---
_id: '10013'
abstract:
- lang: eng
text: We derive a weak-strong uniqueness principle for BV solutions to multiphase
mean curvature flow of triple line clusters in three dimensions. Our proof is
based on the explicit construction of a gradient-flow calibration in the sense
of the recent work of Fischer et al. [arXiv:2003.05478] for any such cluster.
This extends the two-dimensional construction to the three-dimensional case of
surfaces meeting along triple junctions.
acknowledgement: This project has received funding from the European Research Council
(ERC) under the European Union’s Horizon 2020 research and innovation programme
(grant agreement No 948819), and from the Deutsche Forschungsgemeinschaft (DFG,
German Research Foundation) under Germany’s Excellence Strategy – EXC-2047/1 – 390685813.
article_number: '2108.01733'
article_processing_charge: No
author:
- first_name: Sebastian
full_name: Hensel, Sebastian
id: 4D23B7DA-F248-11E8-B48F-1D18A9856A87
last_name: Hensel
orcid: 0000-0001-7252-8072
- first_name: Tim
full_name: Laux, Tim
last_name: Laux
citation:
ama: Hensel S, Laux T. Weak-strong uniqueness for the mean curvature flow of double
bubbles. arXiv. doi:10.48550/arXiv.2108.01733
apa: Hensel, S., & Laux, T. (n.d.). Weak-strong uniqueness for the mean curvature
flow of double bubbles. arXiv. https://doi.org/10.48550/arXiv.2108.01733
chicago: Hensel, Sebastian, and Tim Laux. “Weak-Strong Uniqueness for the Mean Curvature
Flow of Double Bubbles.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2108.01733.
ieee: S. Hensel and T. Laux, “Weak-strong uniqueness for the mean curvature flow
of double bubbles,” arXiv. .
ista: Hensel S, Laux T. Weak-strong uniqueness for the mean curvature flow of double
bubbles. arXiv, 2108.01733.
mla: Hensel, Sebastian, and Tim Laux. “Weak-Strong Uniqueness for the Mean Curvature
Flow of Double Bubbles.” ArXiv, 2108.01733, doi:10.48550/arXiv.2108.01733.
short: S. Hensel, T. Laux, ArXiv (n.d.).
date_created: 2021-09-13T12:17:11Z
date_published: 2021-08-03T00:00:00Z
date_updated: 2023-09-07T13:30:45Z
day: '03'
department:
- _id: JuFi
doi: 10.48550/arXiv.2108.01733
ec_funded: 1
external_id:
arxiv:
- '2108.01733'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2108.01733
month: '08'
oa: 1
oa_version: Preprint
project:
- _id: 0aa76401-070f-11eb-9043-b5bb049fa26d
call_identifier: H2020
grant_number: '948819'
name: Bridging Scales in Random Materials
publication: arXiv
publication_status: submitted
related_material:
record:
- id: '13043'
relation: later_version
status: public
- id: '10007'
relation: dissertation_contains
status: public
status: public
title: Weak-strong uniqueness for the mean curvature flow of double bubbles
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2021'
...
---
_id: '9928'
abstract:
- lang: eng
text: There are two elementary superconducting qubit types that derive directly
from the quantum harmonic oscillator. In one, the inductor is replaced by a nonlinear
Josephson junction to realize the widely used charge qubits with a compact phase
variable and a discrete charge wave function. In the other, the junction is added
in parallel, which gives rise to an extended phase variable, continuous wave functions,
and a rich energy-level structure due to the loop topology. While the corresponding
rf superconducting quantum interference device Hamiltonian was introduced as a
quadratic quasi-one-dimensional potential approximation to describe the fluxonium
qubit implemented with long Josephson-junction arrays, in this work we implement
it directly using a linear superinductor formed by a single uninterrupted aluminum
wire. We present a large variety of qubits, all stemming from the same circuit
but with drastically different characteristic energy scales. This includes flux
and fluxonium qubits but also the recently introduced quasicharge qubit with strongly
enhanced zero-point phase fluctuations and a heavily suppressed flux dispersion.
