning Extraction of Band Structure Parameters
from Density of States: A Case Study on Trilayer Graphene.” Physical Review
B, vol. 108, no. 12, 125411, American Physical Society, 2023, doi:10.1103/physrevb.108.125411.'
short: P.M. Henderson, A. Ghazaryan, A.A. Zibrov, A.F. Young, M. Serbyn, Physical
Review B 108 (2023).
date_created: 2023-09-12T07:12:12Z
date_published: 2023-09-15T00:00:00Z
date_updated: 2023-09-20T09:38:24Z
day: '15'
department:
- _id: MaSe
- _id: ChLa
- _id: MiLe
doi: 10.1103/physrevb.108.125411
external_id:
arxiv:
- '2210.06310'
intvolume: ' 108'
issue: '12'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2210.06310
month: '09'
oa: 1
oa_version: Preprint
publication: Physical Review B
publication_identifier:
eissn:
- 2469-9969
issn:
- 2469-9950
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Deep learning extraction of band structure parameters from density of states:
A case study on trilayer graphene'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 108
year: '2023'
...
---
_id: '12732'
abstract:
- lang: eng
text: "Nonergodic systems, whose out-of-equilibrium dynamics fail to thermalize,
provide a fascinating research direction both for fundamental reasons and for
application in state of the art quantum devices.\r\nGoing beyond the description
of statistical mechanics, ergodicity breaking yields a new paradigm in quantum
many-body physics, introducing novel phases of matter with no counterpart at equilibrium.\r\nIn
this Thesis, we address different open questions in the field, focusing on disorder-induced
many-body localization (MBL) and on weak ergodicity breaking in kinetically constrained
models.\r\nIn particular, we contribute to the debate about transport in kinetically
constrained models, studying the effect of $U(1)$ conservation and inversion-symmetry
breaking in a family of quantum East models.\r\nUsing tensor network techniques,
we analyze the dynamics of large MBL systems beyond the limit of exact numerical
methods.\r\nIn this setting, we approach the debated topic of the coexistence
of localized and thermal eigenstates separated by energy thresholds known as many-body
mobility edges.\r\nInspired by recent experiments, our work further investigates
the localization of a small bath induced by the coupling to a large localized
chain, the so-called MBL proximity effect.\r\n\r\nIn the first Chapter, we introduce
a family of particle-conserving kinetically constrained models, inspired by the
quantum East model.\r\nThe system we study features strong inversion-symmetry
breaking, due to the nature of the correlated hopping.\r\nWe show that these models
host so-called quantum Hilbert space fragmentation, consisting of disconnected
subsectors in an entangled basis, and further provide an analytical description
of this phenomenon.\r\nWe further probe its effect on dynamics of simple product
states, showing revivals in fidelity and local observalbes.\r\nThe study of dynamics
within the largest subsector reveals an anomalous transient superdiffusive behavior
crossing over to slow logarithmic dynamics at later times.\r\nThis work suggests
that particle conserving constrained models with inversion-symmetry breaking realize
new universality classes of dynamics and invite their further theoretical and
experimental studies.\r\n\r\nNext, we use kinetic constraints and disorder to
design a model with many-body mobility edges in particle density.\r\nThis feature
allows to study the dynamics of localized and thermal states in large systems
beyond the limitations of previous studies.\r\nThe time-evolution shows typical
signatures of localization at small densities, replaced by thermal behavior at
larger densities.\r\nOur results provide evidence in favor of the stability of
many-body mobility edges, which was recently challenged by a theoretical argument.\r\nTo
support our findings, we probe the mechanism proposed as a cause of delocalization
in many-body localized systems with mobility edges suggesting its ineffectiveness
in the model studied.\r\n\r\nIn the last Chapter of this Thesis, we address the
topic of many-body localization proximity effect.\r\nWe study a model inspired
by recent experiments, featuring Anderson localized coupled to a small bath of
free hard-core bosons.\r\nThe interaction among the two particle species results
in non-trivial dynamics, which we probe using tensor network techniques.\r\nOur
simulations show convincing evidence of many-body localization proximity effect
when the bath is composed by a single free particle and interactions are strong.\r\nWe
furthter observe an anomalous entanglement dynamics, which we explain through
a phenomenological theory.\r\nFinally, we extract highly excited eigenstates of
large systems, providing supplementary evidence in favor of our findings."
acknowledged_ssus:
- _id: ScienComp
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Pietro
full_name: Brighi, Pietro
id: 4115AF5C-F248-11E8-B48F-1D18A9856A87
last_name: Brighi
orcid: 0000-0002-7969-2729
citation:
ama: Brighi P. Ergodicity breaking in disordered and kinetically constrained quantum
many-body systems. 2023. doi:10.15479/at:ista:12732
apa: Brighi, P. (2023). Ergodicity breaking in disordered and kinetically constrained
quantum many-body systems. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:12732
chicago: Brighi, Pietro. “Ergodicity Breaking in Disordered and Kinetically Constrained
Quantum Many-Body Systems.” Institute of Science and Technology Austria, 2023.
https://doi.org/10.15479/at:ista:12732.
ieee: P. Brighi, “Ergodicity breaking in disordered and kinetically constrained
quantum many-body systems,” Institute of Science and Technology Austria, 2023.
ista: Brighi P. 2023. Ergodicity breaking in disordered and kinetically constrained
quantum many-body systems. Institute of Science and Technology Austria.
mla: Brighi, Pietro. Ergodicity Breaking in Disordered and Kinetically Constrained
Quantum Many-Body Systems. Institute of Science and Technology Austria, 2023,
doi:10.15479/at:ista:12732.
short: P. Brighi, Ergodicity Breaking in Disordered and Kinetically Constrained
Quantum Many-Body Systems, Institute of Science and Technology Austria, 2023.
date_created: 2023-03-17T13:30:48Z
date_published: 2023-03-21T00:00:00Z
date_updated: 2023-09-20T10:44:12Z
day: '21'
ddc:
- '530'
degree_awarded: PhD
department:
- _id: GradSch
- _id: MaSe
doi: 10.15479/at:ista:12732
ec_funded: 1
file:
- access_level: closed
checksum: 5d2de651ef9449c1b8dc27148ca74777
content_type: application/zip
creator: pbrighi
date_created: 2023-03-23T16:42:56Z
date_updated: 2023-03-23T16:42:56Z
file_id: '12753'
file_name: Thesis_sub_PBrighi.zip
file_size: 42167561
relation: source_file
- access_level: open_access
checksum: 7caa153d4a5b0873a79358787d2dfe1e
content_type: application/pdf
creator: pbrighi
date_created: 2023-03-23T16:43:14Z
date_updated: 2023-03-23T16:43:14Z
file_id: '12754'
file_name: Thesis_PBrighi.pdf
file_size: 13977000
relation: main_file
success: 1
file_date_updated: 2023-03-23T16:43:14Z
has_accepted_license: '1'
language:
- iso: eng
month: '03'
oa: 1
oa_version: None
page: '158'
project:
- _id: 23841C26-32DE-11EA-91FC-C7463DDC885E
call_identifier: H2020
grant_number: '850899'
name: 'Non-Ergodic Quantum Matter: Universality, Dynamics and Control'
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '11470'
relation: part_of_dissertation
status: public
- id: '8308'
relation: part_of_dissertation
status: public
- id: '11469'
relation: part_of_dissertation
status: public
- id: '12750'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Maksym
full_name: Serbyn, Maksym
id: 47809E7E-F248-11E8-B48F-1D18A9856A87
last_name: Serbyn
orcid: 0000-0002-2399-5827
title: Ergodicity breaking in disordered and kinetically constrained quantum many-body
systems
tmp:
image: /images/cc_by_nc_sa.png
legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC
BY-NC-SA 4.0)
short: CC BY-NC-SA (4.0)
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2023'
...
---
_id: '14334'
abstract:
- lang: eng
text: Quantum kinetically constrained models have recently attracted significant
attention due to their anomalous dynamics and thermalization. In this work, we
introduce a hitherto unexplored family of kinetically constrained models featuring
conserved particle number and strong inversion-symmetry breaking due to facilitated
hopping. We demonstrate that these models provide a generic example of so-called
quantum Hilbert space fragmentation, that is manifested in disconnected sectors
in the Hilbert space that are not apparent in the computational basis. Quantum
Hilbert space fragmentation leads to an exponential in system size number of eigenstates
with exactly zero entanglement entropy across several bipartite cuts. These eigenstates
can be probed dynamically using quenches from simple initial product states. In
addition, we study the particle spreading under unitary dynamics launched from
the domain wall state, and find faster than diffusive dynamics at high particle
densities, that crosses over into logarithmically slow relaxation at smaller densities.
Using a classically simulable cellular automaton, we reproduce the logarithmic
dynamics observed in the quantum case. Our work suggests that particle conserving
constrained models with inversion symmetry breaking realize so far unexplored
dynamical behavior and invite their further theoretical and experimental studies.
acknowledgement: "We would like to thank Raimel A. Medina, Hansveer Singh, and Dmitry
Abanin for useful\r\ndiscussions.The authors acknowledge support by the European
Research Council\r\n(ERC) under the European Union’s Horizon 2020 research and innovation
program (Grant\r\nAgreement No. 850899). We acknowledge support by the Erwin Schrödinger
International\r\nInstitute for Mathematics and Physics (ESI)."
article_number: '093'
article_processing_charge: No
article_type: original
author:
- first_name: Pietro
full_name: Brighi, Pietro
id: 4115AF5C-F248-11E8-B48F-1D18A9856A87
last_name: Brighi
orcid: 0000-0002-7969-2729
- first_name: Marko
full_name: Ljubotina, Marko
id: F75EE9BE-5C90-11EA-905D-16643DDC885E
last_name: Ljubotina
orcid: 0000-0003-0038-7068
- first_name: Maksym
full_name: Serbyn, Maksym
id: 47809E7E-F248-11E8-B48F-1D18A9856A87
last_name: Serbyn
orcid: 0000-0002-2399-5827
citation:
ama: Brighi P, Ljubotina M, Serbyn M. Hilbert space fragmentation and slow dynamics
in particle-conserving quantum East models. SciPost Physics. 2023;15(3).
doi:10.21468/scipostphys.15.3.093
apa: Brighi, P., Ljubotina, M., & Serbyn, M. (2023). Hilbert space fragmentation
and slow dynamics in particle-conserving quantum East models. SciPost Physics.
SciPost Foundation. https://doi.org/10.21468/scipostphys.15.3.093
chicago: Brighi, Pietro, Marko Ljubotina, and Maksym Serbyn. “Hilbert Space Fragmentation
and Slow Dynamics in Particle-Conserving Quantum East Models.” SciPost Physics.
