---
_id: '17476'
abstract:
- lang: eng
  text: "Lead halide perovskites have recently been reported to demonstrate an exceptionally
    high nonlinear (Kerr) refractive index n2 of up to 10−8cm2/W in CH3⁢NH3⁢PbBr3.
    Other researchers, however, observe different, substantially more conservative
    numbers. In order to resolve this disagreement, the nonlinear Kerr index of a
    bulk sample of lead halide perovskite was measured directly by means of an interferometer.
    This approach has many advantages as compared to the more standard z-scan technique.
    In particular, this method allows studying the induced changes to the refractive
    index in a time-resolved manner, thus enabling to separate the different contributions
    to \U0001D45B2. The extracted \U0001D45B2 values for CsPbBr3 and MAPbBr3 at \U0001D706≈1µ⁢m
    are \U0001D45B2=+2.1×10−14cm2/W and \U0001D45B2=+6×10−15cm2/W, respectively. Hence,
    these values are substantially lower than what has been indicated in most of the
    previous reports, implying the latter one should be regarded with great care."
acknowledgement: "We gratefully acknowledge the assistance of Prof. John\r\nDudley."
article_number: '085403'
article_processing_charge: No
article_type: original
author:
- first_name: Dusan
  full_name: Lorenc, Dusan
  id: 40D8A3E6-F248-11E8-B48F-1D18A9856A87
  last_name: Lorenc
- first_name: Ayan
  full_name: Zhumekenov, Ayan
  last_name: Zhumekenov
- first_name: Osman M.
  full_name: Bakr, Osman M.
  last_name: Bakr
- first_name: Zhanybek
  full_name: Alpichshev, Zhanybek
  id: 45E67A2A-F248-11E8-B48F-1D18A9856A87
  last_name: Alpichshev
  orcid: 0000-0002-7183-5203
citation:
  ama: 'Lorenc D, Zhumekenov A, Bakr OM, Alpichshev Z. No extraordinary χ(3) in lead-halide
    perovskites: Placing an upper bound on Kerr nonlinearity by means of time-resolved
    interferometry. <i>Physical Review Materials</i>. 2024;8(8). doi:<a href="https://doi.org/10.1103/PhysRevMaterials.8.085403">10.1103/PhysRevMaterials.8.085403</a>'
  apa: 'Lorenc, D., Zhumekenov, A., Bakr, O. M., &#38; Alpichshev, Z. (2024). No extraordinary
    χ(3) in lead-halide perovskites: Placing an upper bound on Kerr nonlinearity by
    means of time-resolved interferometry. <i>Physical Review Materials</i>. American
    Physical Society. <a href="https://doi.org/10.1103/PhysRevMaterials.8.085403">https://doi.org/10.1103/PhysRevMaterials.8.085403</a>'
  chicago: 'Lorenc, Dusan, Ayan Zhumekenov, Osman M. Bakr, and Zhanybek Alpichshev.
    “No Extraordinary χ(3) in Lead-Halide Perovskites: Placing an Upper Bound on Kerr
    Nonlinearity by Means of Time-Resolved Interferometry.” <i>Physical Review Materials</i>.
    American Physical Society, 2024. <a href="https://doi.org/10.1103/PhysRevMaterials.8.085403">https://doi.org/10.1103/PhysRevMaterials.8.085403</a>.'
  ieee: 'D. Lorenc, A. Zhumekenov, O. M. Bakr, and Z. Alpichshev, “No extraordinary
    χ(3) in lead-halide perovskites: Placing an upper bound on Kerr nonlinearity by
    means of time-resolved interferometry,” <i>Physical Review Materials</i>, vol.
    8, no. 8. American Physical Society, 2024.'
  ista: 'Lorenc D, Zhumekenov A, Bakr OM, Alpichshev Z. 2024. No extraordinary χ(3)
    in lead-halide perovskites: Placing an upper bound on Kerr nonlinearity by means
    of time-resolved interferometry. Physical Review Materials. 8(8), 085403.'
  mla: 'Lorenc, Dusan, et al. “No Extraordinary χ(3) in Lead-Halide Perovskites: Placing
    an Upper Bound on Kerr Nonlinearity by Means of Time-Resolved Interferometry.”
    <i>Physical Review Materials</i>, vol. 8, no. 8, 085403, American Physical Society,
    2024, doi:<a href="https://doi.org/10.1103/PhysRevMaterials.8.085403">10.1103/PhysRevMaterials.8.085403</a>.'
  short: D. Lorenc, A. Zhumekenov, O.M. Bakr, Z. Alpichshev, Physical Review Materials
    8 (2024).
corr_author: '1'
date_created: 2024-09-01T22:01:08Z
date_published: 2024-08-23T00:00:00Z
date_updated: 2025-09-08T09:06:34Z
day: '23'
department:
- _id: ZhAl
doi: 10.1103/PhysRevMaterials.8.085403
external_id:
  isi:
  - '001299497800001'
intvolume: '         8'
isi: 1
issue: '8'
language:
- iso: eng
month: '08'
oa_version: None
publication: Physical Review Materials
publication_identifier:
  eissn:
  - 2475-9953
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'No extraordinary χ(3) in lead-halide perovskites: Placing an upper bound on
  Kerr nonlinearity by means of time-resolved interferometry'
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 8
year: '2024'
...
