---
_id: '6240'
abstract:
- lang: eng
text: For a general class of large non-Hermitian random block matrices X we prove
that there are no eigenvalues away from a deterministic set with very high probability.
This set is obtained from the Dyson equation of the Hermitization of X as the
self-consistent approximation of the pseudospectrum. We demonstrate that the analysis
of the matrix Dyson equation from (Probab. Theory Related Fields (2018)) offers
a unified treatment of many structured matrix ensembles.
article_processing_charge: No
author:
- first_name: Johannes
full_name: Alt, Johannes
id: 36D3D8B6-F248-11E8-B48F-1D18A9856A87
last_name: Alt
- first_name: László
full_name: Erdös, László
id: 4DBD5372-F248-11E8-B48F-1D18A9856A87
last_name: Erdös
orcid: 0000-0001-5366-9603
- first_name: Torben H
full_name: Krüger, Torben H
id: 3020C786-F248-11E8-B48F-1D18A9856A87
last_name: Krüger
orcid: 0000-0002-4821-3297
- first_name: Yuriy
full_name: Nemish, Yuriy
id: 4D902E6A-F248-11E8-B48F-1D18A9856A87
last_name: Nemish
orcid: 0000-0002-7327-856X
citation:
ama: Alt J, Erdös L, Krüger TH, Nemish Y. Location of the spectrum of Kronecker
random matrices. Annales de l’institut Henri Poincare. 2019;55(2):661-696.
doi:10.1214/18-AIHP894
apa: Alt, J., Erdös, L., Krüger, T. H., & Nemish, Y. (2019). Location of the
spectrum of Kronecker random matrices. Annales de l’institut Henri Poincare.
Institut Henri Poincaré. https://doi.org/10.1214/18-AIHP894
chicago: Alt, Johannes, László Erdös, Torben H Krüger, and Yuriy Nemish. “Location
of the Spectrum of Kronecker Random Matrices.” Annales de l’institut Henri
Poincare. Institut Henri Poincaré, 2019. https://doi.org/10.1214/18-AIHP894.
ieee: J. Alt, L. Erdös, T. H. Krüger, and Y. Nemish, “Location of the spectrum of
Kronecker random matrices,” Annales de l’institut Henri Poincare, vol.
55, no. 2. Institut Henri Poincaré, pp. 661–696, 2019.
ista: Alt J, Erdös L, Krüger TH, Nemish Y. 2019. Location of the spectrum of Kronecker
random matrices. Annales de l’institut Henri Poincare. 55(2), 661–696.
mla: Alt, Johannes, et al. “Location of the Spectrum of Kronecker Random Matrices.”
Annales de l’institut Henri Poincare, vol. 55, no. 2, Institut Henri Poincaré,
2019, pp. 661–96, doi:10.1214/18-AIHP894.
short: J. Alt, L. Erdös, T.H. Krüger, Y. Nemish, Annales de l’institut Henri Poincare
55 (2019) 661–696.
date_created: 2019-04-08T14:05:04Z
date_published: 2019-05-01T00:00:00Z
date_updated: 2023-10-17T12:20:20Z
day: '01'
department:
- _id: LaEr
doi: 10.1214/18-AIHP894
ec_funded: 1
external_id:
arxiv:
- '1706.08343'
isi:
- '000467793600003'
intvolume: ' 55'
isi: 1
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1706.08343
month: '05'
oa: 1
oa_version: Preprint
page: 661-696
project:
- _id: 258DCDE6-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '338804'
name: Random matrices, universality and disordered quantum systems
publication: Annales de l'institut Henri Poincare
publication_identifier:
issn:
- 0246-0203
publication_status: published
publisher: Institut Henri Poincaré
quality_controlled: '1'
related_material:
record:
- id: '149'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Location of the spectrum of Kronecker random matrices
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 55
year: '2019'
...
---
_id: '7399'
abstract:
- lang: eng
text: Long non-coding (lnc) RNAs are numerous and found throughout the mammalian
genome, and many are thought to be involved in the regulation of gene expression.