SciPost Foundation, 2023. https://doi.org/10.21468/scipostphys.15.3.093.
ieee: P. Brighi, M. Ljubotina, and M. Serbyn, “Hilbert space fragmentation and slow
dynamics in particle-conserving quantum East models,” SciPost Physics,
vol. 15, no. 3. SciPost Foundation, 2023.
ista: Brighi P, Ljubotina M, Serbyn M. 2023. Hilbert space fragmentation and slow
dynamics in particle-conserving quantum East models. SciPost Physics. 15(3), 093.
mla: Brighi, Pietro, et al. “Hilbert Space Fragmentation and Slow Dynamics in Particle-Conserving
Quantum East Models.” SciPost Physics, vol. 15, no. 3, 093, SciPost Foundation,
2023, doi:10.21468/scipostphys.15.3.093.
short: P. Brighi, M. Ljubotina, M. Serbyn, SciPost Physics 15 (2023).
date_created: 2023-09-14T13:08:23Z
date_published: 2023-09-13T00:00:00Z
date_updated: 2023-09-20T10:46:29Z
day: '13'
ddc:
- '530'
department:
- _id: MaSe
doi: 10.21468/scipostphys.15.3.093
ec_funded: 1
external_id:
arxiv:
- '2210.15607'
file:
- access_level: open_access
checksum: 4cef6a8021f6b6c47ab2f2f2b1387ac2
content_type: application/pdf
creator: dernst
date_created: 2023-09-20T10:46:10Z
date_updated: 2023-09-20T10:46:10Z
file_id: '14350'
file_name: 2023_SciPostPhysics_Brighi.pdf
file_size: 4866506
relation: main_file
success: 1
file_date_updated: 2023-09-20T10:46:10Z
has_accepted_license: '1'
intvolume: ' 15'
issue: '3'
keyword:
- General Physics and Astronomy
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
project:
- _id: 23841C26-32DE-11EA-91FC-C7463DDC885E
call_identifier: H2020
grant_number: '850899'
name: 'Non-Ergodic Quantum Matter: Universality, Dynamics and Control'
publication: SciPost Physics
publication_identifier:
issn:
- 2542-4653
publication_status: published
publisher: SciPost Foundation
quality_controlled: '1'
related_material:
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- id: '12750'
relation: earlier_version
status: public
status: public
title: Hilbert space fragmentation and slow dynamics in particle-conserving quantum
East models
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 15
year: '2023'
...
---
_id: '14321'
abstract:
- lang: eng
text: We demonstrate the possibility of a coupling between the magnetization direction
of a ferromagnet and the tilting angle of adsorbed achiral molecules. To illustrate
the mechanism of the coupling, we analyze a minimal Stoner model that includes
Rashba spin–orbit coupling due to the electric field on the surface of the ferromagnet.
The proposed mechanism allows us to study magnetic anisotropy of the system with
an extended Stoner–Wohlfarth model and argue that adsorbed achiral molecules can
change magnetocrystalline anisotropy of the substrate. Our research aims to motivate
further experimental studies of the current-free chirality induced spin selectivity
effect involving both enantiomers.
acknowledgement: "We thank Zhanybek Alpichshev, Mohammad Reza Safari, Binghai Yan,
and Yossi Paltiel for enlightening discussions.\r\nM.L. acknowledges support from
the European Research Council (ERC) Starting Grant No. 801770 (ANGULON). A. C. received
funding from the European Union’s Horizon Europe research and innovation program
under the Marie Skłodowska-Curie Grant Agreement No. 101062862 - NeqMolRot."
article_number: '104103'
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Ragheed
full_name: Al Hyder, Ragheed
id: d1c405be-ae15-11ed-8510-ccf53278162e
last_name: Al Hyder
- first_name: Alberto
full_name: Cappellaro, Alberto
id: 9d13b3cb-30a2-11eb-80dc-f772505e8660
last_name: Cappellaro
orcid: 0000-0001-6110-2359
- first_name: Mikhail
full_name: Lemeshko, Mikhail
id: 37CB05FA-F248-11E8-B48F-1D18A9856A87
last_name: Lemeshko
orcid: 0000-0002-6990-7802
- first_name: Artem
full_name: Volosniev, Artem
id: 37D278BC-F248-11E8-B48F-1D18A9856A87
last_name: Volosniev
orcid: 0000-0003-0393-5525
citation:
ama: Al Hyder R, Cappellaro A, Lemeshko M, Volosniev A. Achiral dipoles on a ferromagnet
can affect its magnetization direction. The Journal of Chemical Physics.
2023;159(10). doi:10.1063/5.0165806
apa: Al Hyder, R., Cappellaro, A., Lemeshko, M., & Volosniev, A. (2023). Achiral
dipoles on a ferromagnet can affect its magnetization direction. The Journal
of Chemical Physics. AIP Publishing. https://doi.org/10.1063/5.0165806
chicago: Al Hyder, Ragheed, Alberto Cappellaro, Mikhail Lemeshko, and Artem Volosniev.
“Achiral Dipoles on a Ferromagnet Can Affect Its Magnetization Direction.” The
Journal of Chemical Physics. AIP Publishing, 2023. https://doi.org/10.1063/5.0165806.
ieee: R. Al Hyder, A. Cappellaro, M. Lemeshko, and A. Volosniev, “Achiral dipoles
on a ferromagnet can affect its magnetization direction,” The Journal of Chemical
Physics, vol. 159, no. 10. AIP Publishing, 2023.
ista: Al Hyder R, Cappellaro A, Lemeshko M, Volosniev A. 2023. Achiral dipoles on
a ferromagnet can affect its magnetization direction. The Journal of Chemical
Physics. 159(10), 104103.
mla: Al Hyder, Ragheed, et al. “Achiral Dipoles on a Ferromagnet Can Affect Its
Magnetization Direction.” The Journal of Chemical Physics, vol. 159, no.
10, 104103, AIP Publishing, 2023, doi:10.1063/5.0165806.
short: R. Al Hyder, A. Cappellaro, M. Lemeshko, A. Volosniev, The Journal of Chemical
Physics 159 (2023).
date_created: 2023-09-13T09:25:09Z
date_published: 2023-09-11T00:00:00Z
date_updated: 2023-09-20T09:48:12Z
day: '11'
ddc:
- '530'
department:
- _id: MiLe
doi: 10.1063/5.0165806
ec_funded: 1
external_id:
arxiv:
- '2306.17592'
pmid:
- '37694742'
file:
- access_level: open_access
checksum: 507ab65ab29e2c987c94cabad7c5370b
content_type: application/pdf
creator: acappell
date_created: 2023-09-13T09:34:20Z
date_updated: 2023-09-13T09:34:20Z
file_id: '14322'
file_name: 104103_1_5.0165806.pdf
file_size: 5749653
relation: main_file
success: 1
file_date_updated: 2023-09-13T09:34:20Z
has_accepted_license: '1'
intvolume: ' 159'
issue: '10'
keyword:
- Physical and Theoretical Chemistry
- General Physics and Astronomy
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: bd7b5202-d553-11ed-ba76-9b1c1b258338
grant_number: '101062862'
name: Non-equilibrium Field Theory of Molecular Rotations
- _id: 2688CF98-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '801770'
name: 'Angulon: physics and applications of a new quasiparticle'
publication: The Journal of Chemical Physics
publication_identifier:
eissn:
- 1089-7690
issn:
- 0021-9606
publication_status: published
publisher: AIP Publishing
quality_controlled: '1'
scopus_import: '1'
status: public
title: Achiral dipoles on a ferromagnet can affect its magnetization direction
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 159
year: '2023'
...
---
_id: '14342'
abstract:
- lang: eng
text: We propose a simple method to measure nonlinear Kerr refractive index in mid-infrared
frequency range that avoids using sophisticated infrared detectors. Our approach
is based on using a near-infrared probe beam which interacts with a mid-IR beam
via wavelength-non-degenerate cross-phase modulation (XPM). By carefully measuring
XPM-induced spectral modifications in the probe beam and comparing the experimental
data with simulation results, we extract the value for the non-degenerate Kerr
index. Finally, in order to obtain the value of degenerate mid-IR Kerr index,
we use the well-established two-band formalism of Sheik-Bahae et al., which is
shown to become particularly simple in the limit of low frequencies. The proposed
technique is complementary to the conventional techniques, such as z-scan, and
has the advantage of not requiring any mid-infrared detectors.
acknowledgement: The work was supported by IST Austria. The authors would like to
gratefully acknowledge the help and assistance of Professor John M. Dudley.
article_number: '091104'
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Dusan
full_name: Lorenc, Dusan
id: 40D8A3E6-F248-11E8-B48F-1D18A9856A87
last_name: Lorenc
- first_name: Zhanybek
full_name: Alpichshev, Zhanybek
id: 45E67A2A-F248-11E8-B48F-1D18A9856A87
last_name: Alpichshev
orcid: 0000-0002-7183-5203
citation:
ama: Lorenc D, Alpichshev Z. Mid-infrared Kerr index evaluation via cross-phase
modulation with a near-infrared probe beam. Applied Physics Letters. 2023;123(9).
doi:10.1063/5.0161713
apa: Lorenc, D., & Alpichshev, Z. (2023). Mid-infrared Kerr index evaluation
via cross-phase modulation with a near-infrared probe beam. Applied Physics
Letters. AIP Publishing. https://doi.org/10.1063/5.0161713
chicago: Lorenc, Dusan, and Zhanybek Alpichshev. “Mid-Infrared Kerr Index Evaluation
via Cross-Phase Modulation with a near-Infrared Probe Beam.” Applied Physics
Letters. AIP Publishing, 2023. https://doi.org/10.1063/5.0161713.
ieee: D. Lorenc and Z. Alpichshev, “Mid-infrared Kerr index evaluation via cross-phase
modulation with a near-infrared probe beam,” Applied Physics Letters, vol.
