---
OA_place: repository
_id: '17350'
abstract:
- lang: eng
  text: "Score-based generative models (SGMs) are powerful tools to sample from\r\ncomplex
    data distributions. Their underlying idea is to (i) run a forward\r\nprocess for
    time $T_1$ by adding noise to the data, (ii) estimate its score\r\nfunction, and
    (iii) use such estimate to run a reverse process. As the reverse\r\nprocess is
    initialized with the stationary distribution of the forward one, the\r\nexisting
    analysis paradigm requires $T_1\\to\\infty$. This is however\r\nproblematic: from
    a theoretical viewpoint, for a given precision of the score\r\napproximation,
    the convergence guarantee fails as $T_1$ diverges; from a\r\npractical viewpoint,
    a large $T_1$ increases computational costs and leads to\r\nerror propagation.
    This paper addresses the issue by considering a version of\r\nthe popular predictor-corrector
    scheme: after running the forward process, we\r\nfirst estimate the final distribution
    via an inexact Langevin dynamics and then\r\nrevert the process. Our key technical
    contribution is to provide convergence\r\nguarantees which require to run the
    forward process only for a fixed finite\r\ntime $T_1$. Our bounds exhibit a mild
    logarithmic dependence on the input\r\ndimension and the subgaussian norm of the
    target distribution, have minimal\r\nassumptions on the data, and require only
    to control the $L^2$ loss on the\r\nscore approximation, which is the quantity
    minimized in practice."
article_processing_charge: No
arxiv: 1
author:
- first_name: Francesco
  full_name: Pedrotti, Francesco
  id: d3ac8ac6-dc8d-11ea-abe3-e2a9628c4c3c
  last_name: Pedrotti
- first_name: Jan
  full_name: Maas, Jan
  id: 4C5696CE-F248-11E8-B48F-1D18A9856A87
  last_name: Maas
  orcid: 0000-0002-0845-1338
- first_name: Marco
  full_name: Mondelli, Marco
  id: 27EB676C-8706-11E9-9510-7717E6697425
  last_name: Mondelli
  orcid: 0000-0002-3242-7020
citation:
  ama: Pedrotti F, Maas J, Mondelli M. Improved convergence of score-based diffusion
    models via prediction-correction. <i>arXiv</i>. doi:<a href="https://doi.org/10.48550/arXiv.2305.14164">10.48550/arXiv.2305.14164</a>
  apa: Pedrotti, F., Maas, J., &#38; Mondelli, M. (n.d.). Improved convergence of
    score-based diffusion models via prediction-correction. <i>arXiv</i>. <a href="https://doi.org/10.48550/arXiv.2305.14164">https://doi.org/10.48550/arXiv.2305.14164</a>
  chicago: Pedrotti, Francesco, Jan Maas, and Marco Mondelli. “Improved Convergence
    of Score-Based Diffusion Models via Prediction-Correction.” <i>ArXiv</i>, n.d.
    <a href="https://doi.org/10.48550/arXiv.2305.14164">https://doi.org/10.48550/arXiv.2305.14164</a>.
  ieee: F. Pedrotti, J. Maas, and M. Mondelli, “Improved convergence of score-based
    diffusion models via prediction-correction,” <i>arXiv</i>. .
  ista: Pedrotti F, Maas J, Mondelli M. Improved convergence of score-based diffusion
    models via prediction-correction. arXiv, <a href="https://doi.org/10.48550/arXiv.2305.14164">10.48550/arXiv.2305.14164</a>.
  mla: Pedrotti, Francesco, et al. “Improved Convergence of Score-Based Diffusion
    Models via Prediction-Correction.” <i>ArXiv</i>, doi:<a href="https://doi.org/10.48550/arXiv.2305.14164">10.48550/arXiv.2305.14164</a>.
  short: F. Pedrotti, J. Maas, M. Mondelli, ArXiv (n.d.).
corr_author: '1'
date_created: 2024-07-31T07:56:40Z
date_published: 2024-06-06T00:00:00Z
date_updated: 2026-04-07T13:00:02Z
day: '06'
department:
- _id: JaMa
- _id: MaMo
doi: 10.48550/arXiv.2305.14164
external_id:
  arxiv:
  - '2305.14164'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2305.14164
month: '06'
oa: 1
oa_version: Preprint
project:
- _id: fc31cba2-9c52-11eb-aca3-ff467d239cd2
  grant_number: F6504
  name: Taming Complexity in Partial Differential Systems
- _id: 059876FA-7A3F-11EA-A408-12923DDC885E
  name: Prix Lopez-Loretta 2019 - Marco Mondelli
publication: arXiv
publication_status: draft
related_material:
  record:
  - id: '18897'
    relation: later_version
    status: public
  - id: '17336'
    relation: dissertation_contains
    status: public
status: public
title: Improved convergence of score-based diffusion models via prediction-correction
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2024'
...
---
OA_place: repository
_id: '17352'
abstract:
- lang: eng
  text: "We prove upper bounds on the $L^\\infty$-Wasserstein distance from optimal\r\ntransport
    between strongly log-concave probability densities and log-Lipschitz\r\nperturbations.
    In the simplest setting, such a bound amounts to a\r\ntransport-information inequality
    involving the $L^\\infty$-Wasserstein metric\r\nand the relative $L^\\infty$-Fisher
    information. We show that this inequality\r\ncan be sharpened significantly in
    situations where the involved densities are\r\nanisotropic. Our proof is based
    on probabilistic techniques using Langevin\r\ndynamics. As an application of these
    results, we obtain sharp exponential rates\r\nof convergence in Fisher's infinitesimal
    model from quantitative genetics,\r\ngeneralising recent results by Calvez, Poyato,
    and Santambrogio in dimension 1\r\nto arbitrary dimensions."
article_number: '2402.04151'
article_processing_charge: No
arxiv: 1
author:
- first_name: Kseniia
  full_name: Khudiakova, Kseniia
  id: 4E6DC800-AE37-11E9-AC72-31CAE5697425
  last_name: Khudiakova
  orcid: 0000-0002-6246-1465
- first_name: Jan
  full_name: Maas, Jan
  id: 4C5696CE-F248-11E8-B48F-1D18A9856A87
  last_name: Maas
  orcid: 0000-0002-0845-1338
- first_name: Francesco
  full_name: Pedrotti, Francesco
  id: d3ac8ac6-dc8d-11ea-abe3-e2a9628c4c3c
  last_name: Pedrotti
citation:
  ama: Khudiakova K, Maas J, Pedrotti F. L∞-optimal transport of anisotropic log-concave
    measures and exponential convergence in Fisher’s infinitesimal model. <i>arXiv</i>.
    doi:<a href="https://doi.org/10.48550/arXiv.2402.04151">10.48550/arXiv.2402.04151</a>
  apa: Khudiakova, K., Maas, J., &#38; Pedrotti, F. (n.d.). L∞-optimal transport of
    anisotropic log-concave measures and exponential convergence in Fisher’s infinitesimal
    model. <i>arXiv</i>. <a href="https://doi.org/10.48550/arXiv.2402.04151">https://doi.org/10.48550/arXiv.2402.04151</a>
  chicago: Khudiakova, Kseniia, Jan Maas, and Francesco Pedrotti. “L∞-Optimal Transport
    of Anisotropic Log-Concave Measures and Exponential Convergence in Fisher’s Infinitesimal
    Model.” <i>ArXiv</i>, n.d. <a href="https://doi.org/10.48550/arXiv.2402.04151">https://doi.org/10.48550/arXiv.2402.04151</a>.
  ieee: K. Khudiakova, J. Maas, and F. Pedrotti, “L∞-optimal transport of anisotropic
    log-concave measures and exponential convergence in Fisher’s infinitesimal model,”
    <i>arXiv</i>. .
  ista: Khudiakova K, Maas J, Pedrotti F. L∞-optimal transport of anisotropic log-concave
    measures and exponential convergence in Fisher’s infinitesimal model. arXiv, 2402.04151.
  mla: Khudiakova, Kseniia, et al. “L∞-Optimal Transport of Anisotropic Log-Concave
    Measures and Exponential Convergence in Fisher’s Infinitesimal Model.” <i>ArXiv</i>,
    2402.04151, doi:<a href="https://doi.org/10.48550/arXiv.2402.04151">10.48550/arXiv.2402.04151</a>.
  short: K. Khudiakova, J. Maas, F. Pedrotti, ArXiv (n.d.).
corr_author: '1'
date_created: 2024-07-31T08:07:40Z
date_published: 2024-02-07T00:00:00Z
date_updated: 2026-04-07T13:00:02Z
day: '07'
department:
- _id: JaMa
doi: 10.48550/arXiv.2402.04151
external_id:
  arxiv:
  - '2402.04151'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2402.04151
month: '02'
oa: 1
oa_version: Preprint
project:
- _id: fc31cba2-9c52-11eb-aca3-ff467d239cd2
  grant_number: F6504
  name: Taming Complexity in Partial Differential Systems
- _id: 34d33d68-11ca-11ed-8bc3-ec13763c0ca8
  grant_number: '26293'
  name: The impact of deleterious mutations on small populations
publication: arXiv
publication_status: draft
related_material:
  record:
  - id: '20050'
    relation: later_version
    status: public
  - id: '17336'
    relation: dissertation_contains
    status: public
status: public
title: L∞-optimal transport of anisotropic log-concave measures and exponential convergence
  in Fisher's infinitesimal model
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2024'
...
---
OA_place: repository
_id: '17353'
abstract:
- lang: eng
  text: "In this paper we derive estimates for the Hessian of the logarithm\r\n(log-Hessian)
    for solutions to the heat equation. For initial data in the form\r\nof log-Lipschitz
    perturbation of strongly log-concave measures, the log-Hessian\r\nadmits an explicit,
    uniform (in space) lower bound. This yields a new estimate\r\nfor the Lipschitz
    constant of a transport map pushing forward the standard\r\nGaussian to a measure
    in this class. Further connections are discussed with\r\nscore-based diffusion
    models and improved Gaussian logarithmic Sobolev\r\ninequalities. Finally, we
    show that assuming only fast decay of the tails of\r\nthe initial datum does not
    suffice to guarantee uniform log-Hessian upper\r\nbounds."
article_number: '2404.15205'
article_processing_charge: No
arxiv: 1
author:
- first_name: Giovanni
  full_name: Brigati, Giovanni
  id: 63ff57e8-1fbb-11ee-88f2-f558ffc59cf1
  last_name: Brigati
- first_name: Francesco
  full_name: Pedrotti, Francesco
  id: d3ac8ac6-dc8d-11ea-abe3-e2a9628c4c3c
  last_name: Pedrotti
citation:
  ama: Brigati G, Pedrotti F. Heat flow, log-concavity, and Lipschitz transport maps.
    <i>arXiv</i>. doi:<a href="https://doi.org/10.48550/arXiv.2404.15205">10.48550/arXiv.2404.15205</a>
  apa: Brigati, G., &#38; Pedrotti, F. (n.d.). Heat flow, log-concavity, and Lipschitz
    transport maps. <i>arXiv</i>. <a href="https://doi.org/10.48550/arXiv.2404.15205">https://doi.org/10.48550/arXiv.2404.15205</a>
  chicago: Brigati, Giovanni, and Francesco Pedrotti. “Heat Flow, Log-Concavity, and
    Lipschitz Transport Maps.” <i>ArXiv</i>, n.d. <a href="https://doi.org/10.48550/arXiv.2404.15205">https://doi.org/10.48550/arXiv.2404.15205</a>.
  ieee: G. Brigati and F. Pedrotti, “Heat flow, log-concavity, and Lipschitz transport
    maps,” <i>arXiv</i>. .
  ista: Brigati G, Pedrotti F. Heat flow, log-concavity, and Lipschitz transport maps.
    arXiv, 2404.15205.
  mla: Brigati, Giovanni, and Francesco Pedrotti. “Heat Flow, Log-Concavity, and Lipschitz
    Transport Maps.” <i>ArXiv</i>, 2404.15205, doi:<a href="https://doi.org/10.48550/arXiv.2404.15205">10.48550/arXiv.2404.15205</a>.
  short: G. Brigati, F. Pedrotti, ArXiv (n.d.).
corr_author: '1'
date_created: 2024-07-31T08:17:14Z
date_published: 2024-05-08T00:00:00Z
date_updated: 2026-04-07T13:00:02Z
day: '08'
department:
- _id: JaMa
doi: 10.48550/arXiv.2404.15205
external_id:
  arxiv:
  - '2404.15205'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2404.15205
month: '05'
oa: 1
oa_version: Preprint
publication: arXiv
publication_status: draft
related_material:
  record:
  - id: '20591'
    relation: later_version
    status: public
  - id: '17336'
    relation: dissertation_contains
    status: public
status: public
title: Heat flow, log-concavity, and Lipschitz transport maps
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2024'
...