However, the majority remain relatively uncharacterised and of uncertain function
making the use of model systems to uncover their mode of action valuable. Imprinted
lncRNAs target and recruit epigenetic silencing factors to a cluster of imprinted
genes on the same chromosome, making them one of the best characterized lncRNAs
for silencing distant genes in cis. In this study we examined silencing of the
distant imprinted gene Slc22a3 by the lncRNA Airn in the Igf2r imprinted cluster
in mouse. Previously we proposed that imprinted lncRNAs may silence distant imprinted
genes by disrupting promoter-enhancer interactions by being transcribed through
the enhancer, which we called the enhancer interference hypothesis. Here we tested
this hypothesis by first using allele-specific chromosome conformation capture
(3C) to detect interactions between the Slc22a3 promoter and the locus of the
Airn lncRNA that silences it on the paternal chromosome. In agreement with the
model, we found interactions enriched on the maternal allele across the entire
Airn gene consistent with multiple enhancer-promoter interactions. Therefore,
to test the enhancer interference hypothesis we devised an approach to delete
the entire Airn gene. However, the deletion showed that there are no essential
enhancers for Slc22a2, Pde10a and Slc22a3 within the Airn gene, strongly indicating
that the Airn RNA rather than its transcription is responsible for silencing distant
imprinted genes. Furthermore, we found that silent imprinted genes were covered
with large blocks of H3K27me3 on the repressed paternal allele. Therefore we propose
an alternative hypothesis whereby the chromosome interactions may initially guide
the lncRNA to target imprinted promoters and recruit repressive chromatin, and
that these interactions are lost once silencing is established.
article_number: e1008268
article_processing_charge: No
article_type: original
author:
- first_name: Daniel
full_name: Andergassen, Daniel
last_name: Andergassen
- first_name: Markus
full_name: Muckenhuber, Markus
last_name: Muckenhuber
- first_name: Philipp C.
full_name: Bammer, Philipp C.
last_name: Bammer
- first_name: Tomasz M.
full_name: Kulinski, Tomasz M.
last_name: Kulinski
- first_name: Hans-Christian
full_name: Theussl, Hans-Christian
last_name: Theussl
- first_name: Takahiko
full_name: Shimizu, Takahiko
last_name: Shimizu
- first_name: Josef M.
full_name: Penninger, Josef M.
last_name: Penninger
- first_name: Florian
full_name: Pauler, Florian
id: 48EA0138-F248-11E8-B48F-1D18A9856A87
last_name: Pauler
orcid: 0000-0002-7462-0048
- first_name: Quanah J.
full_name: Hudson, Quanah J.
last_name: Hudson
citation:
ama: Andergassen D, Muckenhuber M, Bammer PC, et al. The Airn lncRNA does not require
any DNA elements within its locus to silence distant imprinted genes. PLoS
Genetics. 2019;15(7). doi:10.1371/journal.pgen.1008268
apa: Andergassen, D., Muckenhuber, M., Bammer, P. C., Kulinski, T. M., Theussl,
H.-C., Shimizu, T., … Hudson, Q. J. (2019). The Airn lncRNA does not require any
DNA elements within its locus to silence distant imprinted genes. PLoS Genetics.
Public Library of Science. https://doi.org/10.1371/journal.pgen.1008268
chicago: Andergassen, Daniel, Markus Muckenhuber, Philipp C. Bammer, Tomasz M. Kulinski,
Hans-Christian Theussl, Takahiko Shimizu, Josef M. Penninger, Florian Pauler,
and Quanah J. Hudson. “The Airn LncRNA Does Not Require Any DNA Elements within
Its Locus to Silence Distant Imprinted Genes.” PLoS Genetics. Public Library
of Science, 2019. https://doi.org/10.1371/journal.pgen.1008268.
ieee: D. Andergassen et al., “The Airn lncRNA does not require any DNA elements
within its locus to silence distant imprinted genes,” PLoS Genetics, vol.
15, no. 7. Public Library of Science, 2019.
ista: Andergassen D, Muckenhuber M, Bammer PC, Kulinski TM, Theussl H-C, Shimizu
T, Penninger JM, Pauler F, Hudson QJ. 2019. The Airn lncRNA does not require any
DNA elements within its locus to silence distant imprinted genes. PLoS Genetics.
15(7), e1008268.
mla: Andergassen, Daniel, et al. “The Airn LncRNA Does Not Require Any DNA Elements
within Its Locus to Silence Distant Imprinted Genes.” PLoS Genetics, vol.