---
_id: '17481'
abstract:
- lang: eng
  text: "Phase-field models such as the Allen–Cahn equation may give rise to the formation
    and evolution of geometric shapes, a phenomenon that may be analyzed rigorously
    in suitable scaling regimes. In its sharp-interface limit, the vectorial Allen–Cahn
    equation with a potential with N≥3 distinct minima has been conjectured to describe
    the evolution of branched interfaces by multiphase mean curvature flow. In the
    present work, we give a rigorous proof for this statement in two and three ambient
    dimensions and for a suitable class of potentials: as long as a strong solution
    to multiphase mean curvature flow exists, solutions to the vectorial Allen–Cahn
    equation with well-prepared initial data converge towards multiphase mean curvature
    flow in the limit of vanishing interface width parameter ε↘0. We even establish
    the rate of convergence O(ε \r\n1/2\r\n ). Our approach is based on the gradient-flow
    structure of the Allen–Cahn equation and its limiting motion: building on the
    recent concept of “gradient-flow calibrations” for multiphase mean curvature flow,
    we introduce a notion of relative entropy for the vectorial Allen–Cahn equation
    with multi-well potential. This enables us to overcome the limitations of other
    approaches, e.g. avoiding the need for a stability analysis of the Allen–Cahn
    operator or additional convergence hypotheses for the energy at positive times."
acknowledgement: "The authors thank Sebastian Hensel for useful and helpful commentson
  the first draft of this work.\r\nThis project has received funding from the European
  Research Council (ERC)\r\nunder the European Union’s Horizon 2020 research and innovation
  programme (grant\r\nagreement no. 948819."
article_processing_charge: Yes
article_type: original
author:
- first_name: Julian L
  full_name: Fischer, Julian L
  id: 2C12A0B0-F248-11E8-B48F-1D18A9856A87
  last_name: Fischer
  orcid: 0000-0002-0479-558X
- first_name: Alice
  full_name: Marveggio, Alice
  id: 25647992-AA84-11E9-9D75-8427E6697425
  last_name: Marveggio
citation:
  ama: Fischer JL, Marveggio A. Quantitative convergence of the vectorial Allen–Cahn
    equation towards multiphase mean curvature flow. <i>Annales de l’Institut Henri
    Poincare C</i>. 2024;41(5):1117-1178. doi:<a href="https://doi.org/10.4171/AIHPC/109">10.4171/AIHPC/109</a>
  apa: Fischer, J. L., &#38; Marveggio, A. (2024). Quantitative convergence of the
    vectorial Allen–Cahn equation towards multiphase mean curvature flow. <i>Annales
    de l’Institut Henri Poincare C</i>. EMS Press. <a href="https://doi.org/10.4171/AIHPC/109">https://doi.org/10.4171/AIHPC/109</a>
  chicago: Fischer, Julian L, and Alice Marveggio. “Quantitative Convergence of the
    Vectorial Allen–Cahn Equation towards Multiphase Mean Curvature Flow.” <i>Annales
    de l’Institut Henri Poincare C</i>. EMS Press, 2024. <a href="https://doi.org/10.4171/AIHPC/109">https://doi.org/10.4171/AIHPC/109</a>.
  ieee: J. L. Fischer and A. Marveggio, “Quantitative convergence of the vectorial
    Allen–Cahn equation towards multiphase mean curvature flow,” <i>Annales de l’Institut
    Henri Poincare C</i>, vol. 41, no. 5. EMS Press, pp. 1117–1178, 2024.
  ista: Fischer JL, Marveggio A. 2024. Quantitative convergence of the vectorial Allen–Cahn
    equation towards multiphase mean curvature flow. Annales de l’Institut Henri Poincare
    C. 41(5), 1117–1178.
  mla: Fischer, Julian L., and Alice Marveggio. “Quantitative Convergence of the Vectorial
    Allen–Cahn Equation towards Multiphase Mean Curvature Flow.” <i>Annales de l’Institut
    Henri Poincare C</i>, vol. 41, no. 5, EMS Press, 2024, pp. 1117–78, doi:<a href="https://doi.org/10.4171/AIHPC/109">10.4171/AIHPC/109</a>.
  short: J.L. Fischer, A. Marveggio, Annales de l’Institut Henri Poincare C 41 (2024)
    1117–1178.
corr_author: '1'
date_created: 2024-09-01T22:01:09Z
date_published: 2024-01-24T00:00:00Z
date_updated: 2025-09-08T09:11:01Z
day: '24'
ddc:
- '510'
department:
- _id: JuFi
doi: 10.4171/AIHPC/109
ec_funded: 1
external_id:
  isi:
  - '001293853900003'
file:
- access_level: open_access
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  date_updated: 2024-09-09T07:46:42Z
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  file_name: 2024_AnnInstHPoincare_Fischer.pdf
  file_size: 1348896
  relation: main_file
  success: 1
file_date_updated: 2024-09-09T07:46:42Z
has_accepted_license: '1'
intvolume: '        41'
isi: 1
issue: '5'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
page: 1117-1178
project:
- _id: 0aa76401-070f-11eb-9043-b5bb049fa26d
  call_identifier: H2020
  grant_number: '948819'
  name: Bridging Scales in Random Materials
publication: Annales de l'Institut Henri Poincare C
publication_identifier:
  eissn:
  - 1873-1430
  issn:
  - 0294-1449
publication_status: published
publisher: EMS Press
quality_controlled: '1'
related_material:
  record:
  - id: '14597'
    relation: earlier_version
    status: public
scopus_import: '1'
status: public
title: Quantitative convergence of the vectorial Allen–Cahn equation towards multiphase
  mean curvature flow
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: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 41
year: '2024'
...