---
OA_place: publisher
_id: '18088'
abstract:
- lang: eng
  text: "Instant messaging applications like Whatsapp, Signal or Telegram have become
    ubiquitous in today's society.\r\nMany of them provide not only end-to-end encryption,
    but also security guarantees even when the key material gets compromised.\r\nThese
    are achieved through frequent key update performed by users.\r\nIn particular,
    the compromise of a group key should preserve confidentiality of previously exchanged
    messages (forward secrecy), and a subsequent key update will ensure security for
    future ones (post-compromise security).\r\nThough great protocols for one-on-one
    communication have been known for some time, the design of ones that scale efficiently
    for larger groups while achieving akin security guarantees is a hard problem.\r\nA
    great deal of research has been aimed at this topic, much of it under the umbrella
    of the Messaging Layer Security (MLS) working group at the IETF. \r\nStarted in
    2018, this joint effort by academics and industry culminated in 2023 with the
    publication of the first standard for secure group messaging [IETF, RFC9420].\r\n\r\nAt
    the core of secure group messaging is a cryptographic primitive termed Continuous
    Group Key Agreement, or CGKA [Alwen et al. 2021], that essentially allows a changing
    group of users to agree on a common key with the added functionality security
    against compromises is achieved by users asynchronously issuing a key update.
    In this thesis we contribute to the understanding of CGKA across different angles.\r\nFirst,
    we present a new technique to effect dynamic operations in groups, i.e., add or
    remove members, that can be more efficient that the one employed by MLS in certain
    settings.\r\nConsidering the setting of users belonging to multiple overlapping
    groups, we then show lowerbounds on the communication cost of constructions that
    leverage said overlap, at the same time showing protocols that are asymptotically
    optimal and efficient for practical settings, respectively. Along the way, we
    show that the communication cost of key updates in MLS is average-cost optimal.\r\nAn
    important feature in CGKA protocols, particularly for big groups, is the possibility
    of executing several group operations concurrently. While later versions of MLS
    support this, they do at the cost of worsening the communication efficiency of
    future group operations.\r\nIn this thesis we introduce two new protocols that
    permit concurrency without any negative effect on efficiency. Our protocols circumvent
    previously existing lower bounds by satisfying a new notion of post-compromise
    security that only asks for security to be re-established after a certain number
    of key updates have taken place. While this can be slower than MLS in terms of
    rounds of communication, we show that it leads to more efficient overall communication.
    \r\nAdditionally, we introduce a new technique that allows group members to decrease
    the information they need to store and download, which makes one of our protocols
    enjoy much lower download cost than any other existing CGKA constructions. "
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Guillermo
  full_name: Pascual Perez, Guillermo
  id: 2D7ABD02-F248-11E8-B48F-1D18A9856A87
  last_name: Pascual Perez
  orcid: 0000-0001-8630-415X
citation:
  ama: Pascual Perez G. On the efficiency and security of secure group messaging.
    2024. doi:<a href="https://doi.org/10.15479/at:ista:18088">10.15479/at:ista:18088</a>
  apa: Pascual Perez, G. (2024). <i>On the efficiency and security of secure group
    messaging</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:18088">https://doi.org/10.15479/at:ista:18088</a>
  chicago: Pascual Perez, Guillermo. “On the Efficiency and Security of Secure Group
    Messaging.” Institute of Science and Technology Austria, 2024. <a href="https://doi.org/10.15479/at:ista:18088">https://doi.org/10.15479/at:ista:18088</a>.
  ieee: G. Pascual Perez, “On the efficiency and security of secure group messaging,”
    Institute of Science and Technology Austria, 2024.
  ista: Pascual Perez G. 2024. On the efficiency and security of secure group messaging.
    Institute of Science and Technology Austria.
  mla: Pascual Perez, Guillermo. <i>On the Efficiency and Security of Secure Group
    Messaging</i>. Institute of Science and Technology Austria, 2024, doi:<a href="https://doi.org/10.15479/at:ista:18088">10.15479/at:ista:18088</a>.
  short: G. Pascual Perez, On the Efficiency and Security of Secure Group Messaging,
    Institute of Science and Technology Austria, 2024.
corr_author: '1'
date_created: 2024-09-18T12:59:49Z
date_published: 2024-09-18T00:00:00Z
date_updated: 2026-04-07T13:01:26Z
day: '18'
ddc:
- '000'
degree_awarded: PhD
department:
- _id: KrPi
- _id: GradSch
doi: 10.15479/at:ista:18088
ec_funded: 1
file:
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  checksum: ce0dca715b3df48e52e2e891b6ac1bc5
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  file_size: 11917734
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has_accepted_license: '1'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: '239'
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '10408'
    relation: part_of_dissertation
    status: public
  - id: '11476'
    relation: part_of_dissertation
    status: public
  - id: '18086'
    relation: part_of_dissertation
    status: public
  - id: '10049'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Krzysztof Z
  full_name: Pietrzak, Krzysztof Z
  id: 3E04A7AA-F248-11E8-B48F-1D18A9856A87
  last_name: Pietrzak
  orcid: 0000-0002-9139-1654
title: On the efficiency and security of secure group messaging
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: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2024'
...
---
OA_place: publisher
_id: '17490'
abstract:
- lang: eng
  text: "Deep learning is essential in numerous applications nowadays, with many recent
    advancements made possible by training very large models. Despite their broad
    applicability, training neural networks is often time-intensive, and it is usually
    impractical to manage large models and datasets on a single machine. To address
    these issues, distributed deep learning training has become increasingly important.
    However, distributed training requires synchronization among nodes, and the mini-batch
    stochastic gradient descent algorithm places a significant load on network connections.
    A possible solution to tackle the synchronization bottleneck is to reduce a message
    size by lossy compression.\r\n\r\nIn this thesis, we investigate systems and algorithmic
    approaches to communication compression during training. From the systems perspective,
    we demonstrate that a common approach of expensive hardware overprovisioning can
    be replaced through a thorough system design. We introduce a framework that introduces
    efficient software support for compressed communication in machine learning applications,
    applicable to both multi-GPU single-node training and larger-scale multi-node
    training. Our framework integrates with popular ML frameworks, providing up to
    3x speedups for multi-GPU nodes based on commodity hardware and order-of-magnitude
    improvements in the multi-node setting, with negligible impact on accuracy.\r\n\r\nAlso,
    we consider an application of our framework to different communication schemes,
    such as Fully Sharded Data Parallel. We provide strong convergence guarantees
    for the compression in such a setup. Empirical validation shows that our method
    preserves model accuracy for GPT-family models with up to 1.3 billion parameters,
    while completely removing the communication bottlenecks of non-compressed alternatives,
    providing up to 2.2x speedups end-to-end.\r\n\r\nFrom the algorithmic side, we
    propose a general framework that dynamically adjusts the degree of compression
    across a model's layers during training. This approach enhances overall compression
    and results in significant speedups without compromising accuracy. Our algorithm
    utilizes an adaptive algorithm that automatically selects the optimal compression
    parameters for model layers, ensuring the best compression ratio while adhering
    to an error constraint. Our method is effective across all existing families of
    compression methods. It achieves up to 2.5x faster training and up to a 5x improvement
    in compression compared to efficient implementations of current approaches. Additionally,
    LGreCo can complement existing adaptive algorithms.\r\n"
acknowledged_ssus:
- _id: ScienComp
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Ilia
  full_name: Markov, Ilia
  id: D0CF4148-C985-11E9-8066-0BDEE5697425
  last_name: Markov
citation:
  ama: 'Markov I. Communication-efficient distributed training of deep neural networks :
    An algorithms and systems perspective. 2024. doi:<a href="https://doi.org/10.15479/at:ista:17490">10.15479/at:ista:17490</a>'
  apa: 'Markov, I. (2024). <i>Communication-efficient distributed training of deep
    neural networks : An algorithms and systems perspective</i>. Institute of Science
    and Technology Austria. <a href="https://doi.org/10.15479/at:ista:17490">https://doi.org/10.15479/at:ista:17490</a>'
  chicago: 'Markov, Ilia. “Communication-Efficient Distributed Training of Deep Neural
    Networks : An Algorithms and Systems Perspective.” Institute of Science and Technology
    Austria, 2024. <a href="https://doi.org/10.15479/at:ista:17490">https://doi.org/10.15479/at:ista:17490</a>.'
  ieee: 'I. Markov, “Communication-efficient distributed training of deep neural networks :
    An algorithms and systems perspective,” Institute of Science and Technology Austria,
    2024.'
  ista: 'Markov I. 2024. Communication-efficient distributed training of deep neural
    networks : An algorithms and systems perspective. Institute of Science and Technology
    Austria.'
  mla: 'Markov, Ilia. <i>Communication-Efficient Distributed Training of Deep Neural
    Networks : An Algorithms and Systems Perspective</i>. Institute of Science and
    Technology Austria, 2024, doi:<a href="https://doi.org/10.15479/at:ista:17490">10.15479/at:ista:17490</a>.'
  short: 'I. Markov, Communication-Efficient Distributed Training of Deep Neural Networks :
    An Algorithms and Systems Perspective, Institute of Science and Technology Austria,
    2024.'
corr_author: '1'
date_created: 2024-09-04T08:51:11Z
date_published: 2024-09-04T00:00:00Z
date_updated: 2026-04-07T13:00:54Z
day: '04'
ddc:
- '000'
degree_awarded: PhD
department:
- _id: GradSch
- _id: DaAl
doi: 10.15479/at:ista:17490
ec_funded: 1
file:
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  creator: imarkov
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  date_updated: 2024-09-04T08:35:35Z
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  file_name: Thesis.zip
  file_size: 43327753
  relation: source_file
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  checksum: 9e68f7217570f756ceb8f70b980938cd
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  date_created: 2024-09-04T08:36:06Z
  date_updated: 2024-09-04T08:36:06Z
  file_id: '17492'
  file_name: Thesis_final_version_pdfa2.pdf
  file_size: 2756082
  relation: main_file
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file_date_updated: 2024-09-04T08:36:06Z
has_accepted_license: '1'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: '102'
project:
- _id: 268A44D6-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '805223'
  name: Elastic Coordination for Scalable Machine Learning
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '17456'
    relation: part_of_dissertation
    status: public
  - id: '14461'
    relation: part_of_dissertation
    status: public
  - id: '12780'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Dan-Adrian
  full_name: Alistarh, Dan-Adrian
  id: 4A899BFC-F248-11E8-B48F-1D18A9856A87
  last_name: Alistarh
  orcid: 0000-0003-3650-940X
title: 'Communication-efficient distributed training of deep neural networks : An
  algorithms and systems perspective'
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: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2024'
...
---
_id: '18086'
abstract:
- lang: eng
  text: "Abstract. Continuous group key agreement (CGKA) allows a group of\r\nusers
    to maintain a continuously updated shared key in an asynchronous\r\nsetting where
    parties only come online sporadically and their messages\r\nare relayed by an
    untrusted server. CGKA captures the basic primitive\r\nunderlying group messaging
    schemes.\r\nCurrent solutions including TreeKEM (“Messaging Layer Security”\r\n(MLS)
    IETF RFC 9420) cannot handle concurrent requests while retaining low communication
    complexity. The exception being CoCoA, which\r\nis concurrent while having extremely
    low communication complexity (in\r\ngroups of size n and for m concurrent updates
    the communication per\r\nuser is log(n), i.e., independent of m). The main downside
    of CoCoA\r\nis that in groups of size n, users might have to do up to log(n) update\r\nrequests
    to the server to ensure their (potentially corrupted) key material has been refreshed.\r\nIn
    this work we present a “fast healing” concurrent CGKA protocol,\r\nnamed DeCAF,
    where users will heal after at most log(t) requests, with\r\nt being the number
    of corrupted users. While also suitable for the standard central-server setting,
    our protocol is particularly interesting for\r\nrealizing decentralized group
    messaging, where protocol messages (add,\r\nremove, update) are being posted on
    some append-only data structure\r\nrather than sent to a server. In this setting,
    concurrency is crucial once\r\nthe rate of requests exceeds, say, the rate at
    which new blocks are added\r\nto a blockchain.\r\nIn the central-server setting,
    CoCoA (the only alternative with concurrency, sub-linear communication and basic
    post-compromise security)\r\nenjoys much lower download communication. However,
    in the decentralized setting – where there is no server which can craft specific
    messages\r\nfor different users to reduce their download communication – our protocol\r\nsignificantly
    outperforms CoCoA. DeCAF heals in fewer epochs (log(t)\r\nvs. log(n)) while incurring
    a similar per epoch per user communication\r\ncost."