15, no. 7, e1008268, Public Library of Science, 2019, doi:10.1371/journal.pgen.1008268.
short: D. Andergassen, M. Muckenhuber, P.C. Bammer, T.M. Kulinski, H.-C. Theussl,
T. Shimizu, J.M. Penninger, F. Pauler, Q.J. Hudson, PLoS Genetics 15 (2019).
date_created: 2020-01-29T16:14:07Z
date_published: 2019-07-22T00:00:00Z
date_updated: 2023-10-17T12:30:27Z
day: '22'
ddc:
- '570'
department:
- _id: SiHi
doi: 10.1371/journal.pgen.1008268
external_id:
isi:
- '000478689100025'
pmid:
- '31329595'
file:
- access_level: open_access
checksum: 2f51fc91e4a4199827adc51d432ad864
content_type: application/pdf
creator: dernst
date_created: 2020-02-04T10:11:55Z
date_updated: 2020-07-14T12:47:57Z
file_id: '7446'
file_name: 2019_PlosGenetics_Andergassen.pdf
file_size: 2302307
relation: main_file
file_date_updated: 2020-07-14T12:47:57Z
has_accepted_license: '1'
intvolume: ' 15'
isi: 1
issue: '7'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '07'
oa: 1
oa_version: Published Version
pmid: 1
publication: PLoS Genetics
publication_identifier:
issn:
- 1553-7404
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: The Airn lncRNA does not require any DNA elements within its locus to silence
distant imprinted genes
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: '2019'
...
---
_id: '7103'
abstract:
- lang: eng
text: Origin and functions of intermittent transitions among sleep stages, including
short awakenings and arousals, constitute a challenge to the current homeostatic
framework for sleep regulation, focusing on factors modulating sleep over large
time scales. Here we propose that the complex micro-architecture characterizing
the sleep-wake cycle results from an underlying non-equilibrium critical dynamics,
bridging collective behaviors across spatio-temporal scales. We investigate θ
and δ wave dynamics in control rats and in rats with lesions of sleep-promoting
neurons in the parafacial zone. We demonstrate that intermittent bursts in θ and
δ rhythms exhibit a complex temporal organization, with long-range power-law correlations
and a robust duality of power law (θ-bursts, active phase) and exponential-like
(δ-bursts, quiescent phase) duration distributions, typical features of non-equilibrium
systems self-organizing at criticality. Crucially, such temporal organization
relates to anti-correlated coupling between θ- and δ-bursts, and is independent
of the dominant physiologic state and lesions, a solid indication of a basic principle
in sleep dynamics.
article_number: e1007268
article_processing_charge: No
article_type: original
author:
- first_name: Jilin W. J. L.
full_name: Wang, Jilin W. J. L.
last_name: Wang
- first_name: Fabrizio
full_name: Lombardi, Fabrizio
id: A057D288-3E88-11E9-986D-0CF4E5697425
last_name: Lombardi
orcid: 0000-0003-2623-5249
- first_name: Xiyun
full_name: Zhang, Xiyun
last_name: Zhang
- first_name: Christelle
full_name: Anaclet, Christelle
last_name: Anaclet
- first_name: Plamen Ch.
full_name: Ivanov, Plamen Ch.
last_name: Ivanov
citation:
ama: Wang JWJL, Lombardi F, Zhang X, Anaclet C, Ivanov PC. Non-equilibrium critical
dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and
wake micro-architecture. PLoS Computational Biology. 2019;15(11). doi:10.1371/journal.pcbi.1007268
apa: Wang, J. W. J. L., Lombardi, F., Zhang, X., Anaclet, C., & Ivanov, P. C.
(2019). Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental
characteristic of sleep and wake micro-architecture. PLoS Computational Biology.
Public Library of Science. https://doi.org/10.1371/journal.pcbi.1007268
chicago: Wang, Jilin W. J. L., Fabrizio Lombardi, Xiyun Zhang, Christelle Anaclet,
and Plamen Ch. Ivanov. “Non-Equilibrium Critical Dynamics of Bursts in θ and δ
Rhythms as Fundamental Characteristic of Sleep and Wake Micro-Architecture.” PLoS
Computational Biology. Public Library of Science, 2019. https://doi.org/10.1371/journal.pcbi.1007268.
ieee: J. W. J. L. Wang, F. Lombardi, X. Zhang, C. Anaclet, and P. C. Ivanov, “Non-equilibrium
critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of
sleep and wake micro-architecture,” PLoS Computational Biology, vol. 15,
no. 11. Public Library of Science, 2019.
ista: Wang JWJL, Lombardi F, Zhang X, Anaclet C, Ivanov PC. 2019. Non-equilibrium
critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of
sleep and wake micro-architecture. PLoS Computational Biology. 15(11), e1007268.
mla: Wang, Jilin W. J. L., et al. “Non-Equilibrium Critical Dynamics of Bursts in
θ and δ Rhythms as Fundamental Characteristic of Sleep and Wake Micro-Architecture.”