The use of a geometric inductor results in high reproducibility of the inductive
energy as guaranteed by top-down lithography—a key ingredient for intrinsically
protected superconducting qubits.
acknowledged_ssus:
- _id: NanoFab
- _id: M-Shop
acknowledgement: We thank W. Hughes for analytic and numerical modeling during the
early stages of this work, J. Koch for discussions and support with the scqubits
package, R. Sett, P. Zielinski, and L. Drmic for software development, and G. Katsaros
for equipment support, as well as the MIBA workshop and the Institute of Science
and Technology Austria nanofabrication facility. We thank I. Pop, S. Deleglise,
and E. Flurin for discussions. This work was supported by a NOMIS Foundation research
grant, the Austrian Science Fund (FWF) through BeyondC (F7105), and IST Austria.
M.P. is the recipient of a Pöttinger scholarship at IST Austria. E.R. is the recipient
of a DOC fellowship of the Austrian Academy of Sciences at IST Austria.
article_processing_charge: No
article_type: original
author:
- first_name: Matilda
full_name: Peruzzo, Matilda
id: 3F920B30-F248-11E8-B48F-1D18A9856A87
last_name: Peruzzo
orcid: 0000-0002-3415-4628
- first_name: Farid
full_name: Hassani, Farid
id: 2AED110C-F248-11E8-B48F-1D18A9856A87
last_name: Hassani
orcid: 0000-0001-6937-5773
- first_name: Gregory
full_name: Szep, Gregory
last_name: Szep
- first_name: Andrea
full_name: Trioni, Andrea
id: 42F71B44-F248-11E8-B48F-1D18A9856A87
last_name: Trioni
- first_name: Elena
full_name: Redchenko, Elena
id: 2C21D6E8-F248-11E8-B48F-1D18A9856A87
last_name: Redchenko
- first_name: Martin
full_name: Zemlicka, Martin
id: 2DCF8DE6-F248-11E8-B48F-1D18A9856A87
last_name: Zemlicka
- first_name: Johannes M
full_name: Fink, Johannes M
id: 4B591CBA-F248-11E8-B48F-1D18A9856A87
last_name: Fink
orcid: 0000-0001-8112-028X
citation:
ama: 'Peruzzo M, Hassani F, Szep G, et al. Geometric superinductance qubits: Controlling
phase delocalization across a single Josephson junction. PRX Quantum. 2021;2(4):040341.
doi:10.1103/PRXQuantum.2.040341'
apa: 'Peruzzo, M., Hassani, F., Szep, G., Trioni, A., Redchenko, E., Zemlicka, M.,
& Fink, J. M. (2021). Geometric superinductance qubits: Controlling phase
delocalization across a single Josephson junction. PRX Quantum. American
Physical Society. https://doi.org/10.1103/PRXQuantum.2.040341'
chicago: 'Peruzzo, Matilda, Farid Hassani, Gregory Szep, Andrea Trioni, Elena Redchenko,
Martin Zemlicka, and Johannes M Fink. “Geometric Superinductance Qubits: Controlling
Phase Delocalization across a Single Josephson Junction.” PRX Quantum.
American Physical Society, 2021. https://doi.org/10.1103/PRXQuantum.2.040341.'
ieee: 'M. Peruzzo et al., “Geometric superinductance qubits: Controlling
phase delocalization across a single Josephson junction,” PRX Quantum,
vol. 2, no. 4. American Physical Society, p. 040341, 2021.'
ista: 'Peruzzo M, Hassani F, Szep G, Trioni A, Redchenko E, Zemlicka M, Fink JM.
2021. Geometric superinductance qubits: Controlling phase delocalization across
a single Josephson junction. PRX Quantum. 2(4), 040341.'
mla: 'Peruzzo, Matilda, et al. “Geometric Superinductance Qubits: Controlling Phase
Delocalization across a Single Josephson Junction.” PRX Quantum, vol. 2,
no. 4, American Physical Society, 2021, p. 040341, doi:10.1103/PRXQuantum.2.040341.'
short: M. Peruzzo, F. Hassani, G. Szep, A. Trioni, E. Redchenko, M. Zemlicka, J.M.