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Joel F
  full_name: Alwen, Joel F
  id: 2A8DFA8C-F248-11E8-B48F-1D18A9856A87
  last_name: Alwen
- first_name: Benedikt
  full_name: Auerbach, Benedikt
  id: D33D2B18-E445-11E9-ABB7-15F4E5697425
  last_name: Auerbach
  orcid: 0000-0002-7553-6606
- first_name: Miguel
  full_name: Cueto Noval, Miguel
  id: ffc563a3-f6e0-11ea-865d-e3cce03d17cc
  last_name: Cueto Noval
  orcid: 0000-0002-2505-4246
- first_name: Karen
  full_name: Klein, Karen
  id: 3E83A2F8-F248-11E8-B48F-1D18A9856A87
  last_name: Klein
- first_name: Guillermo
  full_name: Pascual Perez, Guillermo
  id: 2D7ABD02-F248-11E8-B48F-1D18A9856A87
  last_name: Pascual Perez
  orcid: 0000-0001-8630-415X
- first_name: Krzysztof Z
  full_name: Pietrzak, Krzysztof Z
  id: 3E04A7AA-F248-11E8-B48F-1D18A9856A87
  last_name: Pietrzak
  orcid: 0000-0002-9139-1654
citation:
  ama: 'Alwen JF, Auerbach B, Cueto Noval M, Klein K, Pascual Perez G, Pietrzak KZ.
    DeCAF: Decentralizable CGKA with fast healing. In: Galdi C, Phan DH, eds. <i>Security
    and Cryptography for Networks: 14th International Conference</i>. Vol 14974. Cham:
    Springer Nature; 2024:294–313. doi:<a href="https://doi.org/10.1007/978-3-031-71073-5_14">10.1007/978-3-031-71073-5_14</a>'
  apa: 'Alwen, J. F., Auerbach, B., Cueto Noval, M., Klein, K., Pascual Perez, G.,
    &#38; Pietrzak, K. Z. (2024). DeCAF: Decentralizable CGKA with fast healing. In
    C. Galdi &#38; D. H. Phan (Eds.), <i>Security and Cryptography for Networks: 14th
    International Conference</i> (Vol. 14974, pp. 294–313). Cham: Springer Nature.
    <a href="https://doi.org/10.1007/978-3-031-71073-5_14">https://doi.org/10.1007/978-3-031-71073-5_14</a>'
  chicago: 'Alwen, Joel F, Benedikt Auerbach, Miguel Cueto Noval, Karen Klein, Guillermo
    Pascual Perez, and Krzysztof Z Pietrzak. “DeCAF: Decentralizable CGKA with Fast
    Healing.” In <i>Security and Cryptography for Networks: 14th International Conference</i>,
    edited by Clemente Galdi and Duong Hieu Phan, 14974:294–313. Cham: Springer Nature,
    2024. <a href="https://doi.org/10.1007/978-3-031-71073-5_14">https://doi.org/10.1007/978-3-031-71073-5_14</a>.'
  ieee: 'J. F. Alwen, B. Auerbach, M. Cueto Noval, K. Klein, G. Pascual Perez, and
    K. Z. Pietrzak, “DeCAF: Decentralizable CGKA with fast healing,” in <i>Security
    and Cryptography for Networks: 14th International Conference</i>, Amalfi, Italy,
    2024, vol. 14974, pp. 294–313.'
  ista: 'Alwen JF, Auerbach B, Cueto Noval M, Klein K, Pascual Perez G, Pietrzak KZ.
    2024. DeCAF: Decentralizable CGKA with fast healing. Security and Cryptography
    for Networks: 14th International Conference. SCN: Security and Cryptography for
    Networks, LNCS, vol. 14974, 294–313.'
  mla: 'Alwen, Joel F., et al. “DeCAF: Decentralizable CGKA with Fast Healing.” <i>Security
    and Cryptography for Networks: 14th International Conference</i>, edited by Clemente
    Galdi and Duong Hieu Phan, vol. 14974, Springer Nature, 2024, pp. 294–313, doi:<a
    href="https://doi.org/10.1007/978-3-031-71073-5_14">10.1007/978-3-031-71073-5_14</a>.'
  short: 'J.F. Alwen, B. Auerbach, M. Cueto Noval, K. Klein, G. Pascual Perez, K.Z.
    Pietrzak, in:, C. Galdi, D.H. Phan (Eds.), Security and Cryptography for Networks:
    14th International Conference, Springer Nature, Cham, 2024, pp. 294–313.'
conference:
  end_date: 2024-09-13
  location: Amalfi, Italy
  name: 'SCN: Security and Cryptography for Networks'
  start_date: 2024-09-11
corr_author: '1'
date_created: 2024-09-18T11:35:14Z
date_published: 2024-09-10T00:00:00Z
date_updated: 2026-04-07T13:01:26Z
day: '10'
department:
- _id: GradSch
- _id: KrPi
doi: 10.1007/978-3-031-71073-5_14
editor:
- first_name: Clemente
  full_name: Galdi, Clemente
  last_name: Galdi
- first_name: Duong Hieu
  full_name: Phan, Duong Hieu
  last_name: Phan
external_id:
  isi:
  - '001330408000014'
intvolume: '     14974'
isi: 1
language:
- iso: eng
month: '09'
oa_version: None
page: 294–313
place: Cham
publication: 'Security and Cryptography for Networks: 14th International Conference'
publication_identifier:
  eisbn:
  - '9783031710735'
  eissn:
  - 1611-3349
  isbn:
  - '9783031710728'
  issn:
  - 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
  record:
  - id: '18088'
    relation: dissertation_contains
    status: public
status: public
title: 'DeCAF: Decentralizable CGKA with fast healing'
type: conference
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 14974
year: '2024'
...
---
_id: '17456'
abstract:
- lang: eng
  text: "Data-parallel distributed training of deep neural networks (DNN) has gained
    very widespread adoption, but can still experience communication bottlenecks.
    To address this issue, entire families of compression mechanisms have been developed,
    including quantization, sparsification, and low-rank approximation, some of which
    are seeing significant practical adoption. Despite this progress, almost all known
    compression schemes apply compression uniformly across DNN layers, although layers
    are heterogeneous in terms of parameter count and their impact on model accuracy.In
    this work, we provide a general framework for adapting the degree of compression
    across the model's layers dynamically during training, improving the overall compression,
    while leading to substantial speedups, without sacrificing accuracy. Our framework,
    called L-GreCo, is based on an adaptive algorithm, which automatically picks the
    optimal compression parameters for model layers guaranteeing the best compression
    ratio while satisfying an error constraint. Extensive experiments over image classification
    and language modeling tasks shows that L-GreCo is effective across all existing
    families of compression methods, and achieves up to 2.5\r\n×\r\n training speedup
    and up to 5\r\n×\r\n compression improvement over efficient implementations of
    existing approaches, while recovering full accuracy. Moreover, L-GreCo is complementary
    to existing adaptive algorithms, improving their compression ratio by 50\\% and
    practical throughput by 66\\%. An anonymized implementation is available at https://github.com/LGrCo/L-GreCo."
article_processing_charge: No
arxiv: 1
author:
- first_name: Ilia
  full_name: Markov, Ilia
  id: D0CF4148-C985-11E9-8066-0BDEE5697425
  last_name: Markov
- first_name: Kaveh
  full_name: Alimohammadi, Kaveh
  last_name: Alimohammadi
- first_name: Elias
  full_name: Frantar, Elias
  id: 09a8f98d-ec99-11ea-ae11-c063a7b7fe5f
  last_name: Frantar
- 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: 'Markov I, Alimohammadi K, Frantar E, Alistarh D-A. L-GreCo: Layerwise-adaptive
    gradient compression for efficient data-parallel deep learning. In: Gibbons P,
    Pekhimenko G, De Sa C, eds. <i>Proceedings of Machine Learning and Systems </i>.
    Vol 6. Association for Computing Machinery; 2024.'
  apa: 'Markov, I., Alimohammadi, K., Frantar, E., &#38; Alistarh, D.-A. (2024). L-GreCo:
    Layerwise-adaptive gradient compression for efficient data-parallel deep learning.
    In P. Gibbons, G. Pekhimenko, &#38; C. De Sa (Eds.), <i>Proceedings of Machine
    Learning and Systems </i> (Vol. 6). Athens, Greece: Association for Computing
    Machinery.'
  chicago: 'Markov, Ilia, Kaveh Alimohammadi, Elias Frantar, and Dan-Adrian Alistarh.
    “L-GreCo: Layerwise-Adaptive Gradient Compression for Efficient Data-Parallel
    Deep Learning.” In <i>Proceedings of Machine Learning and Systems </i>, edited
    by P. Gibbons, G. Pekhimenko, and C. De Sa, Vol. 6. Association for Computing
    Machinery, 2024.'
  ieee: 'I. Markov, K. Alimohammadi, E. Frantar, and D.-A. Alistarh, “L-GreCo: Layerwise-adaptive
    gradient compression for efficient data-parallel deep learning,” in <i>Proceedings
    of Machine Learning and Systems </i>, Athens, Greece, 2024, vol. 6.'
  ista: 'Markov I, Alimohammadi K, Frantar E, Alistarh D-A. 2024. L-GreCo: Layerwise-adaptive
    gradient compression for efficient data-parallel deep learning. Proceedings of
    Machine Learning and Systems . MLSys: Machine Learning and Systems vol. 6.'
  mla: 'Markov, Ilia, et al. “L-GreCo: Layerwise-Adaptive Gradient Compression for
    Efficient Data-Parallel Deep Learning.” <i>Proceedings of Machine Learning and
    Systems </i>, edited by P. Gibbons et al., vol. 6, Association for Computing Machinery,
    2024.'
  short: I. Markov, K. Alimohammadi, E. Frantar, D.-A. Alistarh, in:, P. Gibbons,
    G. Pekhimenko, C. De Sa (Eds.), Proceedings of Machine Learning and Systems ,
    Association for Computing Machinery, 2024.
conference:
  end_date: 2024-04-22
  location: Athens, Greece
  name: 'MLSys: Machine Learning and Systems'
  start_date: 2024-04-22
corr_author: '1'
date_created: 2024-08-22T08:29:25Z
date_published: 2024-04-01T00:00:00Z
date_updated: 2026-04-07T13:00:54Z
day: '01'
department:
- _id: DaAl
editor:
- first_name: P.
  full_name: Gibbons, P.
  last_name: Gibbons
- first_name: G.
  full_name: Pekhimenko, G.
  last_name: Pekhimenko
- first_name: C.
  full_name: De Sa, C.
  last_name: De Sa
external_id:
  arxiv:
  - '2210.17357'
intvolume: '         6'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://proceedings.mlsys.org/paper_files/paper/2024/hash/9069a8976ff06f6443e7f4172990a580-Abstract-Conference.html
month: '04'
oa: 1
oa_version: Published Version
publication: 'Proceedings of Machine Learning and Systems '
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
related_material:
  record:
  - id: '17490'
    relation: dissertation_contains
    status: public
status: public
title: 'L-GreCo: Layerwise-adaptive gradient compression for efficient data-parallel
  deep learning'
type: conference
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
volume: 6
year: '2024'
...
---
OA_place: publisher
OA_type: hybrid
_id: '14542'
abstract:
- lang: eng
  text: "It is a remarkable property of BCS theory that the ratio of the energy gap
    at zero temperature Ξ\r\n and the critical temperature Tc is (approximately) given
    by a universal constant, independent of the microscopic details of the fermionic
    interaction. This universality has rigorously been proven quite recently in three
    spatial dimensions and three different limiting regimes: weak coupling, low density
    and high density. The goal of this short note is to extend the universal behavior
    to lower dimensions d=1,2 and give an exemplary proof in the weak coupling limit."
acknowledgement: We thank Robert Seiringer for comments on the paper. J. H. gratefully
  acknowledges  partial  financial  support  by  the  ERC  Advanced  Grant  “RMTBeyond”No.