---
OA_place: publisher
_id: '17485'
abstract:
- lang: eng
  text: "Large language models (LLMs) have made tremendous progress in the past few
    years, from being able to generate coherent text to matching or surpassing humans
    in a wide variety of creative, knowledge or reasoning tasks. Much of this can
    be attributed to massively increased scale, both in the size of the model as well
    as the amount of training data, from 100s of millions to 100s of billions, or
    even trillions. This trend is expected to continue, which, although exciting,
    also raises major practical concerns. Already today's 100+ billion parameter LLMs
    require top-of-the-line hardware just to run. Hence, it is clear that sustaining
    these developments will require significant efficiency advances.\r\n\r\nHistorically,
    one of the most practical ways of improving model efficiency has been compression,
    especially in the form of sparsity or quantization. While this has been studied
    extensively in the past, existing accurate methods are all designed for models
    around 100 million parameters; scaling them up to ones literally 1000x larger
    is highly challenging. In this thesis, we introduce a new unified sparsification
    and quantization approach OBC, which through additional algorithmic enhancements
    leads to GPTQ and SparseGPT, the first techniques fast and accurate enough to
    compress 100+ billion parameter models to 4- or even 3-bit precision and 50% weight-sparsity,
    respectively. Additionally, we show how weight-only quantizion does not just bring
    space savings but also up to 4.5x faster generation speed, via custom GPU kernels.\r\n\r\nIn
    fact, we show for the first time that it is possible to develop an FP16 times
    INT4 mixed-precision matrix multiplication kernel, called Marlin, which comes
    close to simultaneously maximizing both memory and compute utilization, making
    weight-only quantization highly practical even for multi-user serving. Further,
    we demonstrate that GPTQ can be scaled to widely overparametrized trillion-parameter
    models, where extreme sub-1-bit compression rates can be achieved without any
    inference slow-down, by co-designing a bespoke entropy coding scheme together
    with an efficient kernel.\r\n\r\nFinally, we also study compression from the perspective
    of someone with access to massive amounts of compute resources for training large
    models completely from scratch. Here the key questions evolve around the joint
    scaling behavior between compression, model size, and amount of training data
    used. Based on extensive experimental results for both vision and text models,
    we introduce the first scaling law which accurately captures the relationship
    between weight-sparsity, number of non-zero weights and data. This further allows
    us to characterize the optimal sparsity, which we find to increase the longer
    a fixed cost model is being trained.\r\n\r\nOverall, this thesis presents contributions
    to three different angles of large model efficiency: affordable but accurate algorithms,
    highly efficient systems implementations, and fundamental scaling laws for compressed
    training."
acknowledged_ssus:
- _id: ScienComp
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Elias
  full_name: Frantar, Elias
  id: 09a8f98d-ec99-11ea-ae11-c063a7b7fe5f
  last_name: Frantar
citation:
  ama: 'Frantar E. Compressing large neural networks : Algorithms, systems and scaling
    laws. 2024. doi:<a href="https://doi.org/10.15479/at:ista:17485">10.15479/at:ista:17485</a>'
  apa: 'Frantar, E. (2024). <i>Compressing large neural networks : Algorithms, systems
    and scaling laws</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:17485">https://doi.org/10.15479/at:ista:17485</a>'
  chicago: 'Frantar, Elias. “Compressing Large Neural Networks : Algorithms, Systems
    and Scaling Laws.” Institute of Science and Technology Austria, 2024. <a href="https://doi.org/10.15479/at:ista:17485">https://doi.org/10.15479/at:ista:17485</a>.'
  ieee: 'E. Frantar, “Compressing large neural networks : Algorithms, systems and
    scaling laws,” Institute of Science and Technology Austria, 2024.'
  ista: 'Frantar E. 2024. Compressing large neural networks : Algorithms, systems
    and scaling laws. Institute of Science and Technology Austria.'
  mla: 'Frantar, Elias. <i>Compressing Large Neural Networks : Algorithms, Systems
    and Scaling Laws</i>. Institute of Science and Technology Austria, 2024, doi:<a
    href="https://doi.org/10.15479/at:ista:17485">10.15479/at:ista:17485</a>.'
  short: 'E. Frantar, Compressing Large Neural Networks : Algorithms, Systems and
    Scaling Laws, Institute of Science and Technology Austria, 2024.'