Fink, PRX Quantum 2 (2021) 040341.
date_created: 2021-08-17T08:14:18Z
date_published: 2021-11-24T00:00:00Z
date_updated: 2023-09-07T13:31:22Z
day: '24'
ddc:
- '530'
department:
- _id: JoFi
- _id: NanoFab
- _id: M-Shop
doi: 10.1103/PRXQuantum.2.040341
ec_funded: 1
external_id:
arxiv:
- '2106.05882'
isi:
- '000723015100001'
file:
- access_level: open_access
checksum: 36eb41ea43d8ca22b0efab12419e4eb2
content_type: application/pdf
creator: cchlebak
date_created: 2022-01-18T11:29:33Z
date_updated: 2022-01-18T11:29:33Z
file_id: '10641'
file_name: 2021_PRXQuantum_Peruzzo.pdf
file_size: 4247422
relation: main_file
success: 1
file_date_updated: 2022-01-18T11:29:33Z
has_accepted_license: '1'
intvolume: ' 2'
isi: 1
issue: '4'
keyword:
- quantum physics
- mesoscale and nanoscale physics
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
page: '040341'
project:
- _id: 26927A52-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: F07105
name: Integrating superconducting quantum circuits
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
- _id: 2622978C-B435-11E9-9278-68D0E5697425
name: Hybrid Semiconductor - Superconductor Quantum Devices
publication: PRX Quantum
publication_identifier:
eissn:
- 2691-3399
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
related_material:
record:
- id: '13057'
relation: research_data
status: public
- id: '9920'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: 'Geometric superinductance qubits: Controlling phase delocalization across
a single Josephson junction'
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: 2
year: '2021'
...
---
_id: '10030'
abstract:
- lang: eng
text: "This PhD thesis is primarily focused on the study of discrete transport problems,
introduced for the first time in the seminal works of Maas [Maa11] and Mielke
[Mie11] on finite state Markov chains and reaction-diffusion equations, respectively.
More in detail, my research focuses on the study of transport costs on graphs,
in particular the convergence and the stability of such problems in the discrete-to-continuum
limit. This thesis also includes some results concerning\r\nnon-commutative optimal
transport. The first chapter of this thesis consists of a general introduction
to the optimal transport problems, both in the discrete, the continuous, and the
non-commutative setting. Chapters 2 and 3 present the content of two works, obtained
in collaboration with Peter Gladbach, Eva Kopfer, and Jan Maas, where we have
been able to show the convergence of discrete transport costs on periodic graphs
to suitable continuous ones, which can be described by means of a homogenisation
result. We first focus on the particular case of quadratic costs on the real line
and then extending the result to more general costs in arbitrary dimension. Our
results are the first complete characterisation of limits of transport costs on
periodic graphs in arbitrary dimension which do not rely on any additional symmetry.
In Chapter 4 we turn our attention to one of the intriguing connection between
evolution equations and optimal transport, represented by the theory of gradient
flows. We show that discrete gradient flow structures associated to a finite volume
approximation of a certain class of diffusive equations (Fokker–Planck) is stable
in the limit of vanishing meshes, reproving the convergence of the scheme via
the method of evolutionary Γ-convergence and exploiting a more variational point
of view on the problem. This is based on a collaboration with Dominik Forkert
and Jan Maas. Chapter 5 represents a change of perspective, moving away from the
discrete world and reaching the non-commutative one. As in the discrete case,
we discuss how classical tools coming from the commutative optimal transport can
be translated into the setting of density matrices. In particular, in this final
chapter we present a non-commutative version of the Schrödinger problem (or entropic
regularised optimal transport problem) and discuss existence and characterisation
of minimisers, a duality result, and present a non-commutative version of the
well-known Sinkhorn algorithm to compute the above mentioned optimisers. This
is based on a joint work with Dario Feliciangeli and Augusto Gerolin. Finally,
Appendix A and B contain some additional material and discussions, with particular
attention to Harnack inequalities and the regularity of flows on discrete spaces."
acknowledged_ssus:
- _id: M-Shop
- _id: NanoFab
acknowledgement: The author gratefully acknowledges support by the Austrian Science
Fund (FWF), grants No W1245.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Lorenzo
full_name: Portinale, Lorenzo
id: 30AD2CBC-F248-11E8-B48F-1D18A9856A87
last_name: Portinale
citation:
ama: Portinale L. Discrete-to-continuum limits of transport problems and gradient
flows in the space of measures. 2021. doi:10.15479/at:ista:10030
apa: Portinale, L. (2021). Discrete-to-continuum limits of transport problems
and gradient flows in the space of measures. Institute of Science and Technology
Austria. https://doi.org/10.15479/at:ista:10030
chicago: Portinale, Lorenzo. “Discrete-to-Continuum Limits of Transport Problems
and Gradient Flows in the Space of Measures.” Institute of Science and Technology
Austria, 2021. https://doi.org/10.15479/at:ista:10030.