123, no. 9. AIP Publishing, 2023.
ista: Lorenc D, Alpichshev Z. 2023. Mid-infrared Kerr index evaluation via cross-phase
modulation with a near-infrared probe beam. Applied Physics Letters. 123(9), 091104.
mla: Lorenc, Dusan, and Zhanybek Alpichshev. “Mid-Infrared Kerr Index Evaluation
via Cross-Phase Modulation with a near-Infrared Probe Beam.” Applied Physics
Letters, vol. 123, no. 9, 091104, AIP Publishing, 2023, doi:10.1063/5.0161713.
short: D. Lorenc, Z. Alpichshev, Applied Physics Letters 123 (2023).
date_created: 2023-09-17T22:01:09Z
date_published: 2023-08-28T00:00:00Z
date_updated: 2023-09-20T11:50:06Z
day: '28'
ddc:
- '530'
department:
- _id: ZhAl
doi: 10.1063/5.0161713
external_id:
arxiv:
- '2306.09043'
file:
- access_level: open_access
checksum: 89a1b604d58b209fec66c6b6f919ac98
content_type: application/pdf
creator: dernst
date_created: 2023-09-20T11:36:16Z
date_updated: 2023-09-20T11:36:16Z
file_id: '14353'
file_name: 2023_ApplPhysLetter_Lorenc.pdf
file_size: 1486715
relation: main_file
success: 1
file_date_updated: 2023-09-20T11:36:16Z
has_accepted_license: '1'
intvolume: ' 123'
issue: '9'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
publication: Applied Physics Letters
publication_identifier:
issn:
- 0003-6951
publication_status: published
publisher: AIP Publishing
quality_controlled: '1'
scopus_import: '1'
status: public
title: Mid-infrared Kerr index evaluation via cross-phase modulation with a near-infrared
probe beam
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 123
year: '2023'
...
---
_id: '14368'
abstract:
- lang: eng
text: "Purpose: \r\nBiallelic variants in TARS2, encoding the mitochondrial threonyl-tRNA-synthetase,
have been reported in a small group of individuals displaying a neurodevelopmental
phenotype but with limited neuroradiological data and insufficient evidence for
causality of the variants.\r\nMethods:\r\nExome or genome sequencing was carried
out in 15 families. Clinical and neuroradiological evaluation was performed for
all affected individuals, including review of 10 previously reported individuals.
The pathogenicity of TARS2 variants was evaluated using in vitro assays and a
zebrafish model.\r\nResults:\r\nWe report 18 new individuals harboring biallelic
TARS2 variants. Phenotypically, these individuals show developmental delay/intellectual
disability, regression, cerebellar and cerebral atrophy, basal ganglia signal
alterations, hypotonia, cerebellar signs, and increased blood lactate. In vitro
studies showed that variants within the TARS2301-381 region had decreased binding
to Rag GTPases, likely impairing mTORC1 activity. The zebrafish model recapitulated
key features of the human phenotype and unraveled dysregulation of downstream
targets of mTORC1 signaling. Functional testing of the variants confirmed the
pathogenicity in a zebrafish model.\r\nConclusion:\r\nWe define the clinico-radiological
spectrum of TARS2-related mitochondrial disease, unveil the likely involvement
of the mTORC1 signaling pathway as a distinct molecular mechanism, and establish
a TARS2 zebrafish model as an important tool to study variant pathogenicity."
article_number: '100938'
article_processing_charge: No
article_type: original
author:
- first_name: Andrea
full_name: Accogli, Andrea
last_name: Accogli
- first_name: Sheng-Jia
full_name: Lin, Sheng-Jia
last_name: Lin
- first_name: Mariasavina
full_name: Severino, Mariasavina
last_name: Severino
- first_name: Sung-Hoon
full_name: Kim, Sung-Hoon
last_name: Kim
- first_name: Kevin
full_name: Huang, Kevin
id: 3b3d2888-1ff6-11ee-9fa6-8f209ca91fe3
last_name: Huang
orcid: 0000-0002-2512-7812
- first_name: Clarissa
full_name: Rocca, Clarissa
last_name: Rocca
- first_name: Megan
full_name: Landsverk, Megan
last_name: Landsverk
- first_name: Maha S.
full_name: Zaki, Maha S.
last_name: Zaki
- first_name: Almundher
full_name: Al-Maawali, Almundher
last_name: Al-Maawali
- first_name: Varunvenkat M.
full_name: Srinivasan, Varunvenkat M.
last_name: Srinivasan
- first_name: Khalid
full_name: Al-Thihli, Khalid
last_name: Al-Thihli
- first_name: G. Bradly
full_name: Schaefer, G. Bradly
last_name: Schaefer
- first_name: Monica
full_name: Davis, Monica
last_name: Davis
- first_name: Davide
full_name: Tonduti, Davide
last_name: Tonduti
- first_name: Chiara
full_name: Doneda, Chiara
last_name: Doneda
- first_name: Lara M.
full_name: Marten, Lara M.
last_name: Marten
- first_name: Chris
full_name: Mühlhausen, Chris
last_name: Mühlhausen
- first_name: Maria
full_name: Gomez, Maria
last_name: Gomez
- first_name: Eleonora
full_name: Lamantea, Eleonora
last_name: Lamantea
- first_name: Rafael
full_name: Mena, Rafael
last_name: Mena
- first_name: Mathilde
full_name: Nizon, Mathilde
last_name: Nizon
- first_name: Vincent
full_name: Procaccio, Vincent
last_name: Procaccio
- first_name: Amber
full_name: Begtrup, Amber
last_name: Begtrup
- first_name: Aida
full_name: Telegrafi, Aida
last_name: Telegrafi
- first_name: Hong
full_name: Cui, Hong
last_name: Cui
- first_name: Heidi L.
full_name: Schulz, Heidi L.
last_name: Schulz
- first_name: Julia
full_name: Mohr, Julia
last_name: Mohr
- first_name: Saskia
full_name: Biskup, Saskia
last_name: Biskup
- first_name: Mariana Amina
full_name: Loos, Mariana Amina
last_name: Loos
- first_name: Hilda Verónica
full_name: Aráoz, Hilda Verónica
last_name: Aráoz
- first_name: Vincenzo
full_name: Salpietro, Vincenzo
last_name: Salpietro
- first_name: Laura Davis
full_name: Keppen, Laura Davis
last_name: Keppen
- first_name: Manali
full_name: Chitre, Manali
last_name: Chitre
- first_name: Cassidy
full_name: Petree, Cassidy
last_name: Petree
- first_name: Lucy
full_name: Raymond, Lucy
last_name: Raymond
- first_name: Julie
full_name: Vogt, Julie
last_name: Vogt
- first_name: Lindsey B.
full_name: Sawyer, Lindsey B.
last_name: Sawyer
- first_name: Alice A.
full_name: Basinger, Alice A.
last_name: Basinger
- first_name: Signe Vandal
full_name: Pedersen, Signe Vandal
last_name: Pedersen
- first_name: Toni S.
full_name: Pearson, Toni S.
last_name: Pearson
- first_name: Dorothy K.
full_name: Grange, Dorothy K.
last_name: Grange
- first_name: Lokesh
full_name: Lingappa, Lokesh
last_name: Lingappa
- first_name: Paige
full_name: McDunnah, Paige
last_name: McDunnah
- first_name: Rita
full_name: Horvath, Rita
last_name: Horvath
- first_name: Benjamin
full_name: Cognè, Benjamin
last_name: Cognè
- first_name: Bertrand
full_name: Isidor, Bertrand
last_name: Isidor
- first_name: Andreas
full_name: Hahn, Andreas
last_name: Hahn
- first_name: Karen W.
full_name: Gripp, Karen W.
last_name: Gripp
- first_name: Seyed Mehdi
full_name: Jafarnejad, Seyed Mehdi
last_name: Jafarnejad
- first_name: Elsebet
full_name: Østergaard, Elsebet
last_name: Østergaard
- first_name: Carlos E.
full_name: Prada, Carlos E.
last_name: Prada
- first_name: Daniele
full_name: Ghezzi, Daniele
last_name: Ghezzi
- first_name: Vykuntaraju K.
full_name: Gowda, Vykuntaraju K.
last_name: Gowda
- first_name: Robert W.
full_name: Taylor, Robert W.
last_name: Taylor
- first_name: Nahum
full_name: Sonenberg, Nahum
last_name: Sonenberg
- first_name: Henry
full_name: Houlden, Henry
last_name: Houlden
- first_name: Marie
full_name: Sissler, Marie
last_name: Sissler
- first_name: Gaurav K.
full_name: Varshney, Gaurav K.
last_name: Varshney
- first_name: Reza
full_name: Maroofian, Reza
last_name: Maroofian
citation:
ama: Accogli A, Lin S-J, Severino M, et al. Clinical, neuroradiological, and molecular
characterization of mitochondrial threonyl-tRNA-synthetase (TARS2)-related disorder.
Genetics in Medicine. 2023;25(11). doi:10.1016/j.gim.2023.100938
apa: Accogli, A., Lin, S.-J., Severino, M., Kim, S.-H., Huang, K., Rocca, C., …
Maroofian, R. (2023). Clinical, neuroradiological, and molecular characterization
of mitochondrial threonyl-tRNA-synthetase (TARS2)-related disorder. Genetics
in Medicine. Elsevier. https://doi.org/10.1016/j.gim.2023.100938
chicago: Accogli, Andrea, Sheng-Jia Lin, Mariasavina Severino, Sung-Hoon Kim, Kevin
Huang, Clarissa Rocca, Megan Landsverk, et al. “Clinical, Neuroradiological, and
Molecular Characterization of Mitochondrial Threonyl-TRNA-Synthetase (TARS2)-Related
Disorder.” Genetics in Medicine. Elsevier, 2023. https://doi.org/10.1016/j.gim.2023.100938.
ieee: A. Accogli et al., “Clinical, neuroradiological, and molecular characterization
of mitochondrial threonyl-tRNA-synthetase (TARS2)-related disorder,” Genetics
in Medicine, vol. 25, no. 11. Elsevier, 2023.
ista: Accogli A, Lin S-J, Severino M, Kim S-H, Huang K, Rocca C, Landsverk M, Zaki
MS, Al-Maawali A, Srinivasan VM, Al-Thihli K, Schaefer GB, Davis M, Tonduti D,
Doneda C, Marten LM, Mühlhausen C, Gomez M, Lamantea E, Mena R, Nizon M, Procaccio
V, Begtrup A, Telegrafi A, Cui H, Schulz HL, Mohr J, Biskup S, Loos MA, Aráoz
HV, Salpietro V, Keppen LD, Chitre M, Petree C, Raymond L, Vogt J, Sawyer LB,
Basinger AA, Pedersen SV, Pearson TS, Grange DK, Lingappa L, McDunnah P, Horvath
R, Cognè B, Isidor B, Hahn A, Gripp KW, Jafarnejad SM, Østergaard E, Prada CE,
Ghezzi D, Gowda VK, Taylor RW, Sonenberg N, Houlden H, Sissler M, Varshney GK,
Maroofian R. 2023. Clinical, neuroradiological, and molecular characterization
of mitochondrial threonyl-tRNA-synthetase (TARS2)-related disorder. Genetics in
Medicine. 25(11), 100938.