  101020331.This research was funded in part by the Austrian Science Fund (FWF) grantnumber
  I6427.
article_number: '2360005 '
article_processing_charge: Yes (in subscription journal)
article_type: original
arxiv: 1
author:
- first_name: Sven Joscha
  full_name: Henheik, Sven Joscha
  id: 31d731d7-d235-11ea-ad11-b50331c8d7fb
  last_name: Henheik
  orcid: 0000-0003-1106-327X
- first_name: Asbjørn Bækgaard
  full_name: Lauritsen, Asbjørn Bækgaard
  id: e1a2682f-dc8d-11ea-abe3-81da9ac728f1
  last_name: Lauritsen
  orcid: 0000-0003-4476-2288
- first_name: Barbara
  full_name: Roos, Barbara
  id: 5DA90512-D80F-11E9-8994-2E2EE6697425
  last_name: Roos
  orcid: 0000-0002-9071-5880
citation:
  ama: Henheik SJ, Lauritsen AB, Roos B. Universality in low-dimensional BCS theory.
    <i>Reviews in Mathematical Physics</i>. 2024;36(9). doi:<a href="https://doi.org/10.1142/s0129055x2360005x">10.1142/s0129055x2360005x</a>
  apa: Henheik, S. J., Lauritsen, A. B., &#38; Roos, B. (2024). Universality in low-dimensional
    BCS theory. <i>Reviews in Mathematical Physics</i>. World Scientific Publishing.
    <a href="https://doi.org/10.1142/s0129055x2360005x">https://doi.org/10.1142/s0129055x2360005x</a>
  chicago: Henheik, Sven Joscha, Asbjørn Bækgaard Lauritsen, and Barbara Roos. “Universality
    in Low-Dimensional BCS Theory.” <i>Reviews in Mathematical Physics</i>. World
    Scientific Publishing, 2024. <a href="https://doi.org/10.1142/s0129055x2360005x">https://doi.org/10.1142/s0129055x2360005x</a>.
  ieee: S. J. Henheik, A. B. Lauritsen, and B. Roos, “Universality in low-dimensional
    BCS theory,” <i>Reviews in Mathematical Physics</i>, vol. 36, no. 9. World Scientific
    Publishing, 2024.
  ista: Henheik SJ, Lauritsen AB, Roos B. 2024. Universality in low-dimensional BCS
    theory. Reviews in Mathematical Physics. 36(9), 2360005.
  mla: Henheik, Sven Joscha, et al. “Universality in Low-Dimensional BCS Theory.”
    <i>Reviews in Mathematical Physics</i>, vol. 36, no. 9, 2360005, World Scientific
    Publishing, 2024, doi:<a href="https://doi.org/10.1142/s0129055x2360005x">10.1142/s0129055x2360005x</a>.
  short: S.J. Henheik, A.B. Lauritsen, B. Roos, Reviews in Mathematical Physics 36
    (2024).
corr_author: '1'
date_created: 2023-11-15T23:48:14Z
date_published: 2024-10-01T00:00:00Z
date_updated: 2026-04-07T13:01:40Z
day: '01'
ddc:
- '510'
department:
- _id: GradSch
- _id: LaEr
- _id: RoSe
doi: 10.1142/s0129055x2360005x
ec_funded: 1
external_id:
  arxiv:
  - '2301.05621'
  isi:
  - '001099640300002'
file:
- access_level: open_access
  checksum: 2b053a4223b4db14b90520999ec56054
  content_type: application/pdf
  creator: dernst
  date_created: 2025-01-09T07:56:28Z
  date_updated: 2025-01-09T07:56:28Z
  file_id: '18786'
  file_name: 2024_ReviewsmathPhysics_Henheik.pdf
  file_size: 503910
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  success: 1
file_date_updated: 2025-01-09T07:56:28Z
has_accepted_license: '1'
intvolume: '        36'
isi: 1
issue: '9'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
project:
- _id: 62796744-2b32-11ec-9570-940b20777f1d
  call_identifier: H2020
  grant_number: '101020331'
  name: Random matrices beyond Wigner-Dyson-Mehta
- _id: bda63fe5-d553-11ed-ba76-a16e3d2f256b
  grant_number: I06427
  name: Mathematical Challenges in BCS Theory of Superconductivity
publication: Reviews in Mathematical Physics
publication_identifier:
  eissn:
  - 1793-6659
  issn:
  - 0129-055X
publication_status: published
publisher: World Scientific Publishing
quality_controlled: '1'
related_material:
  record:
  - id: '19540'
    relation: dissertation_contains
    status: public
  - id: '18135'
    relation: dissertation_contains
    status: public
scopus_import: '1'
status: public
title: Universality in low-dimensional BCS theory
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: 36
year: '2024'
...
---
_id: '18107'
abstract:
- lang: eng
  text: We consider a dilute fully spin-polarized Fermi gas at positive temperature
    in dimensions  d∈{1,2,3} . We show that the pressure of the interacting gas is
    bounded from below by that of the free gas plus, to leading order, an explicit
    term of order  adρ2+2/d, where a is the p-wave scattering length of the repulsive
    interaction and  ρ  is the particle density. The results are valid for a wide
    range of repulsive interactions, including that of a hard core, and uniform in
    temperatures at most of the order of the Fermi temperature. A central ingredient
    in the proof is a rigorous implementation of the fermionic cluster expansion of
    Gaudin, Gillespie and Ripka (Nucl. Phys. A, 176.2 (1971), pp. 237–260).
acknowledgement: 'Financial support by the Austrian Science Fund (FWF) through grant
  DOI: 10.55776/I6427 (as part of the SFB/TRR 352) is gratefully acknowledged.'
article_number: e78
article_processing_charge: Yes
article_type: original
arxiv: 1
author:
- first_name: Asbjørn Bækgaard
  full_name: Lauritsen, Asbjørn Bækgaard
  id: e1a2682f-dc8d-11ea-abe3-81da9ac728f1
  last_name: Lauritsen
  orcid: 0000-0003-4476-2288
- first_name: Robert
  full_name: Seiringer, Robert
  id: 4AFD0470-F248-11E8-B48F-1D18A9856A87
  last_name: Seiringer
  orcid: 0000-0002-6781-0521
citation:
  ama: 'Lauritsen AB, Seiringer R. Pressure of a dilute spin-polarized Fermi gas:
    Lower bound. <i>Forum of Mathematics, Sigma</i>. 2024;12. doi:<a href="https://doi.org/10.1017/fms.2024.56">10.1017/fms.2024.56</a>'
  apa: 'Lauritsen, A. B., &#38; Seiringer, R. (2024). Pressure of a dilute spin-polarized
    Fermi gas: Lower bound. <i>Forum of Mathematics, Sigma</i>. Cambridge University
    Press. <a href="https://doi.org/10.1017/fms.2024.56">https://doi.org/10.1017/fms.2024.56</a>'
  chicago: 'Lauritsen, Asbjørn Bækgaard, and Robert Seiringer. “Pressure of a Dilute
    Spin-Polarized Fermi Gas: Lower Bound.” <i>Forum of Mathematics, Sigma</i>. Cambridge
    University Press, 2024. <a href="https://doi.org/10.1017/fms.2024.56">https://doi.org/10.1017/fms.2024.56</a>.'
  ieee: 'A. B. Lauritsen and R. Seiringer, “Pressure of a dilute spin-polarized Fermi
    gas: Lower bound,” <i>Forum of Mathematics, Sigma</i>, vol. 12. Cambridge University
    Press, 2024.'
  ista: 'Lauritsen AB, Seiringer R. 2024. Pressure of a dilute spin-polarized Fermi
    gas: Lower bound. Forum of Mathematics, Sigma. 12, e78.'
  mla: 'Lauritsen, Asbjørn Bækgaard, and Robert Seiringer. “Pressure of a Dilute Spin-Polarized
    Fermi Gas: Lower Bound.” <i>Forum of Mathematics, Sigma</i>, vol. 12, e78, Cambridge
    University Press, 2024, doi:<a href="https://doi.org/10.1017/fms.2024.56">10.1017/fms.2024.56</a>.'
  short: A.B. Lauritsen, R. Seiringer, Forum of Mathematics, Sigma 12 (2024).
corr_author: '1'
date_created: 2024-09-20T12:25:25Z
date_published: 2024-09-09T00:00:00Z
date_updated: 2026-04-07T13:01:40Z
day: '09'
ddc:
- '510'
department:
- _id: GradSch
- _id: RoSe
doi: 10.1017/fms.2024.56
external_id:
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month: '09'
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project:
- _id: bda63fe5-d553-11ed-ba76-a16e3d2f256b
  grant_number: I06427
  name: Mathematical Challenges in BCS Theory of Superconductivity
publication: Forum of Mathematics, Sigma
publication_identifier:
  issn:
  - 2050-5094
publication_status: published
publisher: Cambridge University Press
quality_controlled: '1'
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scopus_import: '1'
status: public
title: 'Pressure of a dilute spin-polarized Fermi gas: Lower bound'
tmp:
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abstract:
- lang: eng
  text: "This thesis is structured into two parts. In the first part, we consider
    the random\r\nvariable X := Tr(f1(W)A1 . . . fk(W)Ak) where W is an N × N Hermitian
    Wigner matrix, k ∈ N, and we choose (possibly N-dependent) regular functions f1,
    . . . , fk as well as\r\nbounded deterministic matrices A1, . . . , Ak. In this
    context, we prove a functional central\r\nlimit theorem on macroscopic and mesoscopic
    scales, showing that the fluctuations of X\r\naround its expectation are Gaussian
    and that the limiting covariance structure is given\r\nby a deterministic recursion.
    We further give explicit error bounds in terms of the scaling\r\nof f1, . . .
    , fk and the number of traceless matrices among A1, . . . , Ak, thus extending\r\nthe
    results of Cipolloni, Erdős and Schröder [40] to products of arbitrary length
    k ≥ 2.\r\nAnalyzing the underlying combinatorics leads to a non-recursive formula
    for the variance\r\nof X as well as the covariance of X and Y := Tr(fk+1(W)Ak+1
    . . . fk+ℓ(W)Ak+ℓ) of similar\r\nbuild. When restricted to polynomials, these
    formulas reproduce recent results of Male,\r\nMingo, Peché, and Speicher [107],
    showing that the underlying combinatorics of noncrossing partitions and annular
    non-crossing permutations continue to stay valid beyond\r\nthe setting of second-order
    free probability theory. As an application, we consider the\r\nfluctuation of
    Tr(eitW A1e\r\n−itW A2)/N around its thermal value Tr(A1) Tr(A2)/N2 when t\r\nis
    large and give an explicit formula for the variance.\r\nThe second part of the
    thesis collects three smaller projects focusing on different random\r\nmatrix
    models. In the first project, we show that a class of weakly perturbed Hamiltonians\r\nof
    the form Hλ = H0 + λW, where W is a Wigner matrix, exhibits prethermalization.\r\nThat
    is, the time evolution generated by Hλ relaxes to its ultimate thermal state via
    an\r\nintermediate prethermal state with a lifetime of order λ\r\n−2\r\n. As the
    main result, we obtain\r\na general relaxation formula, expressing the perturbed
    dynamics via the unperturbed\r\ndynamics and the ultimate thermal state. The proof
    relies on a two-resolvent global law\r\nfor the deformed Wigner matrix Hλ.\r\nThe
    second project focuses on correlated random matrices, more precisely on a correlated
    N × N Hermitian random matrix with a polynomially decaying metric correlation\r\nstructure.