ieee: L. Portinale, “Discrete-to-continuum limits of transport problems and gradient
flows in the space of measures,” Institute of Science and Technology Austria,
2021.
ista: Portinale L. 2021. Discrete-to-continuum limits of transport problems and
gradient flows in the space of measures. Institute of Science and Technology Austria.
mla: Portinale, Lorenzo. Discrete-to-Continuum Limits of Transport Problems and
Gradient Flows in the Space of Measures. Institute of Science and Technology
Austria, 2021, doi:10.15479/at:ista:10030.
short: L. Portinale, Discrete-to-Continuum Limits of Transport Problems and Gradient
Flows in the Space of Measures, Institute of Science and Technology Austria, 2021.
date_created: 2021-09-21T09:14:15Z
date_published: 2021-09-22T00:00:00Z
date_updated: 2023-09-07T13:31:06Z
day: '22'
ddc:
- '515'
degree_awarded: PhD
department:
- _id: GradSch
- _id: JaMa
doi: 10.15479/at:ista:10030
file:
- access_level: closed
checksum: 8cd60dcb8762e8f21867e21e8001e183
content_type: application/x-zip-compressed
creator: cchlebak
date_created: 2021-09-21T09:17:34Z
date_updated: 2022-03-10T12:14:42Z
file_id: '10032'
file_name: tex_and_pictures.zip
file_size: 3876668
relation: source_file
- access_level: open_access
checksum: 9789e9d967c853c1503ec7f307170279
content_type: application/pdf
creator: cchlebak
date_created: 2021-09-27T11:14:31Z
date_updated: 2021-09-27T11:14:31Z
file_id: '10047'
file_name: thesis_portinale_Final (1).pdf
file_size: 2532673
relation: main_file
file_date_updated: 2022-03-10T12:14:42Z
has_accepted_license: '1'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
project:
- _id: 260788DE-B435-11E9-9278-68D0E5697425
call_identifier: FWF
name: Dissipation and Dispersion in Nonlinear Partial Differential Equations
- _id: fc31cba2-9c52-11eb-aca3-ff467d239cd2
grant_number: F6504
name: Taming Complexity in Partial Differential Systems
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '10022'
relation: part_of_dissertation
status: public
- id: '9792'
relation: part_of_dissertation
status: public
- id: '7573'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Jan
full_name: Maas, Jan
id: 4C5696CE-F248-11E8-B48F-1D18A9856A87
last_name: Maas
orcid: 0000-0002-0845-1338
title: Discrete-to-continuum limits of transport problems and gradient flows in the
space of measures
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: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2021'
...
---
_id: '9920'
abstract:
- lang: eng
text: 'This work is concerned with two fascinating circuit quantum electrodynamics
components, the Josephson junction and the geometric superinductor, and the interesting
experiments that can be done by combining the two. The Josephson junction has
revolutionized the field of superconducting circuits as a non-linear dissipation-less
circuit element and is used in almost all superconducting qubit implementations
since the 90s. On the other hand, the superinductor is a relatively new circuit
element introduced as a key component of the fluxonium qubit in 2009. This is
an inductor with characteristic impedance larger than the resistance quantum and
self-resonance frequency in the GHz regime. The combination of these two elements
can occur in two fundamental ways: in parallel and in series. When connected in
parallel the two create the fluxonium qubit, a loop with large inductance and
a rich energy spectrum reliant on quantum tunneling. On the other hand placing
the two elements in series aids with the measurement of the IV curve of a single
Josephson junction in a high impedance environment. In this limit theory predicts
that the junction will behave as its dual element: the phase-slip junction. While
the Josephson junction acts as a non-linear inductor the phase-slip junction has
the behavior of a non-linear capacitance and can be used to measure new Josephson
junction phenomena, namely Coulomb blockade of Cooper pairs and phase-locked Bloch
oscillations. The latter experiment allows for a direct link between frequency
and current which is an elusive connection in quantum metrology. This work introduces
the geometric superinductor, a superconducting circuit element where the high
inductance is due to the geometry rather than the material properties of the superconductor,
realized from a highly miniaturized superconducting planar coil. These structures
will be described and characterized as resonators and qubit inductors and progress
towards the measurement of phase-locked Bloch oscillations will be presented.'