corr_author: '1'
date_created: 2024-09-02T11:01:48Z
date_published: 2024-09-05T00:00:00Z
date_updated: 2026-06-18T17:58:39Z
day: '05'
ddc:
- '000'
degree_awarded: PhD
department:
- _id: GradSch
- _id: DaAl
doi: 10.15479/at:ista:17485
ec_funded: 1
file:
- access_level: closed
  checksum: 5d785645805a78c5b4ce7cc3df557b09
  content_type: application/zip
  creator: efrantar
  date_created: 2024-09-05T12:04:11Z
  date_updated: 2024-09-05T12:04:11Z
  file_id: '17570'
  file_name: thesis-final.zip
  file_size: 1615167
  relation: source_file
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  checksum: a9dd1c2d23734986924eb44ebb55fd8f
  content_type: application/pdf
  creator: efrantar
  date_created: 2024-09-06T16:24:59Z
  date_updated: 2024-09-06T16:24:59Z
  file_id: '17880'
  file_name: frantar_thesis_final.pdf
  file_size: 2376611
  relation: main_file
  success: 1
file_date_updated: 2024-09-06T16:24:59Z
has_accepted_license: '1'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: '129'
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: '17378'
    relation: part_of_dissertation
    status: public
  - id: '17087'
    relation: part_of_dissertation
    status: public
  - id: '14458'
    relation: part_of_dissertation
    status: public
  - id: '18061'
    relation: part_of_dissertation
    status: public
  - id: '18062'
    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: 'Compressing large neural networks : Algorithms, systems and scaling laws'
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2024'
...
---
_id: '17535'
abstract:
- lang: eng
  text: Supermassive black holes (SMBHs) with masses of ∼109 M⊙ within the first billion
    year of the universe challenge our conventional understanding of black hole formation
    and growth. One pathway to these SMBHs proposes that supermassive stars born in
    pristine atomic cooling haloes yield massive seed BHs evolving to these early
    SMBHs. This scenario leads to an overly massive BH galaxy (OMBG), in which the
    BH to stellar mass ratio is initially Mbh/M* ≥ 1, well in excess of the typical
    values of ∼10−3 at low redshifts. Previously, we have investigated two massive
    seed BH candidates from the Renaissance simulation and found that they remain
    outliers on the Mbh–M* relation until the OMBG merges with a much more massive
    halo at z = 8. In this work, we use Monte-Carlo merger trees to investigate the
    evolution of the Mbh–M* relation for 50 000 protogalaxies hosting massive BH seeds,
    across 10 000 trees that merge into a 1012 M⊙ halo at z = 6. We find that up to
    60 per cent (depending on growth parameters) of these OMBGs remain strong outliers
    for several 100 Myr, down to redshifts detectable with JWST and with sensitive
    X-ray telescopes. This represents a way to diagnose the massive-seed formation
    pathway for early SMBHs. We expect to find ∼0.1–1 of these objects per JWST Near
    Infrared Camera (NIRCam) field per unit redshift at z ≳ 6. Recently detected SMBHs
    with masses of ∼107 M⊙ and low-inferred stellar-mass hosts may be examples of
    this population.
article_processing_charge: No
article_type: original
author:
- first_name: Matthew T
  full_name: Scoggins, Matthew T
  last_name: Scoggins
- first_name: Zoltán
  full_name: Haiman, Zoltán
  id: 7c006e8c-cc0d-11ee-8322-cb904ef76f36
  last_name: Haiman
citation:
  ama: 'Scoggins MT, Haiman Z. Diagnosing the massive-seed pathway to high-redshift
    black holes: statistics of the evolving black hole to host galaxy mass ratio.
    <i>Monthly Notices of the Royal Astronomical Society</i>. 2024;531(4):4584-4597.
    doi:<a href="https://doi.org/10.1093/mnras/stae1449">10.1093/mnras/stae1449</a>'
  apa: 'Scoggins, M. T., &#38; Haiman, Z. (2024). Diagnosing the massive-seed pathway
    to high-redshift black holes: statistics of the evolving black hole to host galaxy
    mass ratio. <i>Monthly Notices of the Royal Astronomical Society</i>. Oxford University
    Press. <a href="https://doi.org/10.1093/mnras/stae1449">https://doi.org/10.1093/mnras/stae1449</a>'
  chicago: 'Scoggins, Matthew T, and Zoltán Haiman. “Diagnosing the Massive-Seed Pathway
    to High-Redshift Black Holes: Statistics of the Evolving Black Hole to Host Galaxy
    Mass Ratio.” <i>Monthly Notices of the Royal Astronomical Society</i>. Oxford
    University Press, 2024. <a href="https://doi.org/10.1093/mnras/stae1449">https://doi.org/10.1093/mnras/stae1449</a>.'
  ieee: 'M. T. Scoggins and Z. Haiman, “Diagnosing the massive-seed pathway to high-redshift
    black holes: statistics of the evolving black hole to host galaxy mass ratio,”
    <i>Monthly Notices of the Royal Astronomical Society</i>, vol. 531, no. 4. Oxford
    University Press, pp. 4584–4597, 2024.'
  ista: 'Scoggins MT, Haiman Z. 2024. Diagnosing the massive-seed pathway to high-redshift
    black holes: statistics of the evolving black hole to host galaxy mass ratio.