mla: Accogli, Andrea, et al. “Clinical, Neuroradiological, and Molecular Characterization
of Mitochondrial Threonyl-TRNA-Synthetase (TARS2)-Related Disorder.” Genetics
in Medicine, vol. 25, no. 11, 100938, Elsevier, 2023, doi:10.1016/j.gim.2023.100938.
short: A. Accogli, S.-J. Lin, M. Severino, S.-H. Kim, K. Huang, C. Rocca, M. Landsverk,
M.S. Zaki, A. Al-Maawali, V.M. Srinivasan, K. Al-Thihli, G.B. Schaefer, M. Davis,
D. Tonduti, C. Doneda, L.M. Marten, C. Mühlhausen, M. Gomez, E. Lamantea, R. Mena,
M. Nizon, V. Procaccio, A. Begtrup, A. Telegrafi, H. Cui, H.L. Schulz, J. Mohr,
S. Biskup, M.A. Loos, H.V. Aráoz, V. Salpietro, L.D. Keppen, M. Chitre, C. Petree,
L. Raymond, J. Vogt, L.B. Sawyer, A.A. Basinger, S.V. Pedersen, T.S. Pearson,
D.K. Grange, L. Lingappa, P. McDunnah, R. Horvath, B. Cognè, B. Isidor, A. Hahn,
K.W. Gripp, S.M. Jafarnejad, E. Østergaard, C.E. Prada, D. Ghezzi, V.K. Gowda,
R.W. Taylor, N. Sonenberg, H. Houlden, M. Sissler, G.K. Varshney, R. Maroofian,
Genetics in Medicine 25 (2023).
date_created: 2023-09-25T08:44:29Z
date_published: 2023-11-01T00:00:00Z
date_updated: 2023-09-25T08:50:10Z
day: '01'
ddc:
- '570'
doi: 10.1016/j.gim.2023.100938
extern: '1'
file:
- access_level: open_access
checksum: 440f0cd8a2ffcbe03c015c1746728387
content_type: application/pdf
creator: dernst
date_created: 2023-09-25T08:48:54Z
date_updated: 2023-09-25T08:48:54Z
file_id: '14369'
file_name: 2023_GeneticsMedicine_Accogli.pdf
file_size: 4105513
relation: main_file
success: 1
file_date_updated: 2023-09-25T08:48:54Z
has_accepted_license: '1'
intvolume: ' 25'
issue: '11'
keyword:
- Genetics (clinical)
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
publication: Genetics in Medicine
publication_identifier:
issn:
- 1098-3600
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Clinical, neuroradiological, and molecular characterization of mitochondrial
threonyl-tRNA-synthetase (TARS2)-related disorder
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 25
year: '2023'
...
---
_id: '13120'
abstract:
- lang: eng
text: 'We formalized general (i.e., type-0) grammars using the Lean 3 proof assistant.
We defined basic notions of rewrite rules and of words derived by a grammar, and
used grammars to show closure of the class of type-0 languages under four operations:
union, reversal, concatenation, and the Kleene star. The literature mostly focuses
on Turing machine arguments, which are possibly more difficult to formalize. For
the Kleene star, we could not follow the literature and came up with our own grammar-based
construction.'
acknowledgement: "Jasmin Blanchette: This research has received funding from the Netherlands
Organization\r\nfor Scientific Research (NWO) under the Vidi program (project No.
016.Vidi.189.037, Lean Forward).\r\n__\r\nWe thank Vladimir Kolmogorov for making
this collaboration possible. We\r\nthank Václav Končický for discussing ideas about
the Kleene star construction. We thank Patrick Johnson, Floris van Doorn, and Damiano
Testa for their small yet very valuable contributions to our code. We thank Eric
Wieser for simplifying one of our proofs. We thank Mark Summerfield for suggesting
textual improvements. We thank the anonymous reviewers for very helpful comments.
Finally, we thank the Lean community for helping us with various technical issues
and answering many questions. "
alternative_title:
- LIPIcs
article_number: '15'
article_processing_charge: No
author:
- first_name: Martin
full_name: Dvorak, Martin
id: 40ED02A8-C8B4-11E9-A9C0-453BE6697425
last_name: Dvorak
orcid: 0000-0001-5293-214X
- first_name: Jasmin
full_name: Blanchette, Jasmin
last_name: Blanchette
citation:
ama: 'Dvorak M, Blanchette J. Closure properties of general grammars - formally
verified. In: 14th International Conference on Interactive Theorem Proving.
Vol 268. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2023. doi:10.4230/LIPIcs.ITP.2023.15'
apa: 'Dvorak, M., & Blanchette, J. (2023). Closure properties of general grammars
- formally verified. In 14th International Conference on Interactive Theorem
Proving (Vol. 268). Bialystok, Poland: Schloss Dagstuhl - Leibniz-Zentrum
für Informatik. https://doi.org/10.4230/LIPIcs.ITP.2023.15'
chicago: Dvorak, Martin, and Jasmin Blanchette. “Closure Properties of General Grammars
- Formally Verified.” In 14th International Conference on Interactive Theorem
Proving, Vol. 268. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2023.
https://doi.org/10.4230/LIPIcs.ITP.2023.15.
ieee: M. Dvorak and J. Blanchette, “Closure properties of general grammars - formally
verified,” in 14th International Conference on Interactive Theorem Proving,
Bialystok, Poland, 2023, vol. 268.
ista: 'Dvorak M, Blanchette J. 2023. Closure properties of general grammars - formally
verified. 14th International Conference on Interactive Theorem Proving. ITP: International
Conference on Interactive Theorem Proving, LIPIcs, vol. 268, 15.'
mla: Dvorak, Martin, and Jasmin Blanchette. “Closure Properties of General Grammars
- Formally Verified.” 14th International Conference on Interactive Theorem
Proving, vol. 268, 15, Schloss Dagstuhl - Leibniz-Zentrum für Informatik,
2023, doi:10.4230/LIPIcs.ITP.2023.15.
short: M. Dvorak, J. Blanchette, in:, 14th International Conference on Interactive
Theorem Proving, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2023.
conference:
end_date: 2023-08-04
location: Bialystok, Poland
name: 'ITP: International Conference on Interactive Theorem Proving'
start_date: 2023-07-31
date_created: 2023-06-05T07:29:05Z
date_published: 2023-07-27T00:00:00Z
date_updated: 2023-09-25T11:04:29Z
day: '27'
ddc:
- '000'
department:
- _id: GradSch
- _id: VlKo
doi: 10.4230/LIPIcs.ITP.2023.15
external_id:
arxiv:
- '2302.06420'
file:
- access_level: open_access
checksum: 773a0197f05b67feaa6cb1e17ec3642d
content_type: application/pdf
creator: dernst
date_created: 2023-08-07T11:55:43Z
date_updated: 2023-08-07T11:55:43Z
file_id: '13982'
file_name: 2023_LIPIcS_Dvorak.pdf
file_size: 715976
relation: main_file
success: 1
file_date_updated: 2023-08-07T11:55:43Z
has_accepted_license: '1'
intvolume: ' 268'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
publication: 14th International Conference on Interactive Theorem Proving
publication_identifier:
eissn:
- 1868-8969
isbn:
- '9783959772846'
publication_status: published
publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/madvorak/grammars/tree/publish
scopus_import: '1'
status: public
title: Closure properties of general grammars - formally verified
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 268
year: '2023'
...
---
_id: '13969'
abstract:
- lang: eng
text: "Bundling crossings is a strategy which can enhance the readability\r\nof
graph drawings. In this paper we consider good drawings, i.e., we require that\r\nany
two edges have at most one common point which can be a common vertex or a\r\ncrossing.
Our main result is that there is a polynomial-time algorithm to compute an\r\n8-approximation
of the bundled crossing number of a good drawing with no toothed\r\nhole. In general
the number of toothed holes has to be added to the 8-approximation.\r\nIn the
special case of circular drawings the approximation factor is 8, this improves\r\nupon
the 10-approximation of Fink et al. [14]. Our approach also works with the same\r\napproximation
factor for families of pseudosegments, i.e., curves intersecting at most\r\nonce.
We also show how to compute a 9/2-approximation when the intersection graph of\r\nthe
pseudosegments is bipartite and has no toothed hole."
acknowledgement: This work was initiated during the Workshop on Geometric Graphs in
November 2019 in Strobl, Austria. We would like to thank Oswin Aichholzer, Fabian
Klute, Man-Kwun Chiu, Martin Balko, Pavel Valtr for their avid discussions during
the workshop. The first author has received funding from the European Union’s Horizon
2020 research and innovation programme under the Marie Sk lodowska-Curie grant agreement
No 754411. The second author has been supported by the German Research Foundation
DFG Project FE 340/12-1. An extended abstract of this paper has been published in
the proceedings of WALCOM 2022 in the Springer LNCS series, vol. 13174, pages 383–395.
article_processing_charge: Yes
article_type: original
author:
- first_name: Alan M
full_name: Arroyo Guevara, Alan M
id: 3207FDC6-F248-11E8-B48F-1D18A9856A87
last_name: Arroyo Guevara
orcid: 0000-0003-2401-8670
- first_name: Stefan
full_name: Felsner, Stefan
last_name: Felsner
citation:
ama: Arroyo Guevara AM, Felsner S. Approximating the bundled crossing number. Journal
of Graph Algorithms and Applications. 2023;27(6):433-457. doi:10.7155/jgaa.00629
apa: Arroyo Guevara, A. M., & Felsner, S. (2023). Approximating the bundled
crossing number. Journal of Graph Algorithms and Applications. Brown University.
https://doi.org/10.7155/jgaa.00629
chicago: Arroyo Guevara, Alan M, and Stefan Felsner. “Approximating the Bundled
Crossing Number.” Journal of Graph Algorithms and Applications. Brown University,
2023. https://doi.org/10.7155/jgaa.00629.
ieee: A. M. Arroyo Guevara and S. Felsner, “Approximating the bundled crossing number,”
Journal of Graph Algorithms and Applications, vol. 27, no. 6. Brown University,
pp. 433–457, 2023.
ista: Arroyo Guevara AM, Felsner S. 2023. Approximating the bundled crossing number.