acknowledged_ssus:
- _id: NanoFab
- _id: M-Shop
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Matilda
full_name: Peruzzo, Matilda
id: 3F920B30-F248-11E8-B48F-1D18A9856A87
last_name: Peruzzo
orcid: 0000-0002-3415-4628
citation:
ama: Peruzzo M. Geometric superinductors and their applications in circuit quantum
electrodynamics. 2021. doi:10.15479/at:ista:9920
apa: Peruzzo, M. (2021). Geometric superinductors and their applications in circuit
quantum electrodynamics. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:9920
chicago: Peruzzo, Matilda. “Geometric Superinductors and Their Applications in Circuit
Quantum Electrodynamics.” Institute of Science and Technology Austria, 2021. https://doi.org/10.15479/at:ista:9920.
ieee: M. Peruzzo, “Geometric superinductors and their applications in circuit quantum
electrodynamics,” Institute of Science and Technology Austria, 2021.
ista: Peruzzo M. 2021. Geometric superinductors and their applications in circuit
quantum electrodynamics. Institute of Science and Technology Austria.
mla: Peruzzo, Matilda. Geometric Superinductors and Their Applications in Circuit
Quantum Electrodynamics. Institute of Science and Technology Austria, 2021,
doi:10.15479/at:ista:9920.
short: M. Peruzzo, Geometric Superinductors and Their Applications in Circuit Quantum
Electrodynamics, Institute of Science and Technology Austria, 2021.
date_created: 2021-08-16T09:44:09Z
date_published: 2021-08-19T00:00:00Z
date_updated: 2023-09-07T13:31:22Z
day: '19'
ddc:
- '539'
degree_awarded: PhD
department:
- _id: GradSch
- _id: JoFi
doi: 10.15479/at:ista:9920
file:
- access_level: closed
checksum: 3cd1986efde5121d7581f6fcf9090da8
content_type: application/x-zip-compressed
creator: mperuzzo
date_created: 2021-08-16T09:33:21Z
date_updated: 2021-09-06T08:39:47Z
file_id: '9924'
file_name: GeometricSuperinductorsForCQED.zip
file_size: 151387283
relation: source_file
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checksum: 50928c621cdf0775d7a5906b9dc8602c
content_type: application/pdf
creator: mperuzzo
date_created: 2021-08-18T14:20:06Z
date_updated: 2021-09-06T08:39:47Z
file_id: '9939'
file_name: GeometricSuperinductorsAndTheirApplicationsIncQED-1b.pdf
file_size: 17596344
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checksum: 37f486aa1b622fe44af00d627ec13f6c
content_type: application/pdf
creator: mperuzzo
date_created: 2021-08-18T14:20:09Z
date_updated: 2021-09-06T08:39:47Z
description: Extra copy of the thesis as PDF/A-2b
file_id: '9940'
file_name: GeometricSuperinductorsAndTheirApplicationsIncQED-2b.pdf
file_size: 17592425
relation: other
file_date_updated: 2021-09-06T08:39:47Z
has_accepted_license: '1'
keyword:
- quantum computing
- superinductor
- quantum metrology
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
page: '149'
publication_identifier:
isbn:
- 978-3-99078-013-8
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '9928'
relation: part_of_dissertation
status: public
- id: '8755'
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: Geometric superinductors and their applications in circuit quantum electrodynamics
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2021'
...
---
_id: '10432'
abstract:
- lang: eng
text: One key element behind the recent progress of machine learning has been the
ability to train machine learning models in large-scale distributed shared-memory
and message-passing environments. Most of these models are trained employing variants
of stochastic gradient descent (SGD) based optimization, but most methods involve
some type of consistency relaxation relative to sequential SGD, to mitigate its
large communication or synchronization costs at scale. In this paper, we introduce
a general consistency condition covering communication-reduced and asynchronous
distributed SGD implementations. Our framework, called elastic consistency, decouples
the system-specific aspects of the implementation from the SGD convergence requirements,
giving a general way to obtain convergence bounds for a wide variety of distributed
SGD methods used in practice. Elastic consistency can be used to re-derive or
improve several previous convergence bounds in message-passing and shared-memory
settings, but also to analyze new models and distribution schemes. As a direct
application, we propose and analyze a new synchronization-avoiding scheduling
scheme for distributed SGD, and show that it can be used to efficiently train
deep convolutional models for image classification.
acknowledgement: "We would like to thank Christopher De Sa for his feedback on an
earlier draft of this paper, as well as the anonymous AAAI reviewers for their useful
comments. This project has received\r\nfunding from the European Research Council
(ERC) under the European Union’s Horizon 2020 research and innovation programme
(grant agreement No 805223 ScaleML). Bapi\r\nChatterjee was supported by the European
Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie
grant agreement No. 754411 (ISTPlus)."