    Monthly Notices of the Royal Astronomical Society. 531(4), 4584–4597.'
  mla: 'Scoggins, Matthew T., and Zoltán Haiman. “Diagnosing the Massive-Seed Pathway
    to High-Redshift Black Holes: Statistics of the Evolving Black Hole to Host Galaxy
    Mass Ratio.” <i>Monthly Notices of the Royal Astronomical Society</i>, vol. 531,
    no. 4, Oxford University Press, 2024, pp. 4584–97, doi:<a href="https://doi.org/10.1093/mnras/stae1449">10.1093/mnras/stae1449</a>.'
  short: M.T. Scoggins, Z. Haiman, Monthly Notices of the Royal Astronomical Society
    531 (2024) 4584–4597.
date_created: 2024-09-05T09:43:52Z
date_published: 2024-06-13T00:00:00Z
date_updated: 2024-09-12T09:08:08Z
day: '13'
doi: 10.1093/mnras/stae1449
extern: '1'
intvolume: '       531'
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/https://doi.org/10.1093/mnras/stae1449
month: '06'
oa: 1
oa_version: Published Version
page: 4584-4597
publication: Monthly Notices of the Royal Astronomical Society
publication_identifier:
  issn:
  - 0035-8711
  - 1365-2966
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Diagnosing the massive-seed pathway to high-redshift black holes: statistics
  of the evolving black hole to host galaxy mass ratio'
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 531
year: '2024'
...
---
APC_amount: 2748 EUR
OA_place: publisher
OA_type: hybrid
_id: '17634'
abstract:
- lang: eng
  text: System behaviors are traditionally evaluated through binary classifications
    of correctness, which do not suffice for properties involving quantitative aspects
    of systems and executions. Quantitative automata offer a more nuanced approach,
    mapping each execution to a real number by incorporating weighted transitions
    and value functions generalizing acceptance conditions. In this paper, we introduce
    QuAK, the first tool designed to automate the analysis of quantitative automata.
    QuAK currently supports a variety of quantitative automaton types, including Inf,
    Sup, LimInf, LimSup, LimInfAvg, and LimSupAvg automata, and implements decision
    procedures for problems such as emptiness, universality, inclusion, equivalence,
    as well as for checking whether an automaton is safe, live, or constant. Additionally,
    QuAK is able to compute extremal values when possible, construct safety-liveness
    decompositions, and monitor system behaviors. We demonstrate the effectiveness
    of QuAK through experiments focusing on the inclusion, constant-function check,
    and monitoring problems.
acknowledgement: This work was supported in part by the ERC-2020-AdG 101020093. N.
  Mazzocchi was affiliated with ISTA when his collaboration started.
alternative_title:
- LNCS
article_processing_charge: Yes (in subscription journal)
arxiv: 1
author:
- first_name: Marek
  full_name: Chalupa, Marek
  id: 87e34708-d6c6-11ec-9f5b-9391e7be2463
  last_name: Chalupa
- first_name: Thomas A
  full_name: Henzinger, Thomas A
  id: 40876CD8-F248-11E8-B48F-1D18A9856A87
  last_name: Henzinger
  orcid: 0000-0002-2985-7724
- first_name: Nicolas Adrien
  full_name: Mazzocchi, Nicolas Adrien
  id: b26baa86-3308-11ec-87b0-8990f34baa85
  last_name: Mazzocchi
- first_name: Naci E
  full_name: Sarac, Naci E
  id: 8C6B42F8-C8E6-11E9-A03A-F2DCE5697425
  last_name: Sarac
citation:
  ama: 'Chalupa M, Henzinger TA, Mazzocchi NA, Sarac NE. QuAK: Quantitative Automata
    Kit. In: <i>12th International Symposium on Leveraging Applications of Formal
    Methods, Verification and Validation</i>. Vol 15222. Springer Nature; 2024:3-20.
    doi:<a href="https://doi.org/10.1007/978-3-031-75387-9_1">10.1007/978-3-031-75387-9_1</a>'
  apa: 'Chalupa, M., Henzinger, T. A., Mazzocchi, N. A., &#38; Sarac, N. E. (2024).
    QuAK: Quantitative Automata Kit. In <i>12th International Symposium on Leveraging
    Applications of Formal Methods, Verification and Validation</i> (Vol. 15222, pp.
    3–20). Crete, Greece: Springer Nature. <a href="https://doi.org/10.1007/978-3-031-75387-9_1">https://doi.org/10.1007/978-3-031-75387-9_1</a>'
  chicago: 'Chalupa, Marek, Thomas A Henzinger, Nicolas Adrien Mazzocchi, and Naci
    E Sarac. “QuAK: Quantitative Automata Kit.” In <i>12th International Symposium
    on Leveraging Applications of Formal Methods, Verification and Validation</i>,
    15222:3–20. Springer Nature, 2024. <a href="https://doi.org/10.1007/978-3-031-75387-9_1">https://doi.org/10.1007/978-3-031-75387-9_1</a>.'
  ieee: 'M. Chalupa, T. A. Henzinger, N. A. Mazzocchi, and N. E. Sarac, “QuAK: Quantitative
    Automata Kit,” in <i>12th International Symposium on Leveraging Applications of
    Formal Methods, Verification and Validation</i>, Crete, Greece, 2024, vol. 15222,
    pp. 3–20.'
  ista: 'Chalupa M, Henzinger TA, Mazzocchi NA, Sarac NE. 2024. QuAK: Quantitative
    Automata Kit. 12th International Symposium on Leveraging Applications of Formal
    Methods, Verification and Validation. ISoLA: International Symposium on Leveraging
    Applications, LNCS, vol. 15222, 3–20.'