Journal of Graph Algorithms and Applications. 27(6), 433–457.
mla: Arroyo Guevara, Alan M., and Stefan Felsner. “Approximating the Bundled Crossing
Number.” Journal of Graph Algorithms and Applications, vol. 27, no. 6,
Brown University, 2023, pp. 433–57, doi:10.7155/jgaa.00629.
short: A.M. Arroyo Guevara, S. Felsner, Journal of Graph Algorithms and Applications
27 (2023) 433–457.
date_created: 2023-08-06T22:01:11Z
date_published: 2023-07-01T00:00:00Z
date_updated: 2023-09-25T10:56:10Z
day: '01'
ddc:
- '510'
department:
- _id: UlWa
doi: 10.7155/jgaa.00629
ec_funded: 1
external_id:
arxiv:
- '2109.14892'
file:
- access_level: open_access
checksum: 9c30d2b8e324cc1c904f2aeec92013a3
content_type: application/pdf
creator: dernst
date_created: 2023-08-07T08:00:48Z
date_updated: 2023-08-07T08:00:48Z
file_id: '13979'
file_name: 2023_JourGraphAlgorithms_Arroyo.pdf
file_size: 865774
relation: main_file
success: 1
file_date_updated: 2023-08-07T08:00:48Z
has_accepted_license: '1'
intvolume: ' 27'
issue: '6'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: 433-457
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: Journal of Graph Algorithms and Applications
publication_identifier:
issn:
- 1526-1719
publication_status: published
publisher: Brown University
quality_controlled: '1'
related_material:
record:
- id: '11185'
relation: earlier_version
status: public
scopus_import: '1'
status: public
title: Approximating the bundled crossing number
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 27
year: '2023'
...
---
_id: '14344'
abstract:
- lang: eng
text: We study the Hamilton cycle problem with input a random graph G ~ G(n,p) in
two different settings. In the first one, G is given to us in the form of randomly
ordered adjacency lists while in the second one, we are given the adjacency matrix
of G. In each of the two settings we derive a deterministic algorithm that w.h.p.
either finds a Hamilton cycle or returns a certificate that such a cycle does
not exist for p = p(n) ≥ 0. The running times of our algorithms are O(n) and respectively,
each being best possible in its own setting.
article_processing_charge: No
author:
- first_name: Michael
full_name: Anastos, Michael
id: 0b2a4358-bb35-11ec-b7b9-e3279b593dbb
last_name: Anastos
citation:
ama: 'Anastos M. Fast algorithms for solving the Hamilton cycle problem with high
probability. In: Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms.
Vol 2023. Society for Industrial and Applied Mathematics; 2023:2286-2323. doi:10.1137/1.9781611977554.ch88'
apa: 'Anastos, M. (2023). Fast algorithms for solving the Hamilton cycle problem
with high probability. In Proceedings of the Annual ACM-SIAM Symposium on Discrete
Algorithms (Vol. 2023, pp. 2286–2323). Florence, Italy: Society for Industrial
and Applied Mathematics. https://doi.org/10.1137/1.9781611977554.ch88'
chicago: Anastos, Michael. “Fast Algorithms for Solving the Hamilton Cycle Problem
with High Probability.” In Proceedings of the Annual ACM-SIAM Symposium on
Discrete Algorithms, 2023:2286–2323. Society for Industrial and Applied Mathematics,
2023. https://doi.org/10.1137/1.9781611977554.ch88.
ieee: M. Anastos, “Fast algorithms for solving the Hamilton cycle problem with high
probability,” in Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms,
Florence, Italy, 2023, vol. 2023, pp. 2286–2323.
ista: 'Anastos M. 2023. Fast algorithms for solving the Hamilton cycle problem with
high probability. Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms.
SODA: Symposium on Discrete Algorithms vol. 2023, 2286–2323.'
mla: Anastos, Michael. “Fast Algorithms for Solving the Hamilton Cycle Problem with
High Probability.” Proceedings of the Annual ACM-SIAM Symposium on Discrete
Algorithms, vol. 2023, Society for Industrial and Applied Mathematics, 2023,
pp. 2286–323, doi:10.1137/1.9781611977554.ch88.
short: M. Anastos, in:, Proceedings of the Annual ACM-SIAM Symposium on Discrete
Algorithms, Society for Industrial and Applied Mathematics, 2023, pp. 2286–2323.
conference:
end_date: 2023-01-25
location: Florence, Italy
name: 'SODA: Symposium on Discrete Algorithms'
start_date: 2023-01-22
date_created: 2023-09-17T22:01:10Z
date_published: 2023-01-01T00:00:00Z
date_updated: 2023-09-25T09:13:41Z
day: '01'
department:
- _id: MaKw
doi: 10.1137/1.9781611977554.ch88
external_id:
arxiv:
- '2111.14759'
intvolume: ' 2023'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2111.14759
month: '01'
oa: 1
oa_version: Preprint
page: 2286-2323
publication: Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms
publication_identifier:
isbn:
- '9781611977554'
publication_status: published
publisher: Society for Industrial and Applied Mathematics
quality_controlled: '1'
scopus_import: '1'
status: public
title: Fast algorithms for solving the Hamilton cycle problem with high probability
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2023
year: '2023'
...
---
_id: '12710'
abstract:
- lang: eng
text: Surface curvature both emerges from, and influences the behavior of, living
objects at length scales ranging from cell membranes to single cells to tissues
and organs. The relevance of surface curvature in biology is supported by numerous
experimental and theoretical investigations in recent years. In this review, first,
a brief introduction to the key ideas of surface curvature in the context of biological
systems is given and the challenges that arise when measuring surface curvature
are discussed. Giving an overview of the emergence of curvature in biological
systems, its significance at different length scales becomes apparent. On the
other hand, summarizing current findings also shows that both single cells and
entire cell sheets, tissues or organisms respond to curvature by modulating their
shape and their migration behavior. Finally, the interplay between the distribution
of morphogens or micro-organisms and the emergence of curvature across length
scales is addressed with examples demonstrating these key mechanistic principles
of morphogenesis. Overall, this review highlights that curved interfaces are not
merely a passive by-product of the chemical, biological, and mechanical processes
but that curvature acts also as a signal that co-determines these processes.
acknowledgement: B.S. and A.R. contributed equally to this work. A.P.G.C. and P.R.F.
acknowledge the funding from Fundação para a Ciência e Tecnologia (Portugal), through
IDMEC, under LAETA project UIDB/50022/2020. T.H.V.P. acknowledges the funding from
Fundação para a Ciência e Tecnologia (Portugal), through Ph.D. Grant 2020.04417.BD.
A.S. acknowledges that this work was partially supported by the ATTRACT Investigator
Grant (no. A17/MS/11572821/MBRACE, to A.S.) from the Luxembourg National Research
Fund. The author thanks Gerardo Ceada for his help in the graphical representations.
N.A.K. acknowledges support from the European Research Council (grant 851960) and
the Gravitation Program “Materials Driven Regeneration,” funded by the Netherlands
Organization for Scientific Research (024.003.013). M.B.A. acknowledges support
from the French National Research Agency (grant ANR-201-8-CE1-3-0008 for the project
“Epimorph”). G.E.S.T. acknowledges funding by the Australian Research Council through
project DP200102593. A.C. acknowledges the funding from the Deutsche Forschungsgemeinschaft
(DFG) Emmy Noether Grant CI 203/-2 1, the Spanish Ministry of Science and Innovation
(PID2021-123013O-BI00) and the IKERBASQUE Basque Foundation for Science.
article_number: '2206110'
article_processing_charge: No
article_type: review
author:
- first_name: Barbara
full_name: Schamberger, Barbara
last_name: Schamberger
- first_name: Ricardo
full_name: Ziege, Ricardo
last_name: Ziege
- first_name: Karine
full_name: Anselme, Karine
last_name: Anselme
- first_name: Martine
full_name: Ben Amar, Martine
last_name: Ben Amar
- first_name: Michał
full_name: Bykowski, Michał
last_name: Bykowski
- first_name: André P.G.
full_name: Castro, André P.G.
last_name: Castro
- first_name: Amaia
full_name: Cipitria, Amaia
last_name: Cipitria
- first_name: Rhoslyn A.
full_name: Coles, Rhoslyn A.
last_name: Coles
- first_name: Rumiana
full_name: Dimova, Rumiana
last_name: Dimova
- first_name: Michaela
full_name: Eder, Michaela
last_name: Eder
- first_name: Sebastian
full_name: Ehrig, Sebastian
last_name: Ehrig
- first_name: Luis M.
full_name: Escudero, Luis M.
last_name: Escudero
- first_name: Myfanwy E.
full_name: Evans, Myfanwy E.
last_name: Evans
- first_name: Paulo R.
full_name: Fernandes, Paulo R.
last_name: Fernandes
- first_name: Peter
full_name: Fratzl, Peter
last_name: Fratzl
- first_name: Liesbet
full_name: Geris, Liesbet
last_name: Geris
- first_name: Notburga
full_name: Gierlinger, Notburga
last_name: Gierlinger
- first_name: Edouard B
full_name: Hannezo, Edouard B
id: 3A9DB764-F248-11E8-B48F-1D18A9856A87
last_name: Hannezo
orcid: 0000-0001-6005-1561
- first_name: Aleš
full_name: Iglič, Aleš
last_name: Iglič
- first_name: Jacob J.K.
full_name: Kirkensgaard, Jacob J.K.
last_name: Kirkensgaard
- first_name: Philip
full_name: Kollmannsberger, Philip
last_name: Kollmannsberger
- first_name: Łucja
full_name: Kowalewska, Łucja
last_name: Kowalewska
- first_name: Nicholas A.
full_name: Kurniawan, Nicholas A.
last_name: Kurniawan
- first_name: Ioannis
full_name: Papantoniou, Ioannis
last_name: Papantoniou
- first_name: Laurent
full_name: Pieuchot, Laurent
last_name: Pieuchot
- first_name: Tiago H.V.
full_name: Pires, Tiago H.V.
last_name: Pires
- first_name: Lars D.
full_name: Renner, Lars D.
last_name: Renner
- first_name: Andrew O.
full_name: Sageman-Furnas, Andrew O.
last_name: Sageman-Furnas
- first_name: Gerd E.
full_name: Schröder-Turk, Gerd E.
last_name: Schröder-Turk
- first_name: Anupam
full_name: Sengupta, Anupam
last_name: Sengupta
- first_name: Vikas R.
full_name: Sharma, Vikas R.
last_name: Sharma
- first_name: Antonio
full_name: Tagua, Antonio
last_name: Tagua
- first_name: Caterina
full_name: Tomba, Caterina
last_name: Tomba
- first_name: Xavier
full_name: Trepat, Xavier
last_name: Trepat
- first_name: Sarah L.
full_name: Waters, Sarah L.
last_name: Waters
- first_name: Edwina F.
full_name: Yeo, Edwina F.
last_name: Yeo
- first_name: Andreas
full_name: Roschger, Andreas
last_name: Roschger
- first_name: Cécile M.
full_name: Bidan, Cécile M.
last_name: Bidan
- first_name: John W.C.
full_name: Dunlop, John W.C.
last_name: Dunlop
citation:
ama: 'Schamberger B, Ziege R, Anselme K, et al. Curvature in biological systems:
Its quantification, emergence, and implications across the scales. Advanced
Materials. 2023;35(13). doi:10.1002/adma.202206110'
apa: 'Schamberger, B., Ziege, R., Anselme, K., Ben Amar, M., Bykowski, M., Castro,
A. P. G., … Dunlop, J. W. C. (2023). Curvature in biological systems: Its quantification,
emergence, and implications across the scales. Advanced Materials. Wiley.
https://doi.org/10.1002/adma.202206110'
chicago: 'Schamberger, Barbara, Ricardo Ziege, Karine Anselme, Martine Ben Amar,
Michał Bykowski, André P.G. Castro, Amaia Cipitria, et al. “Curvature in Biological
Systems: Its Quantification, Emergence, and Implications across the Scales.” Advanced
Materials. Wiley, 2023. https://doi.org/10.1002/adma.202206110.'
ieee: 'B. Schamberger et al., “Curvature in biological systems: Its quantification,
emergence, and implications across the scales,” Advanced Materials, vol.