    A trivial a priori bound shows that the operator norm of this model is stochastically
    dominated by √\r\nN. However, by calculating the trace of the moments of the matrix\r\nand
    using the summable decay of the cumulants, the norm estimate can be improved to
    a\r\nbound of order one.\r\nIn the third project, we consider a multiplicative
    perturbation of the form UA(t) where U\r\nis a unitary random matrix and A = diag(t,
    1, ..., 1). This so-called UA model was\r\nfirst introduced by Fyodorov [73] for
    its applications in scattering theory. We give a\r\ngeneral description of the
    eigenvalue trajectories obtained by varying the parameter t and\r\nintroduce a
    flow of deterministic domains that separates the outlier resulting from the\r\nrank-one
    perturbation from the typical eigenvalues for all sub-critical timescales. The\r\nresults
    are obtained under generic assumptions on U that hold for various unitary random\r\nmatrices,
    including the circular unitary ensemble (CUE) in the original formulation of\r\nthe
    model."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Jana
  full_name: Reker, Jana
  id: e796e4f9-dc8d-11ea-abe3-97e26a0323e9
  last_name: Reker
citation:
  ama: 'Reker J. Central limit theorems for random matrices: From resolvents to free
    probability. 2024. doi:<a href="https://doi.org/10.15479/at:ista:17164">10.15479/at:ista:17164</a>'
  apa: 'Reker, J. (2024). <i>Central limit theorems for random matrices: From resolvents
    to free probability</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:17164">https://doi.org/10.15479/at:ista:17164</a>'
  chicago: 'Reker, Jana. “Central Limit Theorems for Random Matrices: From Resolvents
    to Free Probability.” Institute of Science and Technology Austria, 2024. <a href="https://doi.org/10.15479/at:ista:17164">https://doi.org/10.15479/at:ista:17164</a>.'
  ieee: 'J. Reker, “Central limit theorems for random matrices: From resolvents to
    free probability,” Institute of Science and Technology Austria, 2024.'
  ista: 'Reker J. 2024. Central limit theorems for random matrices: From resolvents
    to free probability. Institute of Science and Technology Austria.'
  mla: 'Reker, Jana. <i>Central Limit Theorems for Random Matrices: From Resolvents
    to Free Probability</i>. Institute of Science and Technology Austria, 2024, doi:<a
    href="https://doi.org/10.15479/at:ista:17164">10.15479/at:ista:17164</a>.'
  short: 'J. Reker, Central Limit Theorems for Random Matrices: From Resolvents to
    Free Probability, Institute of Science and Technology Austria, 2024.'
corr_author: '1'
date_created: 2024-06-24T11:23:29Z
date_published: 2024-06-26T00:00:00Z
date_updated: 2026-04-07T13:02:13Z
day: '26'
ddc:
- '519'
degree_awarded: PhD
department:
- _id: GradSch
- _id: LaEr
doi: 10.15479/at:ista:17164
ec_funded: 1
file:
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keyword:
- Random Matrices
- Spectrum
- Central Limit Theorem
- Resolvent
- Free Probability
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: '206'
project:
- _id: 62796744-2b32-11ec-9570-940b20777f1d
  call_identifier: H2020
  grant_number: '101020331'
  name: Random matrices beyond Wigner-Dyson-Mehta
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
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    relation: part_of_dissertation
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  - id: '17154'
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  - id: '17174'
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status: public
supervisor:
- first_name: László
  full_name: Erdös, László
  id: 4DBD5372-F248-11E8-B48F-1D18A9856A87
  last_name: Erdös
  orcid: 0000-0001-5366-9603
title: 'Central limit theorems for random matrices: From resolvents to free probability'
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type: dissertation
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year: '2024'
...
---
OA_place: publisher
OA_type: hybrid
_id: '17219'
abstract:
- lang: eng
  text: 'We introduce a multi-material non-manifold mesh-based surface tracking algorithm
    that converts self-intersections into topological changes. Our algorithm generalizes
    prior work on manifold surface tracking with topological changes: it preserves
    surface features like mesh-based methods, and it robustly handles topological
    changes like level set methods. Our method also offers improved efficiency and
    robustness over the state of the art. We demonstrate the effectiveness of the
    approach on a range of examples, including complex soap film simulations with
    thousands of interacting bubbles, and boolean unions of non-manifold meshes consisting
    of millions of triangles.'
acknowledgement: Peter Heiss-Synak helped conceive the project, helped formulate the
  algorithm structure, contributed ideas and code to Sections 6 & 8, the mesh data
  structure, algorithm robustness and benchmarks, helped write the paper, and provided
  supervision and conceptual solutions throughout the project. Aleksei Kalinov contributed
  ideas and code to Sections 7, 8.5, and 5, the sparse grid data structure, algorithm
  robustness and benchmarks, optimized the performance, produced all results, most
  figures, and the supplementary video, helped write the text, and provided conceptual
  solutions throughout the project. Malina Strugaru helped implement the mesh data
  structure and designed re-meshing operations for non-manifold triangle meshes. Arian
  Etemadi developed early prototypes for ideas in Sections 8.1 and 8.3 and helped
  write the paper. Huidong Yang developed early prototypes for isosurface extraction
  and visualization. Chris Wojtan helped conceive the project, helped write the paper,
  and provided supervision, prototype grid data structure code, and conceptual solutions
  throughout the project. We thank the anonymous reviewers for their helpful comments,
  the members of the Visual Computing Group at ISTA for their feedback, Christopher
  Batty for discussions about LosTopos, and SideFX for the Houdini Education software
  licenses.  This research was funded in part by the European Union (ERC-2021-COG
  101045083 CoDiNA).
article_number: '54'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Peter
  full_name: Synak, Peter
  id: 331776E2-F248-11E8-B48F-1D18A9856A87
  last_name: Synak
- first_name: Aleksei
  full_name: Kalinov, Aleksei
  id: 44b7120e-eb97-11eb-a6c2-e1557aa81d02
  last_name: Kalinov
  orcid: 0000-0003-2189-3904
- first_name: Irina-Malina
  full_name: Strugaru, Irina-Malina
  id: 2afc607f-f128-11eb-9611-8f2a0dfcf074
  last_name: Strugaru
- first_name: Arian
  full_name: Etemadihaghighi, Arian
  id: 36cea3aa-f38e-11ec-8ae0-c65ae6f6098f
  last_name: Etemadihaghighi
- first_name: Huidong
  full_name: Yang, Huidong
  last_name: Yang
- first_name: Christopher J
  full_name: Wojtan, Christopher J
  id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
  last_name: Wojtan
  orcid: 0000-0001-6646-5546
citation:
  ama: Synak P, Kalinov A, Strugaru I-M, Etemadi A, Yang H, Wojtan C. Multi-material
    mesh-based surface tracking with implicit topology changes. <i>ACM Transactions
    on Graphics</i>. 2024;43(4). doi:<a href="https://doi.org/10.1145/3658223">10.1145/3658223</a>
  apa: Synak, P., Kalinov, A., Strugaru, I.-M., Etemadi, A., Yang, H., &#38; Wojtan,
    C. (2024). Multi-material mesh-based surface tracking with implicit topology changes.
    <i>ACM Transactions on Graphics</i>. Association for Computing Machinery. <a href="https://doi.org/10.1145/3658223">https://doi.org/10.1145/3658223</a>
  chicago: Synak, Peter, Aleksei Kalinov, Irina-Malina Strugaru, Arian Etemadi, Huidong
    Yang, and Chris Wojtan. “Multi-Material Mesh-Based Surface Tracking with Implicit
    Topology Changes.” <i>ACM Transactions on Graphics</i>. Association for Computing
    Machinery, 2024. <a href="https://doi.org/10.1145/3658223">https://doi.org/10.1145/3658223</a>.
  ieee: P. Synak, A. Kalinov, I.-M. Strugaru, A. Etemadi, H. Yang, and C. Wojtan,
    “Multi-material mesh-based surface tracking with implicit topology changes,” <i>ACM
    Transactions on Graphics</i>, vol. 43, no. 4. Association for Computing Machinery,
    2024.
  ista: Synak P, Kalinov A, Strugaru I-M, Etemadi A, Yang H, Wojtan C. 2024. Multi-material
    mesh-based surface tracking with implicit topology changes. ACM Transactions on
    Graphics. 43(4), 54.
  mla: Synak, Peter, et al. “Multi-Material Mesh-Based Surface Tracking with Implicit
    Topology Changes.” <i>ACM Transactions on Graphics</i>, vol. 43, no. 4, 54, Association
    for Computing Machinery, 2024, doi:<a href="https://doi.org/10.1145/3658223">10.1145/3658223</a>.
  short: P. Synak, A. Kalinov, I.-M. Strugaru, A. Etemadi, H. Yang, C. Wojtan, ACM
    Transactions on Graphics 43 (2024).
corr_author: '1'
date_created: 2024-07-10T12:24:00Z
date_published: 2024-07-01T00:00:00Z
date_updated: 2026-04-07T13:02:36Z
day: '01'
ddc:
- '004'
department:
- _id: GradSch
- _id: ChWo
doi: 10.1145/3658223
external_id:
  isi:
  - '001289270900021'
file:
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  creator: dernst
  date_created: 2024-07-23T06:35:15Z
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  content_type: video/mp4
  creator: akalinov
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  title: Authors' version of the text
file_date_updated: 2025-11-11T09:50:52Z
has_accepted_license: '1'
intvolume: '        43'
isi: 1
issue: '4'
keyword:
- surface tracking
- topology change
- non- manifold meshes
- multi-material flows
- solid modeling
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 34bc2376-11ca-11ed-8bc3-9a3b3961a088
  grant_number: '101045083'
  name: Computational Discovery of Numerical Algorithms for Animation and Simulation
    of Natural Phenomena
publication: ACM Transactions on Graphics
publication_identifier:
  eissn:
  - 1557-7368
  issn:
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publisher: Association for Computing Machinery
quality_controlled: '1'
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scopus_import: '1'
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title: Multi-material mesh-based surface tracking with implicit topology changes
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...
---
_id: '17154'
abstract:
- lang: eng
  text: We compute the deterministic approximation for mixed fluctuation moments of
    products of deterministic matrices and general Sobolev functions of Wigner matrices.
    Restricting to polynomials, our formulas reproduce recent results of Male et al.
    (Random Matrices Theory Appl. 11(2):2250015, 2022), showing that the underlying
    combinatorics of non-crossing partitions and annular non-crossing permutations
    continue to stay valid beyond the setting of second-order free probability theory.
    The formulas obtained further characterize the variance in the functional central
    limit theorem given in the recent companion paper (Reker in Preprint, arXiv:2204.03419,
    2023). and thus allow identifying the fluctuation around the thermal value in
    certain thermalization problems.
article_number: '10'
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Jana
  full_name: Reker, Jana
  id: e796e4f9-dc8d-11ea-abe3-97e26a0323e9
  last_name: Reker
citation:
  ama: Reker J. Fluctuation moments for regular functions of Wigner Matrices. <i>Mathematical
    Physics, Analysis and Geometry</i>. 2024;27(3). doi:<a href="https://doi.org/10.1007/s11040-024-09483-y">10.1007/s11040-024-09483-y</a>
  apa: Reker, J. (2024). Fluctuation moments for regular functions of Wigner Matrices.
    <i>Mathematical Physics, Analysis and Geometry</i>. Springer Nature. <a href="https://doi.org/10.1007/s11040-024-09483-y">https://doi.org/10.1007/s11040-024-09483-y</a>
  chicago: Reker, Jana. “Fluctuation Moments for Regular Functions of Wigner Matrices.”
    <i>Mathematical Physics, Analysis and Geometry</i>. Springer Nature, 2024. <a
    href="https://doi.org/10.1007/s11040-024-09483-y">https://doi.org/10.1007/s11040-024-09483-y</a>.
  ieee: J. Reker, “Fluctuation moments for regular functions of Wigner Matrices,”
    <i>Mathematical Physics, Analysis and Geometry</i>, vol. 27, no. 3. Springer Nature,
    2024.
  ista: Reker J. 2024. Fluctuation moments for regular functions of Wigner Matrices.
    Mathematical Physics, Analysis and Geometry. 27(3), 10.
  mla: Reker, Jana. “Fluctuation Moments for Regular Functions of Wigner Matrices.”
    <i>Mathematical Physics, Analysis and Geometry</i>, vol. 27, no. 3, 10, Springer
    Nature, 2024, doi:<a href="https://doi.org/10.1007/s11040-024-09483-y">10.1007/s11040-024-09483-y</a>.
  short: J. Reker, Mathematical Physics, Analysis and Geometry 27 (2024).
date_created: 2024-06-21T09:31:17Z
date_published: 2024-06-20T00:00:00Z
date_updated: 2026-04-07T13:02:12Z
day: '20'
ddc:
- '519'
department:
- _id: LaEr
doi: 10.1007/s11040-024-09483-y
ec_funded: 1
external_id:
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  - '2307.11029'
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  - '001251464300001'
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file_date_updated: 2024-06-26T11:26:42Z
has_accepted_license: '1'
intvolume: '        27'
isi: 1
issue: '3'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
project:
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  name: IST Austria Open Access Fund
- _id: 62796744-2b32-11ec-9570-940b20777f1d
  call_identifier: H2020
  grant_number: '101020331'
  name: Random matrices beyond Wigner-Dyson-Mehta
publication: Mathematical Physics, Analysis and Geometry
publication_identifier:
  eissn:
  - 1572-9656
  issn:
  - 1385-0172
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
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scopus_import: '1'
status: public
title: Fluctuation moments for regular functions of Wigner Matrices
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type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
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...