PLoS Computational Biology, vol. 15, no. 11, e1007268, Public Library of
Science, 2019, doi:10.1371/journal.pcbi.1007268.
short: J.W.J.L. Wang, F. Lombardi, X. Zhang, C. Anaclet, P.C. Ivanov, PLoS Computational
Biology 15 (2019).
date_created: 2019-11-25T08:20:47Z
date_published: 2019-11-01T00:00:00Z
date_updated: 2023-10-17T12:30:07Z
day: '01'
ddc:
- '570'
- '000'
department:
- _id: GaTk
doi: 10.1371/journal.pcbi.1007268
ec_funded: 1
external_id:
isi:
- '000500976100014'
pmid:
- '31725712'
file:
- access_level: open_access
checksum: 2a096a9c6dcc6eaa94077b2603bc6c12
content_type: application/pdf
creator: dernst
date_created: 2019-11-25T08:24:01Z
date_updated: 2020-07-14T12:47:49Z
file_id: '7104'
file_name: 2019_PLOSComBio_Wang.pdf
file_size: 3982516
relation: main_file
file_date_updated: 2020-07-14T12:47:49Z
has_accepted_license: '1'
intvolume: ' 15'
isi: 1
issue: '11'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: PLoS Computational Biology
publication_identifier:
issn:
- 1553-7358
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental
characteristic of sleep and wake micro-architecture
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: '2019'
...
---
_id: '6569'
abstract:
- lang: eng
text: 'Knowledge distillation, i.e. one classifier being trained on the outputs
of another classifier, is an empirically very successful technique for knowledge
transfer between classifiers. It has even been observed that classifiers learn
much faster and more reliably if trained with the outputs of another classifier
as soft labels, instead of from ground truth data. So far, however, there is no
satisfactory theoretical explanation of this phenomenon. In this work, we provide
the first insights into the working mechanisms of distillation by studying the
special case of linear and deep linear classifiers. Specifically, we prove a
generalization bound that establishes fast convergence of the expected risk of
a distillation-trained linear classifier. From the bound and its proof we extract
three keyfactors that determine the success of distillation: data geometry – geometric
properties of the datadistribution, in particular class separation, has an immediate
influence on the convergence speed of the risk; optimization bias– gradient descentoptimization
finds a very favorable minimum of the distillation objective; and strong monotonicity–
the expected risk of the student classifier always decreases when the size of
the training set grows.'
article_processing_charge: No
author:
- first_name: Phuong
full_name: Bui Thi Mai, Phuong
id: 3EC6EE64-F248-11E8-B48F-1D18A9856A87
last_name: Bui Thi Mai
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
citation:
ama: 'Phuong M, Lampert C. Towards understanding knowledge distillation. In: Proceedings
of the 36th International Conference on Machine Learning. Vol 97. ML Research
Press; 2019:5142-5151.'
apa: 'Phuong, M., & Lampert, C. (2019). Towards understanding knowledge distillation.
In Proceedings of the 36th International Conference on Machine Learning
(Vol. 97, pp. 5142–5151). Long Beach, CA, United States: ML Research Press.'
chicago: Phuong, Mary, and Christoph Lampert. “Towards Understanding Knowledge Distillation.”
In Proceedings of the 36th International Conference on Machine Learning,
97:5142–51. ML Research Press, 2019.
ieee: M. Phuong and C. Lampert, “Towards understanding knowledge distillation,”
in Proceedings of the 36th International Conference on Machine Learning,
Long Beach, CA, United States, 2019, vol. 97, pp. 5142–5151.
ista: 'Phuong M, Lampert C. 2019. Towards understanding knowledge distillation.
Proceedings of the 36th International Conference on Machine Learning. ICML: International
Conference on Machine Learning vol. 97, 5142–5151.'
mla: Phuong, Mary, and Christoph Lampert. “Towards Understanding Knowledge Distillation.”
Proceedings of the 36th International Conference on Machine Learning, vol.