35, no. 13. Wiley, 2023.'
ista: 'Schamberger B, Ziege R, Anselme K, Ben Amar M, Bykowski M, Castro APG, Cipitria
A, Coles RA, Dimova R, Eder M, Ehrig S, Escudero LM, Evans ME, Fernandes PR, Fratzl
P, Geris L, Gierlinger N, Hannezo EB, Iglič A, Kirkensgaard JJK, Kollmannsberger
P, Kowalewska Ł, Kurniawan NA, Papantoniou I, Pieuchot L, Pires THV, Renner LD,
Sageman-Furnas AO, Schröder-Turk GE, Sengupta A, Sharma VR, Tagua A, Tomba C,
Trepat X, Waters SL, Yeo EF, Roschger A, Bidan CM, Dunlop JWC. 2023. Curvature
in biological systems: Its quantification, emergence, and implications across
the scales. Advanced Materials. 35(13), 2206110.'
mla: 'Schamberger, Barbara, et al. “Curvature in Biological Systems: Its Quantification,
Emergence, and Implications across the Scales.” Advanced Materials, vol.
35, no. 13, 2206110, Wiley, 2023, doi:10.1002/adma.202206110.'
short: B. Schamberger, R. Ziege, K. Anselme, M. Ben Amar, M. Bykowski, A.P.G. Castro,
A. Cipitria, R.A. Coles, R. Dimova, M. Eder, S. Ehrig, L.M. Escudero, M.E. Evans,
P.R. Fernandes, P. Fratzl, L. Geris, N. Gierlinger, E.B. Hannezo, A. Iglič, J.J.K.
Kirkensgaard, P. Kollmannsberger, Ł. Kowalewska, N.A. Kurniawan, I. Papantoniou,
L. Pieuchot, T.H.V. Pires, L.D. Renner, A.O. Sageman-Furnas, G.E. Schröder-Turk,
A. Sengupta, V.R. Sharma, A. Tagua, C. Tomba, X. Trepat, S.L. Waters, E.F. Yeo,
A. Roschger, C.M. Bidan, J.W.C. Dunlop, Advanced Materials 35 (2023).
date_created: 2023-03-05T23:01:06Z
date_published: 2023-03-29T00:00:00Z
date_updated: 2023-09-26T10:56:46Z
day: '29'
ddc:
- '570'
department:
- _id: EdHa
doi: 10.1002/adma.202206110
external_id:
isi:
- '000941068900001'
pmid:
- '36461812'
file:
- access_level: open_access
checksum: 5c04d68130e97a0ecd1ca27fbc15a246
content_type: application/pdf
creator: dernst
date_created: 2023-09-26T10:51:56Z
date_updated: 2023-09-26T10:51:56Z
file_id: '14373'
file_name: 2023_AdvancedMaterials_Schamberger.pdf
file_size: 2898063
relation: main_file
success: 1
file_date_updated: 2023-09-26T10:51:56Z
has_accepted_license: '1'
intvolume: ' 35'
isi: 1
issue: '13'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
pmid: 1
publication: Advanced Materials
publication_identifier:
eissn:
- 1521-4095
issn:
- 0935-9648
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Curvature in biological systems: Its quantification, emergence, and implications
across the scales'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 35
year: '2023'
...
---
_id: '14377'
abstract:
- lang: eng
text: Coherent flows of self-propelled particles are characterized by vortices and
jets that sustain chaotic flows, referred to as active turbulence. Here, we reveal
a crossover between defect-free active turbulence and active turbulence laden
with topological defects. Interestingly, we show that concurrent to the crossover
from defect-free to defect-laden active turbulence is the restoration of the previously
broken SO(2) symmetry signaled by the fast decay of the two-point correlations.
By stability analyses of the topological charge density field, we provide theoretical
insights on the criterion for the crossover to the defect-laden active turbulent
state. Despite the distinct symmetry features between these two active turbulence
regimes, the flow fluctuations exhibit universal statistical scaling behaviors
at large scales, while the spectrum of polarity fluctuations decays exponentially
at small length scales compared to the active energy injection length. These findings
reveal a dynamical crossover between distinct spatiotemporal organization patterns
in polar active matter.
article_number: '063101'
article_processing_charge: No
article_type: original
author:
- first_name: Benjamin H.
full_name: Andersen, Benjamin H.
last_name: Andersen
- first_name: Julian B
full_name: Renaud, Julian B
id: 7af6767d-14eb-11ed-b536-a32449ae867c
last_name: Renaud
- first_name: Jonas
full_name: Rønning, Jonas
last_name: Rønning
- first_name: Luiza
full_name: Angheluta, Luiza
last_name: Angheluta
- first_name: Amin
full_name: Doostmohammadi, Amin
last_name: Doostmohammadi
citation:
ama: Andersen BH, Renaud JB, Rønning J, Angheluta L, Doostmohammadi A. Symmetry-restoring
crossover from defect-free to defect-laden turbulence in polar active matter.
Physical Review Fluids. 2023;8(6). doi:10.1103/physrevfluids.8.063101
apa: Andersen, B. H., Renaud, J. B., Rønning, J., Angheluta, L., & Doostmohammadi,
A. (2023). Symmetry-restoring crossover from defect-free to defect-laden turbulence
in polar active matter. Physical Review Fluids. American Physical Society.
https://doi.org/10.1103/physrevfluids.8.063101
chicago: Andersen, Benjamin H., Julian B Renaud, Jonas Rønning, Luiza Angheluta,
and Amin Doostmohammadi. “Symmetry-Restoring Crossover from Defect-Free to Defect-Laden
Turbulence in Polar Active Matter.” Physical Review Fluids. American Physical
Society, 2023. https://doi.org/10.1103/physrevfluids.8.063101.
ieee: B. H. Andersen, J. B. Renaud, J. Rønning, L. Angheluta, and A. Doostmohammadi,
“Symmetry-restoring crossover from defect-free to defect-laden turbulence in polar
active matter,” Physical Review Fluids, vol. 8, no. 6. American Physical
Society, 2023.
ista: Andersen BH, Renaud JB, Rønning J, Angheluta L, Doostmohammadi A. 2023. Symmetry-restoring
crossover from defect-free to defect-laden turbulence in polar active matter.
Physical Review Fluids. 8(6), 063101.
mla: Andersen, Benjamin H., et al. “Symmetry-Restoring Crossover from Defect-Free
to Defect-Laden Turbulence in Polar Active Matter.” Physical Review Fluids,
vol. 8, no. 6, 063101, American Physical Society, 2023, doi:10.1103/physrevfluids.8.063101.
short: B.H. Andersen, J.B. Renaud, J. Rønning, L. Angheluta, A. Doostmohammadi,
Physical Review Fluids 8 (2023).
date_created: 2023-09-29T08:46:47Z
date_published: 2023-06-14T00:00:00Z
date_updated: 2023-10-03T07:25:39Z
day: '14'
doi: 10.1103/physrevfluids.8.063101
extern: '1'
external_id:
arxiv:
- '2209.10916'
intvolume: ' 8'
issue: '6'
keyword:
- Fluid Flow and Transfer Processes
- Modeling and Simulation
- Computational Mechanics
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2209.10916
month: '06'
oa: 1
oa_version: Preprint
publication: Physical Review Fluids
publication_identifier:
issn:
- 2469-990X
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Symmetry-restoring crossover from defect-free to defect-laden turbulence in
polar active matter
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 8
year: '2023'
...
---
_id: '13340'
abstract:
- lang: eng
text: Photoisomerization of azobenzenes from their stable E isomer to the metastable
Z state is the basis of numerous applications of these molecules. However, this
reaction typically requires ultraviolet light, which limits applicability. In
this study, we introduce disequilibration by sensitization under confinement (DESC),
a supramolecular approach to induce the E-to-Z isomerization by using light of
a desired color, including red. DESC relies on a combination of a macrocyclic
host and a photosensitizer, which act together to selectively bind and sensitize
E-azobenzenes for isomerization. The Z isomer lacks strong affinity for and is
expelled from the host, which can then convert additional E-azobenzenes to the
Z state. In this way, the host–photosensitizer complex converts photon energy
into chemical energy in the form of out-of-equilibrium photostationary states,
including ones that cannot be accessed through direct photoexcitation.
acknowledgement: We acknowledge funding from the European Union’s Horizon 2020 Research
and Innovation Program [European Research Council grants 820008 (Ra.K.) and 101045223
(A.P.) and Marie Skłodowska-Curie grants 812868 (J.G.) and 101022777 (T.-P.R.)],
the Academy of Finland [Center of Excellence Programme LIBER grant 346107 (A.P.),
Flagship Programme PREIN grant 320165 (A.P.), and Postdoctoral Researcher grant
340103 (T.-P.R.)], Zuckerman STEM Leadership Program Fellowship (J.R.C.), President’s
PhD Scholarship (M.O.), and the EPSRC [Established Career Fellowship grant EP/R00188X/1
(M.J.F.)].
article_processing_charge: No
article_type: original
author:
- first_name: Julius
full_name: Gemen, Julius
last_name: Gemen
- first_name: Jonathan R.
full_name: Church, Jonathan R.