---
OA_place: publisher
_id: '18301'
abstract:
- lang: eng
  text: Physics simulation in computer graphics can bring triangle meshes into topologically
    invalid states. The method in this thesis contributed to Heiss-Synak* and Kalinov*
    et al. [2024] who devised a non-manifold hybrid surface tracker—a surface tracker
    that repairs explicit non-manifold triangle meshes with the help of the implicit
    domain. Specifically, this thesis provides an algorithm for filling the holes
    that are left after removing problematic parts of the mesh.
alternative_title:
- ISTA Master's Thesis
article_processing_charge: No
author:
- first_name: Arian
  full_name: Etemadihaghighi, Arian
  id: 36cea3aa-f38e-11ec-8ae0-c65ae6f6098f
  last_name: Etemadihaghighi
citation:
  ama: Etemadi A. Filling the holes of non-manifold self-intersecting meshes for implicit
    topology changes in surface tracking. 2024. doi:<a href="https://doi.org/10.15479/at:ista:18301">10.15479/at:ista:18301</a>
  apa: Etemadi, A. (2024). <i>Filling the holes of non-manifold self-intersecting
    meshes for implicit topology changes in surface tracking</i>. Institute of Science
    and Technology Austria. <a href="https://doi.org/10.15479/at:ista:18301">https://doi.org/10.15479/at:ista:18301</a>
  chicago: Etemadi, Arian. “Filling the Holes of Non-Manifold Self-Intersecting Meshes
    for Implicit Topology Changes in Surface Tracking.” Institute of Science and Technology
    Austria, 2024. <a href="https://doi.org/10.15479/at:ista:18301">https://doi.org/10.15479/at:ista:18301</a>.
  ieee: A. Etemadi, “Filling the holes of non-manifold self-intersecting meshes for
    implicit topology changes in surface tracking,” Institute of Science and Technology
    Austria, 2024.
  ista: Etemadi A. 2024. Filling the holes of non-manifold self-intersecting meshes
    for implicit topology changes in surface tracking. Institute of Science and Technology
    Austria.
  mla: Etemadi, Arian. <i>Filling the Holes of Non-Manifold Self-Intersecting Meshes
    for Implicit Topology Changes in Surface Tracking</i>. Institute of Science and
    Technology Austria, 2024, doi:<a href="https://doi.org/10.15479/at:ista:18301">10.15479/at:ista:18301</a>.
  short: A. Etemadi, Filling the Holes of Non-Manifold Self-Intersecting Meshes for
    Implicit Topology Changes in Surface Tracking, Institute of Science and Technology
    Austria, 2024.
corr_author: '1'
date_created: 2024-10-11T19:52:20Z
date_published: 2024-10-15T00:00:00Z
date_updated: 2026-04-07T13:02:36Z
day: '15'
ddc:
- '000'
degree_awarded: MS
department:
- _id: GradSch
- _id: ChWo
doi: 10.15479/at:ista:18301
file:
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  checksum: 80fb7923e229ad9d39253d7c8a8083d0
  content_type: application/pdf
  creator: aetemadi
  date_created: 2024-10-24T14:34:42Z
  date_updated: 2024-10-24T14:34:42Z
  file_id: '18469'
  file_name: thesis-arian-etemadi.pdf
  file_size: 8914218
  relation: main_file
  success: 1
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  checksum: 1c02586ed7d441d5ec441867650568d1
  content_type: application/x-zip-compressed
  creator: aetemadi
  date_created: 2024-10-24T14:34:54Z
  date_updated: 2024-10-24T14:34:54Z
  file_id: '18470'
  file_name: thesis-arian-etemadi-latex-source.zip
  file_size: 9802650
  relation: source_file
file_date_updated: 2024-10-24T14:34:54Z
has_accepted_license: '1'
keyword:
- surface tracking
- non-manifold
- hole-filling
- topology change
- multi-material
- solid-modeling
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: '39'
publication_identifier:
  issn:
  - 2791-4585
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '17219'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Christopher J
  full_name: Wojtan, Christopher J
  id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
  last_name: Wojtan
  orcid: 0000-0001-6646-5546
title: Filling the holes of non-manifold self-intersecting meshes for implicit topology
  changes in surface tracking
tmp:
  image: /images/cc_by_sa.png
  legal_code_url: https://creativecommons.org/licenses/by-sa/4.0/legalcode
  name: Creative Commons Attribution-ShareAlike 4.0 International Public License (CC
    BY-SA 4.0)
  short: CC BY-SA (4.0)
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2024'
...
---
OA_place: repository
OA_type: green
_id: '17047'
abstract:
- lang: eng
  text: We provide a dynamical study of a model of multiplicative perturbation of
    a unitary matrix introduced by Fyodorov. In particular, we identify a flow of
    deterministic domains that bound the spectrum with high probability, separating
    the outlier from the typical eigenvalues at all sub-critical timescales. These
    results are obtained under generic assumptions on U that hold for a variety of
    unitary random matrix models.
article_number: '2450007'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Guillaume
  full_name: Dubach, Guillaume
  id: D5C6A458-10C4-11EA-ABF4-A4B43DDC885E
  last_name: Dubach
  orcid: 0000-0001-6892-8137
- first_name: Jana
  full_name: Reker, Jana
  id: e796e4f9-dc8d-11ea-abe3-97e26a0323e9
  last_name: Reker
citation:
  ama: 'Dubach G, Reker J. Dynamics of a rank-one multiplicative perturbation of a
    unitary matrix. <i>Random Matrices: Theory and Applications</i>. 2024;13(2). doi:<a
    href="https://doi.org/10.1142/s2010326324500072">10.1142/s2010326324500072</a>'
  apa: 'Dubach, G., &#38; Reker, J. (2024). Dynamics of a rank-one multiplicative
    perturbation of a unitary matrix. <i>Random Matrices: Theory and Applications</i>.
    World Scientific Publishing. <a href="https://doi.org/10.1142/s2010326324500072">https://doi.org/10.1142/s2010326324500072</a>'
  chicago: 'Dubach, Guillaume, and Jana Reker. “Dynamics of a Rank-One Multiplicative
    Perturbation of a Unitary Matrix.” <i>Random Matrices: Theory and Applications</i>.
    World Scientific Publishing, 2024. <a href="https://doi.org/10.1142/s2010326324500072">https://doi.org/10.1142/s2010326324500072</a>.'
  ieee: 'G. Dubach and J. Reker, “Dynamics of a rank-one multiplicative perturbation
    of a unitary matrix,” <i>Random Matrices: Theory and Applications</i>, vol. 13,
    no. 2. World Scientific Publishing, 2024.'
  ista: 'Dubach G, Reker J. 2024. Dynamics of a rank-one multiplicative perturbation
    of a unitary matrix. Random Matrices: Theory and Applications. 13(2), 2450007.'
  mla: 'Dubach, Guillaume, and Jana Reker. “Dynamics of a Rank-One Multiplicative
    Perturbation of a Unitary Matrix.” <i>Random Matrices: Theory and Applications</i>,
    vol. 13, no. 2, 2450007, World Scientific Publishing, 2024, doi:<a href="https://doi.org/10.1142/s2010326324500072">10.1142/s2010326324500072</a>.'
  short: 'G. Dubach, J. Reker, Random Matrices: Theory and Applications 13 (2024).'
corr_author: '1'
date_created: 2024-05-23T08:31:57Z
date_published: 2024-04-01T00:00:00Z
date_updated: 2026-04-07T13:02:12Z
day: '01'
department:
- _id: GradSch
- _id: LaEr
doi: 10.1142/s2010326324500072
ec_funded: 1
external_id:
  arxiv:
  - '2212.14638'
  isi:
  - '001229295200002'
intvolume: '        13'
isi: 1
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: ' https://doi.org/10.48550/arXiv.2212.14638'
month: '04'
oa: 1
oa_version: Preprint
project:
- _id: 62796744-2b32-11ec-9570-940b20777f1d
  call_identifier: H2020
  grant_number: '101020331'
  name: Random matrices beyond Wigner-Dyson-Mehta
publication: 'Random Matrices: Theory and Applications'
publication_identifier:
  eissn:
  - 2010-3271
  issn:
  - 2010-3263
publication_status: published
publisher: World Scientific Publishing
quality_controlled: '1'
related_material:
  record:
  - id: '17164'
    relation: dissertation_contains
    status: public
scopus_import: '1'
status: public
title: Dynamics of a rank-one multiplicative perturbation of a unitary matrix
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 13
year: '2024'
...
---
OA_place: publisher
_id: '17850'
abstract:
- lang: eng
  text: "Understanding the relationship between a given phenotype and its underlying
    genotype or genotypes is one of the most pressing challenges of biology, as it
    lies at the heart of not only basic understanding of evolutionary theory, but
    also of practical applications in medicine and bioengineering. Understanding this
    relationship is complicated by the ubiquitous phenomenon of epistasis, wherein
    mutation effects are dependent on their genetic context. Fitness landscapes —
    representations of phenotype as a function of genotype — are being increasingly
    used as a tool to study the effects and interactions of thousands of mutations,
    but are experimentally limited to exploring a small fraction of a protein’s theoretical
    sequence space. Furthermore, not all regions of said sequence space are necessarily
    equally informative. Thus, gene selection for landscape surveys should be carefully
    considered in order to maximize the usable output of necessarily limited data.\r\n\r\nIn
    this work, we analyzed the fitness landscapes of orthologous green fluorescent
    proteins from four different species, by systematically measuring the phenotype,
    fluorescence, of tens of thousands of mutant genotypes from each protein. These
    landscapes were highly heterogeneous, with some genes being mutationally robust
    and displaying epistasis only rarely, and others being highly epistatic and mutationally
    fragile. We used this data to train machine learning models to predict fluorescence
    from genotype. Although the training data contained almost exclusively genotypes
    with less than 3% sequence divergence from the original wild-type sequences, we
    were able to create novel, functional genotypes with up to 20% sequence divergence.
    Counterintuitively however, genes with high mutational robustness and rare epistasis
    were more difficult to introduce large numbers of mutations into, not less. This
    represents the first study of large-scale fitness landscapes of a protein family,
    and provides insights into how to approach future landscape surveys and their
    applications in novel protein design."
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
- _id: ScienComp
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Louisa
  full_name: Gonzalez Somermeyer, Louisa
  id: 4720D23C-F248-11E8-B48F-1D18A9856A87
  last_name: Gonzalez Somermeyer
  orcid: 0000-0001-9139-5383
citation:
  ama: Gonzalez Somermeyer L. Fitness landscapes of orthologous green fluorescent
    proteins. 2024. doi:<a href="https://doi.org/10.15479/at:ista:17850">10.15479/at:ista:17850</a>
  apa: Gonzalez Somermeyer, L. (2024). <i>Fitness landscapes of orthologous green
    fluorescent proteins</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:17850">https://doi.org/10.15479/at:ista:17850</a>
  chicago: Gonzalez Somermeyer, Louisa. “Fitness Landscapes of Orthologous Green Fluorescent
    Proteins.” Institute of Science and Technology Austria, 2024. <a href="https://doi.org/10.15479/at:ista:17850">https://doi.org/10.15479/at:ista:17850</a>.
  ieee: L. Gonzalez Somermeyer, “Fitness landscapes of orthologous green fluorescent
    proteins,” Institute of Science and Technology Austria, 2024.
  ista: Gonzalez Somermeyer L. 2024. Fitness landscapes of orthologous green fluorescent
    proteins. Institute of Science and Technology Austria.
  mla: Gonzalez Somermeyer, Louisa. <i>Fitness Landscapes of Orthologous Green Fluorescent
    Proteins</i>. Institute of Science and Technology Austria, 2024, doi:<a href="https://doi.org/10.15479/at:ista:17850">10.15479/at:ista:17850</a>.
  short: L. Gonzalez Somermeyer, Fitness Landscapes of Orthologous Green Fluorescent
    Proteins, Institute of Science and Technology Austria, 2024.
corr_author: '1'
date_created: 2024-09-06T12:57:44Z
date_published: 2024-09-06T00:00:00Z
date_updated: 2026-04-07T13:25:01Z
day: '06'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: GradSch
- _id: FyKo
doi: 10.15479/at:ista:17850
ec_funded: 1
file:
- access_level: open_access
  checksum: d3303724e8d3c91321d71bbad4062048
  content_type: application/pdf
  creator: lgonzale
  date_created: 2024-09-27T10:32:33Z
  date_updated: 2024-09-27T10:32:33Z
  file_id: '18151'
  file_name: louisa_thesis_draft__240904b.pdf
  file_size: 11219837
  relation: main_file
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  checksum: 22e63f7f9014dffde2af7a47e7d1d014
  content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
  creator: lgonzale
  date_created: 2024-09-27T10:34:34Z
  date_updated: 2024-09-27T10:34:34Z
  file_id: '18152'
  file_name: louisa_thesis_draft__240904b.docx
  file_size: 43338677
  relation: source_file
file_date_updated: 2024-09-27T10:34:34Z
has_accepted_license: '1'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: '89'
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
- _id: 26580278-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '771209'
  name: Characterizing the fitness landscape on population and global scales
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  link:
  - relation: software
    url: https://github.com/aequorea238/Orthologous_GFP_Fitness_Peaks
  record:
  - id: '11448'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Fyodor
  full_name: Kondrashov, Fyodor
  id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
  last_name: Kondrashov
  orcid: 0000-0001-8243-4694
title: Fitness landscapes of orthologous green fluorescent proteins
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2024'
...