97, ML Research Press, 2019, pp. 5142–51.
short: M. Phuong, C. Lampert, in:, Proceedings of the 36th International Conference
on Machine Learning, ML Research Press, 2019, pp. 5142–5151.
conference:
end_date: 2019-06-15
location: Long Beach, CA, United States
name: 'ICML: International Conference on Machine Learning'
start_date: 2019-06-10
date_created: 2019-06-20T18:23:03Z
date_published: 2019-06-13T00:00:00Z
date_updated: 2023-10-17T12:31:38Z
day: '13'
ddc:
- '000'
department:
- _id: ChLa
file:
- access_level: open_access
checksum: a66d00e2694d749250f8507f301320ca
content_type: application/pdf
creator: bphuong
date_created: 2019-06-20T18:22:56Z
date_updated: 2020-07-14T12:47:33Z
file_id: '6570'
file_name: paper.pdf
file_size: 686432
relation: main_file
file_date_updated: 2020-07-14T12:47:33Z
has_accepted_license: '1'
intvolume: ' 97'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: 5142-5151
publication: Proceedings of the 36th International Conference on Machine Learning
publication_status: published
publisher: ML Research Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Towards understanding knowledge distillation
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 97
year: '2019'
...
---
_id: '6590'
abstract:
- lang: eng
text: 'Modern machine learning methods often require more data for training than
a single expert can provide. Therefore, it has become a standard procedure to
collect data from external sources, e.g. via crowdsourcing. Unfortunately, the
quality of these sources is not always guaranteed. As additional complications,
the data might be stored in a distributed way, or might even have to remain private.
In this work, we address the question of how to learn robustly in such scenarios.
Studying the problem through the lens of statistical learning theory, we derive
a procedure that allows for learning from all available sources, yet automatically
suppresses irrelevant or corrupted data. We show by extensive experiments that
our method provides significant improvements over alternative approaches from
robust statistics and distributed optimization. '
article_processing_charge: No
author:
- first_name: Nikola H
full_name: Konstantinov, Nikola H
id: 4B9D76E4-F248-11E8-B48F-1D18A9856A87
last_name: Konstantinov
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
citation:
ama: 'Konstantinov NH, Lampert C. Robust learning from untrusted sources. In: Proceedings
of the 36th International Conference on Machine Learning. Vol 97. ML Research
Press; 2019:3488-3498.'
apa: 'Konstantinov, N. H., & Lampert, C. (2019). Robust learning from untrusted
sources. In Proceedings of the 36th International Conference on Machine Learning
(Vol. 97, pp. 3488–3498). Long Beach, CA, USA: ML Research Press.'
chicago: Konstantinov, Nikola H, and Christoph Lampert. “Robust Learning from Untrusted
Sources.” In Proceedings of the 36th International Conference on Machine Learning,
97:3488–98. ML Research Press, 2019.
ieee: N. H. Konstantinov and C. Lampert, “Robust learning from untrusted sources,”
in Proceedings of the 36th International Conference on Machine Learning,
Long Beach, CA, USA, 2019, vol. 97, pp. 3488–3498.
ista: 'Konstantinov NH, Lampert C. 2019. Robust learning from untrusted sources.
Proceedings of the 36th International Conference on Machine Learning. ICML: International
Conference on Machine Learning vol. 97, 3488–3498.'
mla: Konstantinov, Nikola H., and Christoph Lampert. “Robust Learning from Untrusted
Sources.” Proceedings of the 36th International Conference on Machine Learning,
vol. 97, ML Research Press, 2019, pp. 3488–98.
short: N.H. Konstantinov, C. Lampert, in:, Proceedings of the 36th International
Conference on Machine Learning, ML Research Press, 2019, pp. 3488–3498.
conference:
end_date: 2919-06-15
location: Long Beach, CA, USA
name: 'ICML: International Conference on Machine Learning'
start_date: 2019-06-10
date_created: 2019-06-27T14:18:23Z
date_published: 2019-06-01T00:00:00Z
date_updated: 2023-10-17T12:31:55Z
day: '01'
department:
- _id: ChLa
ec_funded: 1
external_id:
arxiv:
- '1901.10310'
intvolume: ' 97'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1901.10310
month: '06'
oa: 1
oa_version: Preprint
page: 3488-3498
project:
- _id: 2532554C-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '308036'
name: Lifelong Learning of Visual Scene Understanding
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: Proceedings of the 36th International Conference on Machine Learning
publication_status: published
publisher: ML Research Press
quality_controlled: '1'
related_material:
record:
- id: '10799'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Robust learning from untrusted sources
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 97
year: '2019'
...