last_name: Church
- first_name: Tero-Petri
full_name: Ruoko, Tero-Petri
last_name: Ruoko
- first_name: Nikita
full_name: Durandin, Nikita
last_name: Durandin
- first_name: Michał J.
full_name: Białek, Michał J.
last_name: Białek
- first_name: Maren
full_name: Weissenfels, Maren
last_name: Weissenfels
- first_name: Moran
full_name: Feller, Moran
last_name: Feller
- first_name: Miri
full_name: Kazes, Miri
last_name: Kazes
- first_name: Veniamin A.
full_name: Borin, Veniamin A.
last_name: Borin
- first_name: Magdalena
full_name: Odaybat, Magdalena
last_name: Odaybat
- first_name: Rishir
full_name: Kalepu, Rishir
last_name: Kalepu
- first_name: Yael
full_name: Diskin-Posner, Yael
last_name: Diskin-Posner
- first_name: Dan
full_name: Oron, Dan
last_name: Oron
- first_name: Matthew J.
full_name: Fuchter, Matthew J.
last_name: Fuchter
- first_name: Arri
full_name: Priimagi, Arri
last_name: Priimagi
- first_name: Igor
full_name: Schapiro, Igor
last_name: Schapiro
- first_name: Rafal
full_name: Klajn, Rafal
id: 8e84690e-1e48-11ed-a02b-a1e6fb8bb53b
last_name: Klajn
citation:
ama: Gemen J, Church JR, Ruoko T-P, et al. Disequilibrating azoarenes by visible-light
sensitization under confinement. Science. 2023;381(6664):1357-1363. doi:10.1126/science.adh9059
apa: Gemen, J., Church, J. R., Ruoko, T.-P., Durandin, N., Białek, M. J., Weissenfels,
M., … Klajn, R. (2023). Disequilibrating azoarenes by visible-light sensitization
under confinement. Science. American Association for the Advancement of
Science. https://doi.org/10.1126/science.adh9059
chicago: Gemen, Julius, Jonathan R. Church, Tero-Petri Ruoko, Nikita Durandin, Michał
J. Białek, Maren Weissenfels, Moran Feller, et al. “Disequilibrating Azoarenes
by Visible-Light Sensitization under Confinement.” Science. American Association
for the Advancement of Science, 2023. https://doi.org/10.1126/science.adh9059.
ieee: J. Gemen et al., “Disequilibrating azoarenes by visible-light sensitization
under confinement,” Science, vol. 381, no. 6664. American Association for
the Advancement of Science, pp. 1357–1363, 2023.
ista: Gemen J, Church JR, Ruoko T-P, Durandin N, Białek MJ, Weissenfels M, Feller
M, Kazes M, Borin VA, Odaybat M, Kalepu R, Diskin-Posner Y, Oron D, Fuchter MJ,
Priimagi A, Schapiro I, Klajn R. 2023. Disequilibrating azoarenes by visible-light
sensitization under confinement. Science. 381(6664), 1357–1363.
mla: Gemen, Julius, et al. “Disequilibrating Azoarenes by Visible-Light Sensitization
under Confinement.” Science, vol. 381, no. 6664, American Association for
the Advancement of Science, 2023, pp. 1357–63, doi:10.1126/science.adh9059.
short: J. Gemen, J.R. Church, T.-P. Ruoko, N. Durandin, M.J. Białek, M. Weissenfels,
M. Feller, M. Kazes, V.A. Borin, M. Odaybat, R. Kalepu, Y. Diskin-Posner, D. Oron,
M.J. Fuchter, A. Priimagi, I. Schapiro, R. Klajn, Science 381 (2023) 1357–1363.
date_created: 2023-08-01T08:26:15Z
date_published: 2023-09-22T00:00:00Z
date_updated: 2023-10-03T08:11:26Z
day: '22'
department:
- _id: RaKl
doi: 10.1126/science.adh9059
intvolume: ' 381'
issue: '6664'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.26434/chemrxiv-2023-gq2h0
month: '09'
oa: 1
oa_version: Preprint
page: 1357-1363
publication: Science
publication_identifier:
eissn:
- 1095-9203
publication_status: published
publisher: American Association for the Advancement of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: Disequilibrating azoarenes by visible-light sensitization under confinement
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 381
year: '2023'
...
---
_id: '12705'
abstract:
- lang: eng
text: The elasticity of disordered and polydisperse polymer networks is a fundamental
problem of soft matter physics that is still open. Here, we self-assemble polymer
networks via simulations of a mixture of bivalent and tri- or tetravalent patchy
particles, which result in an exponential strand length distribution analogous
to that of experimental randomly cross-linked systems. After assembly, the network
connectivity and topology are frozen and the resulting system is characterized.
We find that the fractal structure of the network depends on the number density
at which the assembly has been carried out, but that systems with the same mean
valence and same assembly density have the same structural properties. Moreover,
we compute the long-time limit of the mean-squared displacement, also known as
the (squared) localization length, of the cross-links and of the middle monomers
of the strands, showing that the dynamics of long strands is well described by
the tube model. Finally, we find a relation connecting these two localization
lengths at high density and connect the cross-link localization length to the
shear modulus of the system.
acknowledgement: We thank Michael Lang for helpful discussions. We acknowledge financial
support from the European Research Council (ERC Consolidator Grant No. 681597, MIMIC)
and from LabEx NUMEV (Grant No. ANR-10-LABX-20) funded by the “Investissements d’Avenir”
French Government program, managed by the French National Research Agency (ANR).
W.K. is a senior member of the Institut Universitaire de France.
article_number: '074905'
article_processing_charge: No
article_type: original
author:
- first_name: Valerio
full_name: Sorichetti, Valerio
id: ef8a92cb-c7b6-11ec-8bea-e1fd5847bc5b
last_name: Sorichetti
orcid: 0000-0002-9645-6576
- first_name: Andrea
full_name: Ninarello, Andrea
last_name: Ninarello
- first_name: José
full_name: Ruiz-Franco, José
last_name: Ruiz-Franco
- first_name: Virginie
full_name: Hugouvieux, Virginie
last_name: Hugouvieux
- first_name: Emanuela
full_name: Zaccarelli, Emanuela
last_name: Zaccarelli
- first_name: Cristian
full_name: Micheletti, Cristian
last_name: Micheletti
- first_name: Walter
full_name: Kob, Walter
last_name: Kob
- first_name: Lorenzo
full_name: Rovigatti, Lorenzo
last_name: Rovigatti
citation:
ama: Sorichetti V, Ninarello A, Ruiz-Franco J, et al. Structure and elasticity of
model disordered, polydisperse, and defect-free polymer networks. Journal of
Chemical Physics. 2023;158(7). doi:10.1063/5.0134271
apa: Sorichetti, V., Ninarello, A., Ruiz-Franco, J., Hugouvieux, V., Zaccarelli,
E., Micheletti, C., … Rovigatti, L. (2023). Structure and elasticity of model
disordered, polydisperse, and defect-free polymer networks. Journal of Chemical
Physics. American Institute of Physics. https://doi.org/10.1063/5.0134271
chicago: Sorichetti, Valerio, Andrea Ninarello, José Ruiz-Franco, Virginie Hugouvieux,
Emanuela Zaccarelli, Cristian Micheletti, Walter Kob, and Lorenzo Rovigatti. “Structure
and Elasticity of Model Disordered, Polydisperse, and Defect-Free Polymer Networks.”
Journal of Chemical Physics. American Institute of Physics, 2023. https://doi.org/10.1063/5.0134271.
ieee: V. Sorichetti et al., “Structure and elasticity of model disordered,
polydisperse, and defect-free polymer networks,” Journal of Chemical Physics,
vol. 158, no. 7. American Institute of Physics, 2023.
ista: Sorichetti V, Ninarello A, Ruiz-Franco J, Hugouvieux V, Zaccarelli E, Micheletti
C, Kob W, Rovigatti L. 2023. Structure and elasticity of model disordered, polydisperse,
and defect-free polymer networks. Journal of Chemical Physics. 158(7), 074905.
mla: Sorichetti, Valerio, et al. “Structure and Elasticity of Model Disordered,
Polydisperse, and Defect-Free Polymer Networks.” Journal of Chemical Physics,
vol. 158, no. 7, 074905, American Institute of Physics, 2023, doi:10.1063/5.0134271.
short: V. Sorichetti, A. Ninarello, J. Ruiz-Franco, V. Hugouvieux, E. Zaccarelli,
C. Micheletti, W. Kob, L. Rovigatti, Journal of Chemical Physics 158 (2023).
date_created: 2023-03-05T23:01:05Z
date_published: 2023-02-21T00:00:00Z
date_updated: 2023-10-03T11:31:51Z
day: '21'
department:
- _id: AnSa
doi: 10.1063/5.0134271
external_id:
arxiv:
- '2211.04810'
isi:
- '000936943800002'
pmid:
- '36813705'
intvolume: ' 158'
isi: 1
issue: '7'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2211.04810
month: '02'
oa: 1
oa_version: Preprint
pmid: 1
publication: Journal of Chemical Physics
publication_identifier:
eissn:
- 1089-7690
issn:
- 0021-9606
publication_status: published
publisher: American Institute of Physics
quality_controlled: '1'
scopus_import: '1'
status: public
title: Structure and elasticity of model disordered, polydisperse, and defect-free
polymer networks
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 158
year: '2023'
...