  mla: 'Chalupa, Marek, et al. “QuAK: Quantitative Automata Kit.” <i>12th International
    Symposium on Leveraging Applications of Formal Methods, Verification and Validation</i>,
    vol. 15222, Springer Nature, 2024, pp. 3–20, doi:<a href="https://doi.org/10.1007/978-3-031-75387-9_1">10.1007/978-3-031-75387-9_1</a>.'
  short: M. Chalupa, T.A. Henzinger, N.A. Mazzocchi, N.E. Sarac, in:, 12th International
    Symposium on Leveraging Applications of Formal Methods, Verification and Validation,
    Springer Nature, 2024, pp. 3–20.
conference:
  end_date: 2024-10-31
  location: Crete, Greece
  name: 'ISoLA: International Symposium on Leveraging Applications'
  start_date: 2024-10-27
corr_author: '1'
date_created: 2024-09-05T14:27:08Z
date_published: 2024-10-26T00:00:00Z
date_updated: 2026-04-07T12:02:57Z
day: '26'
ddc:
- '000'
department:
- _id: GradSch
- _id: ToHe
doi: 10.1007/978-3-031-75387-9_1
ec_funded: 1
external_id:
  arxiv:
  - '2409.03569'
  isi:
  - '001419008700001'
file:
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intvolume: '     15222'
isi: 1
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 3-20
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
  call_identifier: H2020
  grant_number: '101020093'
  name: Vigilant Algorithmic Monitoring of Software
publication: 12th International Symposium on Leveraging Applications of Formal Methods,
  Verification and Validation
publication_identifier:
  eissn:
  - 1611-3349
  isbn:
  - '9783031753862'
  issn:
  - 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
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    status: public
scopus_import: '1'
status: public
title: 'QuAK: Quantitative Automata Kit'
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: conference
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 15222
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:
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  checksum: d3303724e8d3c91321d71bbad4062048
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  creator: lgonzale
  date_created: 2024-09-27T10:32:33Z
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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
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  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'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '17852'
abstract:
- lang: eng
  text: Metal-metal contacts, though not yet widely realized, may provide exciting
    opportunities to serve as tunable and functional interfaces in single-molecule
    devices. One of the simplest components which might facilitate such binding interactions
    is the ferrocene group. Notably, direct bonds between the ferrocene iron center
    and metals such as Pd or Co have been demonstrated in molecular complexes comprising
    coordinating ligands attached to the cyclopentadienyl rings. Here, we demonstrate
    that ferrocene-based single-molecule devices with Fe-Au interfacial contact geometries
    form at room temperature in the absence of supporting coordinating ligands. Applying
    a photoredox reaction, we propose that ferrocene only functions effectively as
    a contact group when oxidized, binding to gold through a formal Fe<jats:sup>3+</jats:sup>
    center. This observation is further supported by a series of control measurements
    and density functional theory calculations. Our findings extend the scope of junction
    contact chemistries beyond those involving main group elements, lay the foundation
    for light switchable ferrocene-based single-molecule devices, and highlight new
    potential mechanistic function(s) of unsubstituted ferrocenium groups in synthetic
    processes.
article_number: '1439'
article_processing_charge: Yes
article_type: original
author:
- first_name: Woojung
  full_name: Lee, Woojung
  last_name: Lee
- first_name: Liang
  full_name: Li, Liang
  last_name: Li
- first_name: María
  full_name: Camarasa-Gómez, María
  last_name: Camarasa-Gómez
- first_name: Daniel
  full_name: Hernangómez-Pérez, Daniel
  last_name: Hernangómez-Pérez
- first_name: Xavier
  full_name: Roy, Xavier
  last_name: Roy
- first_name: Ferdinand
  full_name: Evers, Ferdinand
  last_name: Evers
- first_name: Michael S.
  full_name: Inkpen, Michael S.
  last_name: Inkpen
- first_name: Latha
  full_name: Venkataraman, Latha
  id: 9ebb78a5-cc0d-11ee-8322-fae086a32caf
  last_name: Venkataraman
  orcid: 0000-0002-6957-6089
citation:
  ama: Lee W, Li L, Camarasa-Gómez M, et al. Photooxidation driven formation of Fe-Au
    linked ferrocene-based single-molecule junctions. <i>Nature Communications</i>.
    2024;15. doi:<a href="https://doi.org/10.1038/s41467-024-45707-z">10.1038/s41467-024-45707-z</a>
  apa: Lee, W., Li, L., Camarasa-Gómez, M., Hernangómez-Pérez, D., Roy, X., Evers,
    F., … Venkataraman, L. (2024). Photooxidation driven formation of Fe-Au linked
    ferrocene-based single-molecule junctions. <i>Nature Communications</i>. Springer
    Nature. <a href="https://doi.org/10.1038/s41467-024-45707-z">https://doi.org/10.1038/s41467-024-45707-z</a>
  chicago: Lee, Woojung, Liang Li, María Camarasa-Gómez, Daniel Hernangómez-Pérez,
    Xavier Roy, Ferdinand Evers, Michael S. Inkpen, and Latha Venkataraman. “Photooxidation
    Driven Formation of Fe-Au Linked Ferrocene-Based Single-Molecule Junctions.” <i>Nature
    Communications</i>. Springer Nature, 2024. <a href="https://doi.org/10.1038/s41467-024-45707-z">https://doi.org/10.1038/s41467-024-45707-z</a>.