article_processing_charge: No
author:
- first_name: Giorgi
full_name: Nadiradze, Giorgi
id: 3279A00C-F248-11E8-B48F-1D18A9856A87
last_name: Nadiradze
orcid: 0000-0001-5634-0731
- first_name: Ilia
full_name: Markov, Ilia
id: D0CF4148-C985-11E9-8066-0BDEE5697425
last_name: Markov
- first_name: Bapi
full_name: Chatterjee, Bapi
id: 3C41A08A-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-2742-4028
- first_name: 'Vyacheslav '
full_name: 'Kungurtsev, Vyacheslav '
last_name: Kungurtsev
- first_name: Dan-Adrian
full_name: Alistarh, Dan-Adrian
id: 4A899BFC-F248-11E8-B48F-1D18A9856A87
last_name: Alistarh
orcid: 0000-0003-3650-940X
citation:
ama: 'Nadiradze G, Markov I, Chatterjee B, Kungurtsev V, Alistarh D-A. Elastic consistency:
A practical consistency model for distributed stochastic gradient descent. In:
Proceedings of the AAAI Conference on Artificial Intelligence. Vol 35.
; 2021:9037-9045.'
apa: 'Nadiradze, G., Markov, I., Chatterjee, B., Kungurtsev, V., & Alistarh,
D.-A. (2021). Elastic consistency: A practical consistency model for distributed
stochastic gradient descent. In Proceedings of the AAAI Conference on Artificial
Intelligence (Vol. 35, pp. 9037–9045). Virtual.'
chicago: 'Nadiradze, Giorgi, Ilia Markov, Bapi Chatterjee, Vyacheslav Kungurtsev,
and Dan-Adrian Alistarh. “Elastic Consistency: A Practical Consistency Model for
Distributed Stochastic Gradient Descent.” In Proceedings of the AAAI Conference
on Artificial Intelligence, 35:9037–45, 2021.'
ieee: 'G. Nadiradze, I. Markov, B. Chatterjee, V. Kungurtsev, and D.-A. Alistarh,
“Elastic consistency: A practical consistency model for distributed stochastic
gradient descent,” in Proceedings of the AAAI Conference on Artificial Intelligence,
Virtual, 2021, vol. 35, no. 10, pp. 9037–9045.'
ista: 'Nadiradze G, Markov I, Chatterjee B, Kungurtsev V, Alistarh D-A. 2021. Elastic
consistency: A practical consistency model for distributed stochastic gradient
descent. Proceedings of the AAAI Conference on Artificial Intelligence. AAAI:
Association for the Advancement of Artificial Intelligence vol. 35, 9037–9045.'
mla: 'Nadiradze, Giorgi, et al. “Elastic Consistency: A Practical Consistency Model
for Distributed Stochastic Gradient Descent.” Proceedings of the AAAI Conference
on Artificial Intelligence, vol. 35, no. 10, 2021, pp. 9037–45.'
short: G. Nadiradze, I. Markov, B. Chatterjee, V. Kungurtsev, D.-A. Alistarh, in:,
Proceedings of the AAAI Conference on Artificial Intelligence, 2021, pp. 9037–9045.
conference:
end_date: 2021-02-09
location: Virtual
name: 'AAAI: Association for the Advancement of Artificial Intelligence'
start_date: 2021-02-02
date_created: 2021-12-09T09:21:35Z
date_published: 2021-05-18T00:00:00Z
date_updated: 2023-09-07T13:31:39Z
day: '18'
department:
- _id: DaAl
ec_funded: 1
external_id:
arxiv:
- '2001.05918'
intvolume: ' 35'
issue: '10'
language:
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main_file_link:
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url: https://ojs.aaai.org/index.php/AAAI/article/view/17092
month: '05'
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oa_version: Published Version
page: 9037-9045
project:
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call_identifier: H2020
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- _id: 268A44D6-B435-11E9-9278-68D0E5697425
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publication: Proceedings of the AAAI Conference on Artificial Intelligence
publication_status: published
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related_material:
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relation: dissertation_contains
status: public
status: public
title: 'Elastic consistency: A practical consistency model for distributed stochastic
gradient descent'
type: conference
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
volume: 35
year: '2021'
...