---
_id: '12738'
abstract:
- lang: eng
text: We study turn-based stochastic zero-sum games with lexicographic preferences
over objectives. Stochastic games are standard models in control, verification,
and synthesis of stochastic reactive systems that exhibit both randomness as well
as controllable and adversarial non-determinism. Lexicographic order allows one
to consider multiple objectives with a strict preference order. To the best of
our knowledge, stochastic games with lexicographic objectives have not been studied
before. For a mixture of reachability and safety objectives, we show that deterministic
lexicographically optimal strategies exist and memory is only required to remember
the already satisfied and violated objectives. For a constant number of objectives,
we show that the relevant decision problem is in NP∩coNP, matching the current
known bound for single objectives; and in general the decision problem is PSPACE-hard
and can be solved in NEXPTIME∩coNEXPTIME. We present an algorithm that computes
the lexicographically optimal strategies via a reduction to the computation of
optimal strategies in a sequence of single-objectives games. For omega-regular
objectives, we restrict our analysis to one-player games, also known as Markov
decision processes. We show that lexicographically optimal strategies exist and
need either randomization or finite memory. We present an algorithm that solves
the relevant decision problem in polynomial time. We have implemented our algorithms
and report experimental results on various case studies.
acknowledgement: Tobias Winkler and Joost-Pieter Katoen are supported by the DFG RTG
2236 UnRAVeL and the innovation programme under the Marie Skłodowska-Curie grant
agreement No. 101008233 (Mission). Krishnendu Chatterjee is supported by the ERC
CoG 863818 (ForM-SMArt) and the Vienna Science and Technology Fund (WWTF) Project
ICT15-003. Maximilian Weininger is supported by the DFG projects 383882557 Statistical
Unbounded Verification (SUV) and 427755713 Group-By Objectives in Probabilistic
Verification (GOPro). Stefanie Mohr is supported by the DFG RTG 2428 CONVEY. Open
Access funding enabled and organized by Projekt DEAL.
article_processing_charge: No
article_type: original
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Joost P
full_name: Katoen, Joost P
id: 4524F760-F248-11E8-B48F-1D18A9856A87
last_name: Katoen
- first_name: Stefanie
full_name: Mohr, Stefanie
last_name: Mohr
- first_name: Maximilian
full_name: Weininger, Maximilian
last_name: Weininger
- first_name: Tobias
full_name: Winkler, Tobias
last_name: Winkler
citation:
ama: Chatterjee K, Katoen JP, Mohr S, Weininger M, Winkler T. Stochastic games with
lexicographic objectives. Formal Methods in System Design. 2023. doi:10.1007/s10703-023-00411-4
apa: Chatterjee, K., Katoen, J. P., Mohr, S., Weininger, M., & Winkler, T. (2023).
Stochastic games with lexicographic objectives. Formal Methods in System Design.
Springer Nature. https://doi.org/10.1007/s10703-023-00411-4
chicago: Chatterjee, Krishnendu, Joost P Katoen, Stefanie Mohr, Maximilian Weininger,
and Tobias Winkler. “Stochastic Games with Lexicographic Objectives.” Formal
Methods in System Design. Springer Nature, 2023. https://doi.org/10.1007/s10703-023-00411-4.
ieee: K. Chatterjee, J. P. Katoen, S. Mohr, M. Weininger, and T. Winkler, “Stochastic
games with lexicographic objectives,” Formal Methods in System Design.
Springer Nature, 2023.
ista: Chatterjee K, Katoen JP, Mohr S, Weininger M, Winkler T. 2023. Stochastic
games with lexicographic objectives. Formal Methods in System Design.
mla: Chatterjee, Krishnendu, et al. “Stochastic Games with Lexicographic Objectives.”
Formal Methods in System Design, Springer Nature, 2023, doi:10.1007/s10703-023-00411-4.
short: K. Chatterjee, J.P. Katoen, S. Mohr, M. Weininger, T. Winkler, Formal Methods
in System Design (2023).
date_created: 2023-03-19T23:00:59Z
date_published: 2023-03-08T00:00:00Z
date_updated: 2023-10-03T11:36:13Z
day: '08'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1007/s10703-023-00411-4
ec_funded: 1
external_id:
isi:
- '000946174300001'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1007/s10703-023-00411-4
month: '03'
oa: 1
oa_version: Published Version
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 25892FC0-B435-11E9-9278-68D0E5697425
grant_number: ICT15-003
name: Efficient Algorithms for Computer Aided Verification
publication: Formal Methods in System Design
publication_identifier:
eissn:
- 1572-8102
publication_status: epub_ahead
publisher: Springer Nature
quality_controlled: '1'
related_material:
record:
- id: '8272'
relation: earlier_version
status: public
scopus_import: '1'
status: public
title: Stochastic games with lexicographic objectives
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14279'
abstract:
- lang: eng
text: "The zip file includes source data used in the manuscript \"CCR7 acts as both
a sensor and a sink for CCL19 to coordinate collective leukocyte migration\",
as well as a representative Jupyter notebook to reproduce the main figures. Please
see the preprint on bioRxiv and the DOI link there to access the final published
version. Note the title change between the preprint and the published manuscript.\r\nA
sample script for particle-based simulations of collective chemotaxis by self-generated
gradients is also included (see Self-generated_chemotaxis_sample_script.ipynb)
to generate exemplary cell trajectories. A detailed description of the simulation
setup is provided in the supplementary information of the manuscipt."
article_processing_charge: No
author:
- first_name: Mehmet C
full_name: Ucar, Mehmet C
id: 50B2A802-6007-11E9-A42B-EB23E6697425
last_name: Ucar
orcid: 0000-0003-0506-4217
citation:
ama: Ucar MC. Source data for the manuscript “CCR7 acts as both a sensor and a sink
for CCL19 to coordinate collective leukocyte migration.” 2023. doi:10.5281/ZENODO.8133960
apa: Ucar, M. C. (2023). Source data for the manuscript “CCR7 acts as both a sensor
and a sink for CCL19 to coordinate collective leukocyte migration.” Zenodo. https://doi.org/10.5281/ZENODO.8133960
chicago: Ucar, Mehmet C. “Source Data for the Manuscript ‘CCR7 Acts as Both a Sensor
and a Sink for CCL19 to Coordinate Collective Leukocyte Migration.’” Zenodo, 2023.
https://doi.org/10.5281/ZENODO.8133960.
ieee: M. C. Ucar, “Source data for the manuscript ‘CCR7 acts as both a sensor and
a sink for CCL19 to coordinate collective leukocyte migration.’” Zenodo, 2023.
ista: Ucar MC. 2023. Source data for the manuscript ‘CCR7 acts as both a sensor
and a sink for CCL19 to coordinate collective leukocyte migration’, Zenodo, 10.5281/ZENODO.8133960.
mla: Ucar, Mehmet C. Source Data for the Manuscript “CCR7 Acts as Both a Sensor
and a Sink for CCL19 to Coordinate Collective Leukocyte Migration.” Zenodo,
2023, doi:10.5281/ZENODO.8133960.
short: M.C. Ucar, (2023).
date_created: 2023-09-06T08:39:25Z
date_published: 2023-07-11T00:00:00Z
date_updated: 2023-10-03T11:42:58Z
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month: '07'
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publisher: Zenodo
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status: public
title: Source data for the manuscript "CCR7 acts as both a sensor and a sink for CCL19
to coordinate collective leukocyte migration"
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---
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abstract:
- lang: eng
text: 'We consider large non-Hermitian random matrices X with complex, independent,
identically distributed centred entries and show that the linear statistics of
their eigenvalues are asymptotically Gaussian for test functions having 2+ϵ derivatives.
Previously this result was known only for a few special cases; either the test
functions were required to be analytic [72], or the distribution of the matrix
elements needed to be Gaussian [73], or at least match the Gaussian up to the
first four moments [82, 56]. We find the exact dependence of the limiting variance
on the fourth cumulant that was not known before. The proof relies on two novel
ingredients: (i) a local law for a product of two resolvents of the Hermitisation
of X with different spectral parameters and (ii) a coupling of several weakly
dependent Dyson Brownian motions. These methods are also the key inputs for our
analogous results on the linear eigenvalue statistics of real matrices X that
are presented in the companion paper [32]. '
acknowledgement: L.E. would like to thank Nathanaël Berestycki and D.S.would like
to thank Nina Holden for valuable discussions on the Gaussian freefield.G.C. and
L.E. are partially supported by ERC Advanced Grant No. 338804.G.C. received funding
from the European Union’s Horizon 2020 research and in-novation programme under
the Marie Skłodowska-Curie Grant Agreement No.665385. D.S. is supported by Dr. Max
Rössler, the Walter Haefner Foundation, and the ETH Zürich Foundation.
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Giorgio
full_name: Cipolloni, Giorgio
id: 42198EFA-F248-11E8-B48F-1D18A9856A87
last_name: Cipolloni
orcid: 0000-0002-4901-7992
- first_name: László
full_name: Erdös, László
id: 4DBD5372-F248-11E8-B48F-1D18A9856A87
last_name: Erdös
orcid: 0000-0001-5366-9603
- first_name: Dominik J
full_name: Schröder, Dominik J
id: 408ED176-F248-11E8-B48F-1D18A9856A87
last_name: Schröder
orcid: 0000-0002-2904-1856
citation:
ama: Cipolloni G, Erdös L, Schröder DJ. Central limit theorem for linear eigenvalue
statistics of non-Hermitian random matrices. Communications on Pure and Applied
Mathematics. 2023;76(5):946-1034. doi:10.1002/cpa.22028
apa: Cipolloni, G., Erdös, L., & Schröder, D. J. (2023). Central limit theorem
for linear eigenvalue statistics of non-Hermitian random matrices. Communications
on Pure and Applied Mathematics. Wiley. https://doi.org/10.1002/cpa.22028
chicago: Cipolloni, Giorgio, László Erdös, and Dominik J Schröder. “Central Limit
Theorem for Linear Eigenvalue Statistics of Non-Hermitian Random Matrices.” Communications
on Pure and Applied Mathematics. Wiley, 2023. https://doi.org/10.1002/cpa.22028.
ieee: G. Cipolloni, L. Erdös, and D. J. Schröder, “Central limit theorem for linear
eigenvalue statistics of non-Hermitian random matrices,” Communications on
Pure and Applied Mathematics, vol. 76, no. 5. Wiley, pp. 946–1034, 2023.
ista: Cipolloni G, Erdös L, Schröder DJ. 2023. Central limit theorem for linear
eigenvalue statistics of non-Hermitian random matrices. Communications on Pure
and Applied Mathematics. 76(5), 946–1034.
mla: Cipolloni, Giorgio, et al. “Central Limit Theorem for Linear Eigenvalue Statistics
of Non-Hermitian Random Matrices.” Communications on Pure and Applied Mathematics,
vol. 76, no. 5, Wiley, 2023, pp. 946–1034, doi:10.1002/cpa.22028.
short: G. Cipolloni, L. Erdös, D.J. Schröder, Communications on Pure and Applied
Mathematics 76 (2023) 946–1034.
date_created: 2021-12-05T23:01:41Z
date_published: 2023-05-01T00:00:00Z
date_updated: 2023-10-04T09:22:55Z
day: '01'
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department:
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doi: 10.1002/cpa.22028
ec_funded: 1
external_id:
arxiv:
- '1912.04100'
isi:
- '000724652500001'
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date_updated: 2023-10-04T09:21:48Z
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language:
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license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '05'
oa: 1
oa_version: Published Version
page: 946-1034
project:
- _id: 258DCDE6-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '338804'
name: Random matrices, universality and disordered quantum systems
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: Communications on Pure and Applied Mathematics
publication_identifier:
eissn:
- 1097-0312
issn:
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title: Central limit theorem for linear eigenvalue statistics of non-Hermitian random
matrices
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