  ieee: W. Lee <i>et al.</i>, “Photooxidation driven formation of Fe-Au linked ferrocene-based
    single-molecule junctions,” <i>Nature Communications</i>, vol. 15. Springer Nature,
    2024.
  ista: Lee W, Li L, Camarasa-Gómez M, Hernangómez-Pérez D, Roy X, Evers F, Inkpen
    MS, Venkataraman L. 2024. Photooxidation driven formation of Fe-Au linked ferrocene-based
    single-molecule junctions. Nature Communications. 15, 1439.
  mla: Lee, Woojung, et al. “Photooxidation Driven Formation of Fe-Au Linked Ferrocene-Based
    Single-Molecule Junctions.” <i>Nature Communications</i>, vol. 15, 1439, Springer
    Nature, 2024, doi:<a href="https://doi.org/10.1038/s41467-024-45707-z">10.1038/s41467-024-45707-z</a>.
  short: W. Lee, L. Li, M. Camarasa-Gómez, D. Hernangómez-Pérez, X. Roy, F. Evers,
    M.S. Inkpen, L. Venkataraman, Nature Communications 15 (2024).
date_created: 2024-09-06T12:38:44Z
date_published: 2024-02-16T00:00:00Z
date_updated: 2024-11-18T10:47:10Z
day: '16'
doi: 10.1038/s41467-024-45707-z
extern: '1'
external_id:
  pmid:
  - '38365892'
intvolume: '        15'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1038/s41467-024-45707-z
month: '02'
oa: 1
oa_version: Published Version
pmid: 1
publication: Nature Communications
publication_identifier:
  issn:
  - 2041-1723
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Photooxidation driven formation of Fe-Au linked ferrocene-based single-molecule
  junctions
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 15
year: '2024'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '17885'
abstract:
- lang: eng
  text: 'The formation of new ribosomes is tightly coordinated with cell growth and
    proliferation. In eukaryotes, the correct assembly of all ribosomal proteins and
    RNAs follows an intricate scheme of maturation and rearrangement steps across
    three cellular compartments: the nucleolus, nucleoplasm, and cytoplasm. We demonstrate
    that usnic acid, a lichen secondary metabolite, inhibits the maturation of the
    large ribosomal subunit in yeast. We combine biochemical characterization of pre-ribosomal
    particles with a quantitative single-particle cryo-EM approach to monitor changes
    in nucleolar particle populations upon drug treatment. Usnic acid rapidly blocks
    the transition from nucleolar state B to C of Nsa1-associated pre-ribosomes, depleting
    key maturation factors such as Dbp10 and hindering pre-rRNA processing. This primary
    nucleolar block rapidly rebounds on earlier stages of the pathway which highlights
    the regulatory linkages between different steps. In summary, we provide an in-depth
    characterization of the effect of usnic acid on ribosome biogenesis, which may
    have implications for its reported anti-cancer activities.'
acknowledged_ssus:
- _id: EM-Fac
acknowledgement: We thank Michael A. McAlear, Micheline Fromont-Racin, Philipp Milkereit,
  Arlen W. Johnson, Sabine Rospert, Ed Hurt, C. Yam, Günter Daum, Wolfgang Zachariae,
  Katrin Karbstein, Juan P. G. Ballesta, Mercedes Dosil, Miguel Remacha und Jesus
  de la Cruz for sharing strains or providing antibodies. We thank the members of
  the Bergler lab and the Haselbach lab for their helpful discussion. We thank Ellen
  Zhong for helpful discussions about the quantitative cryoDRGN analysis. This research
  was supported by the Scientific Service Units of IST Austria through resources provided
  by the Electron Microscopy Facility. This research was funded in whole, or in part,
  by the Austrian Science Foundation grants [https://doi.org/10.55776/P32977], [https://doi.org/10.55776/P29451]
  and [https://doi.org/10.55776/P32536] (to H.B.). Research at the IMP is generously
  supported by Boehringer Ingelheim and the Austrian Research Promotion Agency (Headquarter
  grant FFG-852936). For the purpose of open access, the author has applied a CC BY
  public copyright licence to any Author Accepted Manuscript version arising from
  this submission.
article_number: '7511'
article_processing_charge: Yes
article_type: original
author:
- first_name: Lisa
  full_name: Kofler, Lisa
  last_name: Kofler
- first_name: Lorenz
  full_name: Grundmann, Lorenz
  last_name: Grundmann
- first_name: Magdalena
  full_name: Gerhalter, Magdalena
  last_name: Gerhalter
- first_name: Michael
  full_name: Prattes, Michael
  last_name: Prattes
- first_name: Juliane
  full_name: Merl-Pham, Juliane
  last_name: Merl-Pham
- first_name: Gertrude
  full_name: Zisser, Gertrude
  last_name: Zisser
- first_name: Irina
  full_name: Grishkovskaya, Irina
  last_name: Grishkovskaya
- first_name: Victor-Valentin
  full_name: Hodirnau, Victor-Valentin
  id: 3661B498-F248-11E8-B48F-1D18A9856A87
  last_name: Hodirnau
  orcid: 0000-0003-3904-947X
- first_name: Martin
  full_name: Vareka, Martin
  last_name: Vareka
- first_name: Rolf
  full_name: Breinbauer, Rolf
  last_name: Breinbauer
- first_name: Stefanie M.
  full_name: Hauck, Stefanie M.
  last_name: Hauck
- first_name: David
  full_name: Haselbach, David
  last_name: Haselbach
- first_name: Helmut
  full_name: Bergler, Helmut
  last_name: Bergler
citation:
  ama: Kofler L, Grundmann L, Gerhalter M, et al. The novel ribosome biogenesis inhibitor
    usnic acid blocks nucleolar pre-60S maturation. <i>Nature Communications</i>.