---
OA_place: repository
OA_type: green
_id: '21692'
abstract:
- lang: eng
  text: Scintillation, the process of converting high-energy radiation to detectable
    visible light, is pivotal in advanced technologies spanning from medical diagnostics
    to fundamental scientific research. Despite significant advancements toward faster
    and more efficient scintillators, there remains a fundamental limit arising from
    the intrinsic properties of scintillating materials. The scintillation process
    culminates in spontaneous emission of visible light, which is restricted in rate
    by the oscillator strength of individual emission centers. Here, we observe a
    novel collective emission phenomenon under X-ray excitation, breaking this limit
    and accelerating the emission. Our observation reveals that strong interactions
    between simultaneously excited coupled perovskite quantum dots can create collective
    radioluminescence. This effect is characterized by a spectral shift and an enhanced
    rate of emission, with an average lifetime of 230 ps, 14 times faster than their
    room temperature spontaneous emission. It has been established that such quantum
    dots exhibit superfluorescence under UV excitation. However, X-ray superfluorescence
    is inherently different, as each high-energy photon creates multiple synchronized
    excitation events, triggered by a photoelectron and resulting in even faster emission
    rates, a larger spectral shift, and a broader spectrum. This observation is consistent
    with a quantum-optical analysis explaining both the UV-driven and X-ray-driven
    effects. We use a Hanbury-Brown-Twiss g^(2) (τ) setup to analyze the temperature-dependent
    temporal response of these scintillators. Collective radioluminescence breaks
    the limit of scintillation lifetime based on spontaneous emission and could dramatically
    improve time-of-flight detector performance, introducing quantum enhancements
    to scintillation science.
article_number: '2412.21101'
article_processing_charge: No
arxiv: 1
author:
- first_name: Shaul
  full_name: Katznelson, Shaul
  last_name: Katznelson
- first_name: Shai
  full_name: Levy, Shai
  last_name: Levy
- first_name: Alexey
  full_name: Gorlach, Alexey
  last_name: Gorlach
- first_name: Nathan
  full_name: Regev, Nathan
  last_name: Regev
- first_name: Michael
  full_name: Birk, Michael
  last_name: Birk
- first_name: Chen
  full_name: Mechel, Chen
  last_name: Mechel
- first_name: Offek
  full_name: Tziperman, Offek
  last_name: Tziperman
- first_name: Roman
  full_name: Schuetz, Roman
  last_name: Schuetz
- first_name: Rotem
  full_name: Strassberg, Rotem
  last_name: Strassberg
- first_name: Georgy
  full_name: Dosovitsky, Georgy
  last_name: Dosovitsky
- first_name: Charles
  full_name: Roques-Carmes, Charles
  id: e2e68fc9-6505-11ef-a541-eb4e72cc3e82
  last_name: Roques-Carmes
- first_name: Yehonadav
  full_name: Bekenstein, Yehonadav
  last_name: Bekenstein
- first_name: Ido
  full_name: Kaminer, Ido
  last_name: Kaminer
citation:
  ama: Katznelson S, Levy S, Gorlach A, et al. Superfluorescent scintillation from
    coupled perovskite quantum dots. <i>arXiv</i>. doi:<a href="https://doi.org/10.48550/arXiv.2412.21101">10.48550/arXiv.2412.21101</a>
  apa: Katznelson, S., Levy, S., Gorlach, A., Regev, N., Birk, M., Mechel, C., … Kaminer,
    I. (n.d.). Superfluorescent scintillation from coupled perovskite quantum dots.
    <i>arXiv</i>. <a href="https://doi.org/10.48550/arXiv.2412.21101">https://doi.org/10.48550/arXiv.2412.21101</a>
  chicago: Katznelson, Shaul, Shai Levy, Alexey Gorlach, Nathan Regev, Michael Birk,
    Chen Mechel, Offek Tziperman, et al. “Superfluorescent Scintillation from Coupled
    Perovskite Quantum Dots.” <i>ArXiv</i>, n.d. <a href="https://doi.org/10.48550/arXiv.2412.21101">https://doi.org/10.48550/arXiv.2412.21101</a>.
  ieee: S. Katznelson <i>et al.</i>, “Superfluorescent scintillation from coupled
    perovskite quantum dots,” <i>arXiv</i>. .
  ista: Katznelson S, Levy S, Gorlach A, Regev N, Birk M, Mechel C, Tziperman O, Schuetz
    R, Strassberg R, Dosovitsky G, Roques-Carmes C, Bekenstein Y, Kaminer I. Superfluorescent
    scintillation from coupled perovskite quantum dots. arXiv, 2412.21101.
  mla: Katznelson, Shaul, et al. “Superfluorescent Scintillation from Coupled Perovskite
    Quantum Dots.” <i>ArXiv</i>, 2412.21101, doi:<a href="https://doi.org/10.48550/arXiv.2412.21101">10.48550/arXiv.2412.21101</a>.
  short: S. Katznelson, S. Levy, A. Gorlach, N. Regev, M. Birk, C. Mechel, O. Tziperman,
    R. Schuetz, R. Strassberg, G. Dosovitsky, C. Roques-Carmes, Y. Bekenstein, I.
    Kaminer, ArXiv (n.d.).
date_created: 2026-04-09T09:10:41Z
date_published: 2024-12-30T00:00:00Z
date_updated: 2026-04-13T09:48:01Z
day: '30'
doi: 10.48550/arXiv.2412.21101
extern: '1'
external_id:
  arxiv:
  - '2412.21101'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: ' https://doi.org/10.48550/arXiv.2412.21101'
month: '12'
oa: 1
oa_version: Preprint
publication: arXiv
publication_status: submitted
scopus_import: '1'
status: public
title: Superfluorescent scintillation from coupled perovskite quantum dots
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2024'
...
---
OA_place: repository
OA_type: green
_id: '21686'
abstract:
- lang: eng
  text: Scintillation describes the conversion of high-energy particles into light
    in transparent media and finds diverse applications such as high-energy particle
    detection and industrial and medical imaging. This process operates on multiple
    timescales, with the final radiative step consisting of spontaneous emission,
    which can be modeled within the framework of quasi-equilibrium fluctuational electrodynamics.
    Scintillation can therefore be controlled and enhanced via nanophotonic effects,
    which has been proposed and experimentally demonstrated. Such designs have thus
    far obeyed Lorentz reciprocity, meaning there is a direct equivalence between
    scintillation emission and absorption by the scintillator. However, scintillators
    that do not obey Lorentz reciprocity have not been explored, even though they
    represent a novel platform for probing emission which is both nonequilibrium and
    nonreciprocal in nature. In this work, we propose to harness nonreciprocity to
    achieve directional control of scintillation emission, granting an additional
    degree of control over scintillation. Such directionality of light output is important
    in improving collection efficiencies along the directions where detectors are
    located. We present the design of a nonreciprocal scintillator using a one-dimensional
    magnetophotonic crystal in the Voigt configuration. Our work demonstrates the
    potential of controlling nonequilibrium emission such as scintillation by breaking
    reciprocity and expands the space of nanophotonic design for achieving such control.
article_number: '2409.17002'
article_processing_charge: No
arxiv: 1
author:
- first_name: Olivia Y.
  full_name: Long, Olivia Y.
  last_name: Long
- first_name: Simo
  full_name: Pajovic, Simo
  last_name: Pajovic
- first_name: Charles
  full_name: Roques-Carmes, Charles
  id: e2e68fc9-6505-11ef-a541-eb4e72cc3e82
  last_name: Roques-Carmes
- first_name: Yoichiro
  full_name: Tsurimaki, Yoichiro
  last_name: Tsurimaki
- first_name: Nicholas
  full_name: Rivera, Nicholas
  last_name: Rivera
- first_name: Marin
  full_name: Soljačić, Marin
  last_name: Soljačić
- first_name: Svetlana V.
  full_name: Boriskina, Svetlana V.
  last_name: Boriskina
- first_name: Shanhui
  full_name: Fan, Shanhui
  last_name: Fan
citation:
  ama: Long OY, Pajovic S, Roques-Carmes C, et al. Nonreciprocal scintillation using
    one-dimensional magneto-optical photonic crystals. <i>arXiv</i>. doi:<a href="https://doi.org/10.48550/arXiv.2409.17002">10.48550/arXiv.2409.17002</a>
  apa: Long, O. Y., Pajovic, S., Roques-Carmes, C., Tsurimaki, Y., Rivera, N., Soljačić,
    M., … Fan, S. (n.d.). Nonreciprocal scintillation using one-dimensional magneto-optical
    photonic crystals. <i>arXiv</i>. <a href="https://doi.org/10.48550/arXiv.2409.17002">https://doi.org/10.48550/arXiv.2409.17002</a>
  chicago: Long, Olivia Y., Simo Pajovic, Charles Roques-Carmes, Yoichiro Tsurimaki,
    Nicholas Rivera, Marin Soljačić, Svetlana V. Boriskina, and Shanhui Fan. “Nonreciprocal
    Scintillation Using One-Dimensional Magneto-Optical Photonic Crystals.” <i>ArXiv</i>,
    n.d. <a href="https://doi.org/10.48550/arXiv.2409.17002">https://doi.org/10.48550/arXiv.2409.17002</a>.
  ieee: O. Y. Long <i>et al.</i>, “Nonreciprocal scintillation using one-dimensional
    magneto-optical photonic crystals,” <i>arXiv</i>. .
  ista: Long OY, Pajovic S, Roques-Carmes C, Tsurimaki Y, Rivera N, Soljačić M, Boriskina
    SV, Fan S. Nonreciprocal scintillation using one-dimensional magneto-optical photonic
    crystals. arXiv, 2409.17002.
  mla: Long, Olivia Y., et al. “Nonreciprocal Scintillation Using One-Dimensional
    Magneto-Optical Photonic Crystals.” <i>ArXiv</i>, 2409.17002, doi:<a href="https://doi.org/10.48550/arXiv.2409.17002">10.48550/arXiv.2409.17002</a>.
  short: O.Y. Long, S. Pajovic, C. Roques-Carmes, Y. Tsurimaki, N. Rivera, M. Soljačić,
    S.V. Boriskina, S. Fan, ArXiv (n.d.).
date_created: 2026-04-09T09:10:41Z
date_published: 2024-09-25T00:00:00Z
date_updated: 2026-04-13T10:48:09Z
day: '25'
doi: 10.48550/arXiv.2409.17002
extern: '1'
external_id:
  arxiv:
  - '2409.17002'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2409.17002
month: '09'
oa: 1
oa_version: Preprint
publication: arXiv
publication_status: submitted
scopus_import: '1'
status: public
title: Nonreciprocal scintillation using one-dimensional magneto-optical photonic
  crystals
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2024'
...
---
OA_place: repository
OA_type: green
_id: '21685'
abstract:
- lang: eng
  text: Nonlinear optics has become the workhorse for countless applications in classical
    and quantum optics, from optical bistability to single photon pair generation.
    However, the intrinsic weakness of optical nonlinearity has meant that large input
    powers and weak output powers are often a necessity in nonlinear frequency conversion.
    Here, motivated by recent advances in using non-Hermitian photonics and gain/loss
    engineering to enable non-reciprocal light transport, we explore how the interplay
    between non-Hermiticity and optical nonlinearity leads to a fundamentally new
    regime of nonlinear frequency conversion. We show how non-Hermitian coupling between
    discrete frequency modes can result in non-reciprocal flow of energy in the frequency
    dimension, closely resembling the non-Hermitian skin effect (NHSE). Applying our
    theory to a multimode nonlinear cavity supporting cascaded nonlinear processes,
    we create an asymmetric infrared (IR) comb that features a ``skin'' frequency
    mode populated with efficiency exceeding 85\%. Furthermore, we demonstrate how
    three-wave mixing processes in the non-reciprocal infrared comb we generate enables
    terahertz (THz) generation exceeding the Manley-Rowe limit. We then show how the
    non-reciprocal frequency conversion is robust against cavity defects and disorder
    that cause random fluctuations in the dissipation rate for different modes. Moreover,
    in certain regimes, the nonlinear, non-Hermitian system supports stable limit
    cycles that can enable multimode pulsing with picosecond pulse widths and GHz
    repetition rates. Finally, we explore how the system can be applied to generate
    simultaneous IR and THz frequency combs, potentially unlocking novel applications
    in spectroscopy and metrology.
article_number: '2409.14299'
article_processing_charge: No
arxiv: 1
author:
- first_name: Sahil
  full_name: Pontula, Sahil
  last_name: Pontula
- first_name: Sachin
  full_name: Vaidya, Sachin
  last_name: Vaidya
- first_name: Charles
  full_name: Roques-Carmes, Charles
  id: e2e68fc9-6505-11ef-a541-eb4e72cc3e82
  last_name: Roques-Carmes
- first_name: Shiekh Zia
  full_name: Uddin, Shiekh Zia
  last_name: Uddin
- first_name: Marin
  full_name: Soljacic, Marin
  last_name: Soljacic
- first_name: Yannick
  full_name: Salamin, Yannick
  last_name: Salamin
citation:
  ama: Pontula S, Vaidya S, Roques-Carmes C, Uddin SZ, Soljacic M, Salamin Y. Non-reciprocal
    frequency conversion in a multimode nonlinear system. <i>arXiv</i>. doi:<a href="https://doi.org/10.48550/arXiv.2409.14299">10.48550/arXiv.2409.14299</a>
  apa: Pontula, S., Vaidya, S., Roques-Carmes, C., Uddin, S. Z., Soljacic, M., &#38;
    Salamin, Y. (n.d.). Non-reciprocal frequency conversion in a multimode nonlinear
    system. <i>arXiv</i>. <a href="https://doi.org/10.48550/arXiv.2409.14299">https://doi.org/10.48550/arXiv.2409.14299</a>
  chicago: Pontula, Sahil, Sachin Vaidya, Charles Roques-Carmes, Shiekh Zia Uddin,
    Marin Soljacic, and Yannick Salamin. “Non-Reciprocal Frequency Conversion in a
    Multimode Nonlinear System.” <i>ArXiv</i>, n.d. <a href="https://doi.org/10.48550/arXiv.2409.14299">https://doi.org/10.48550/arXiv.2409.14299</a>.
  ieee: S. Pontula, S. Vaidya, C. Roques-Carmes, S. Z. Uddin, M. Soljacic, and Y.
    Salamin, “Non-reciprocal frequency conversion in a multimode nonlinear system,”
    <i>arXiv</i>. .
  ista: Pontula S, Vaidya S, Roques-Carmes C, Uddin SZ, Soljacic M, Salamin Y. Non-reciprocal
    frequency conversion in a multimode nonlinear system. arXiv, 2409.14299.
  mla: Pontula, Sahil, et al. “Non-Reciprocal Frequency Conversion in a Multimode
    Nonlinear System.” <i>ArXiv</i>, 2409.14299, doi:<a href="https://doi.org/10.48550/arXiv.2409.14299">10.48550/arXiv.2409.14299</a>.
  short: S. Pontula, S. Vaidya, C. Roques-Carmes, S.Z. Uddin, M. Soljacic, Y. Salamin,
    ArXiv (n.d.).
date_created: 2026-04-09T09:10:41Z
date_published: 2024-09-22T00:00:00Z
date_updated: 2026-04-13T10:49:12Z
day: '22'
doi: 10.48550/arXiv.2409.14299
extern: '1'
external_id:
  arxiv:
  - '2409.14299'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2409.14299
month: '09'
oa: 1
oa_version: Preprint
publication: arXiv
publication_status: submitted
scopus_import: '1'
status: public
title: Non-reciprocal frequency conversion in a multimode nonlinear system
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2024'
...
---
OA_place: repository
OA_type: green
_id: '21689'
abstract:
- lang: eng
  text: Metasurfaces -- ultrathin structures composed of subwavelength optical elements
    -- have revolutionized light manipulation by enabling precise control over electromagnetic
    waves' amplitude, phase, polarization, and spectral properties. Concurrently,
    computational imaging leverages algorithms to reconstruct images from optically
    processed signals, overcoming limitations of traditional imaging systems. This
    review explores the synergistic integration of metaoptics and computational imaging,
    "computational metaoptics," which combines the physical wavefront shaping ability
    of metasurfaces with advanced computational algorithms to enhance imaging performance
    beyond conventional limits. We discuss how computational metaoptics addresses
    the inherent limitations of single-layer metasurfaces in achieving multifunctionality
    without compromising efficiency. By treating metasurfaces as physical preconditioners
    and co-designing them with reconstruction algorithms through end-to-end (inverse)
    design, it is possible to jointly optimize the optical hardware and computational
    software. This holistic approach allows for the automatic discovery of optimal
    metasurface designs and reconstruction methods that significantly improve imaging
    capabilities. Advanced applications enabled by computational metaoptics are highlighted,
    including phase imaging and quantum state measurement, which benefit from the
    metasurfaces' ability to manipulate complex light fields and the computational
    algorithms' capacity to reconstruct high-dimensional information. We also examine
    performance evaluation challenges, emphasizing the need for new metrics that account
    for the combined optical and computational nature of these systems. Finally, we
    identify new frontiers in computational metaoptics which point toward a future
    where computational metaoptics may play a central role in advancing imaging science
    and technology.
article_number: '2411.09133'
article_processing_charge: No
arxiv: 1
author:
- first_name: Charles
  full_name: Roques-Carmes, Charles
  id: e2e68fc9-6505-11ef-a541-eb4e72cc3e82
  last_name: Roques-Carmes
- first_name: Kai
  full_name: Wang, Kai
  last_name: Wang
- first_name: Yuanmu
  full_name: Yang, Yuanmu
  last_name: Yang
- first_name: Arka
  full_name: Majumdar, Arka
  last_name: Majumdar
- first_name: Zin
  full_name: Lin, Zin
  last_name: Lin
citation:
  ama: Roques-Carmes C, Wang K, Yang Y, Majumdar A, Lin Z. Computational metaoptics
    for imaging. <i>arXiv</i>. doi:<a href="https://doi.org/10.48550/arXiv.2411.09133">10.48550/arXiv.2411.09133</a>
  apa: Roques-Carmes, C., Wang, K., Yang, Y., Majumdar, A., &#38; Lin, Z. (n.d.).
    Computational metaoptics for imaging. <i>arXiv</i>. <a href="https://doi.org/10.48550/arXiv.2411.09133">https://doi.org/10.48550/arXiv.2411.09133</a>
  chicago: Roques-Carmes, Charles, Kai Wang, Yuanmu Yang, Arka Majumdar, and Zin Lin.
    “Computational Metaoptics for Imaging.” <i>ArXiv</i>, n.d. <a href="https://doi.org/10.48550/arXiv.2411.09133">https://doi.org/10.48550/arXiv.2411.09133</a>.
  ieee: C. Roques-Carmes, K. Wang, Y. Yang, A. Majumdar, and Z. Lin, “Computational
    metaoptics for imaging,” <i>arXiv</i>. .
  ista: Roques-Carmes C, Wang K, Yang Y, Majumdar A, Lin Z. Computational metaoptics
    for imaging. arXiv, 2411.09133.
  mla: Roques-Carmes, Charles, et al. “Computational Metaoptics for Imaging.” <i>ArXiv</i>,
    2411.09133, doi:<a href="https://doi.org/10.48550/arXiv.2411.09133">10.48550/arXiv.2411.09133</a>.
  short: C. Roques-Carmes, K. Wang, Y. Yang, A. Majumdar, Z. Lin, ArXiv (n.d.).
date_created: 2026-04-09T09:10:41Z
date_published: 2024-11-14T00:00:00Z
date_updated: 2026-04-13T09:53:49Z
day: '14'
doi: 10.48550/arXiv.2411.09133
extern: '1'
external_id:
  arxiv:
  - '2411.09133'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2411.09133
month: '11'
oa: 1
oa_version: Preprint
publication: arXiv
publication_status: submitted
scopus_import: '1'
status: public
title: Computational metaoptics for imaging
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2024'
...
---
OA_place: repository
OA_type: green
_id: '21690'
abstract:
- lang: eng
  text: Many quantum systems exhibit high sensitivity to their initial conditions,
    where microscopic quantum fluctuations can significantly influence macroscopic
    observables. Understanding how quantum states may influence the behavior of nonlinear
    dynamic systems may open new avenues in controlling light-matter interactions.
    To explore this issue, we analyze the sensitivity of a fundamental quantum optical
    process - parametric oscillation - to quantum initializations. Focusing on optical
    parametric oscillators (OPOs), we demonstrate that the quantum statistics of arbitrary
    initial states are imprinted in the early-stage dynamics and can persist in the
    steady-state probabilities. We derive the "quantum sensitivity" of parametric
    oscillators, linking the initial quantum state to the system's steady-state outcomes,
    highlighting how losses and parametric gain govern the system's quantum sensitivity.
    Moreover, we show that these findings extend beyond OPOs to a broader class of
    nonlinear systems, including Josephson junction based superconducting circuits.
    Our work opens the way to a new class of experiments that can test the sensitivity
    of macroscopic systems to quantum initial conditions and offers a pathway for
    controlling systems with quantum degrees of freedom.
article_number: :2412.02887
article_processing_charge: No
arxiv: 1
author:
- first_name: Alex
  full_name: Gu, Alex
  last_name: Gu
- first_name: Jamison
  full_name: Sloan, Jamison
  last_name: Sloan
- first_name: Charles
  full_name: Roques-Carmes, Charles
  id: e2e68fc9-6505-11ef-a541-eb4e72cc3e82
  last_name: Roques-Carmes
- first_name: Seou
  full_name: Choi, Seou
  last_name: Choi
- first_name: Eric I.
  full_name: Rosenthal, Eric I.
  last_name: Rosenthal
- first_name: Michael
  full_name: Horodynski, Michael
  last_name: Horodynski
- first_name: Yannick
  full_name: Salamin, Yannick
  last_name: Salamin
- first_name: Jelena
  full_name: Vučković, Jelena
  last_name: Vučković
- first_name: Marin
  full_name: Soljačić, Marin
  last_name: Soljačić
citation:
  ama: Gu A, Sloan J, Roques-Carmes C, et al. Quantum sensitivity of parametric oscillators.
    <i>arXiv</i>. doi:<a href="https://doi.org/10.48550/arXiv.2412.02887">10.48550/arXiv.2412.02887</a>
  apa: Gu, A., Sloan, J., Roques-Carmes, C., Choi, S., Rosenthal, E. I., Horodynski,
    M., … Soljačić, M. (n.d.). Quantum sensitivity of parametric oscillators. <i>arXiv</i>.
    <a href="https://doi.org/10.48550/arXiv.2412.02887">https://doi.org/10.48550/arXiv.2412.02887</a>
  chicago: Gu, Alex, Jamison Sloan, Charles Roques-Carmes, Seou Choi, Eric I. Rosenthal,
    Michael Horodynski, Yannick Salamin, Jelena Vučković, and Marin Soljačić. “Quantum
    Sensitivity of Parametric Oscillators.” <i>ArXiv</i>, n.d. <a href="https://doi.org/10.48550/arXiv.2412.02887">https://doi.org/10.48550/arXiv.2412.02887</a>.
  ieee: A. Gu <i>et al.</i>, “Quantum sensitivity of parametric oscillators,” <i>arXiv</i>.
    .
  ista: Gu A, Sloan J, Roques-Carmes C, Choi S, Rosenthal EI, Horodynski M, Salamin
    Y, Vučković J, Soljačić M. Quantum sensitivity of parametric oscillators. arXiv,
    :2412.02887.
  mla: Gu, Alex, et al. “Quantum Sensitivity of Parametric Oscillators.” <i>ArXiv</i>,
    :2412.02887, doi:<a href="https://doi.org/10.48550/arXiv.2412.02887">10.48550/arXiv.2412.02887</a>.
  short: A. Gu, J. Sloan, C. Roques-Carmes, S. Choi, E.I. Rosenthal, M. Horodynski,
    Y. Salamin, J. Vučković, M. Soljačić, ArXiv (n.d.).
date_created: 2026-04-09T09:10:41Z
date_published: 2024-12-03T00:00:00Z
date_updated: 2026-04-13T09:52:34Z
day: '03'
doi: 10.48550/arXiv.2412.02887
extern: '1'
external_id:
  arxiv:
  - '2412.02887'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2412.02887
month: '12'
oa: 1
oa_version: Preprint
publication: arXiv
publication_status: submitted
scopus_import: '1'
status: public
title: Quantum sensitivity of parametric oscillators
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2024'
...