    2024;15. doi:<a href="https://doi.org/10.1038/s41467-024-51754-3">10.1038/s41467-024-51754-3</a>
  apa: Kofler, L., Grundmann, L., Gerhalter, M., Prattes, M., Merl-Pham, J., Zisser,
    G., … Bergler, H. (2024). The novel ribosome biogenesis inhibitor usnic acid blocks
    nucleolar pre-60S maturation. <i>Nature Communications</i>. Springer Nature. <a
    href="https://doi.org/10.1038/s41467-024-51754-3">https://doi.org/10.1038/s41467-024-51754-3</a>
  chicago: Kofler, Lisa, Lorenz Grundmann, Magdalena Gerhalter, Michael Prattes, Juliane
    Merl-Pham, Gertrude Zisser, Irina Grishkovskaya, et al. “The Novel Ribosome Biogenesis
    Inhibitor Usnic Acid Blocks Nucleolar Pre-60S Maturation.” <i>Nature Communications</i>.
    Springer Nature, 2024. <a href="https://doi.org/10.1038/s41467-024-51754-3">https://doi.org/10.1038/s41467-024-51754-3</a>.
  ieee: L. Kofler <i>et al.</i>, “The novel ribosome biogenesis inhibitor usnic acid
    blocks nucleolar pre-60S maturation,” <i>Nature Communications</i>, vol. 15. Springer
    Nature, 2024.
  ista: Kofler L, Grundmann L, Gerhalter M, Prattes M, Merl-Pham J, Zisser G, Grishkovskaya
    I, Hodirnau V-V, Vareka M, Breinbauer R, Hauck SM, Haselbach D, Bergler H. 2024.
    The novel ribosome biogenesis inhibitor usnic acid blocks nucleolar pre-60S maturation.
    Nature Communications. 15, 7511.
  mla: Kofler, Lisa, et al. “The Novel Ribosome Biogenesis Inhibitor Usnic Acid Blocks
    Nucleolar Pre-60S Maturation.” <i>Nature Communications</i>, vol. 15, 7511, Springer
    Nature, 2024, doi:<a href="https://doi.org/10.1038/s41467-024-51754-3">10.1038/s41467-024-51754-3</a>.
  short: L. Kofler, L. Grundmann, M. Gerhalter, M. Prattes, J. Merl-Pham, G. Zisser,
    I. Grishkovskaya, V.-V. Hodirnau, M. Vareka, R. Breinbauer, S.M. Hauck, D. Haselbach,
    H. Bergler, Nature Communications 15 (2024).
date_created: 2024-09-08T22:01:10Z
date_published: 2024-08-29T00:00:00Z
date_updated: 2025-09-08T09:13:01Z
day: '29'
ddc:
- '570'
department:
- _id: EM-Fac
doi: 10.1038/s41467-024-51754-3
external_id:
  isi:
  - '001457895200001'
  pmid:
  - '39209816'
file:
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  checksum: 7c044538a47182c826d1b526c52958a2
  content_type: application/pdf
  creator: dernst
  date_created: 2024-09-09T08:56:12Z
  date_updated: 2024-09-09T08:56:12Z
  file_id: '17946'
  file_name: 2024_NatureComm_Kofler.pdf
  file_size: 3735024
  relation: main_file
  success: 1
file_date_updated: 2024-09-09T08:56:12Z
has_accepted_license: '1'
intvolume: '        15'
isi: 1
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
pmid: 1
publication: Nature Communications
publication_identifier:
  eissn:
  - 2041-1723
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: The novel ribosome biogenesis inhibitor usnic acid blocks nucleolar pre-60S
  maturation
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: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 15
year: '2024'
...
---
OA_place: publisher
OA_type: hybrid
_id: '17886'
abstract:
- lang: eng
  text: 'Thin pancake-like neuronal networks cultured on top of a planar microelectrode
    array have been extensively tried out in neuroengineering, as a substrate for
    the mobile robot’s control unit, i.e., as a cyborg’s brain. Most of these attempts
    failed due to intricate self-organizing dynamics in the neuronal systems. In particular,
    the networks may exhibit an emergent spatial map of steady nucleation sites (“n-sites”)
    of spontaneous population spikes. Being unpredictable and independent of the surface
    electrode locations, the n-sites drastically change local ability of the network
    to generate spikes. Here, using a spiking neuronal network model with generative
    spatially-embedded connectome, we systematically show in simulations that the
    number, location, and relative activity of spontaneously formed n-sites (“the
    vitals”) crucially depend on the samplings of three distributions: (1) the network
    distribution of neuronal excitability, (2) the distribution of connections between
    neurons of the network, and (3) the distribution of maximal amplitudes of a single
    synaptic current pulse. Moreover, blocking the dynamics of a small fraction (about
    4%) of non-pacemaker neurons having the highest excitability was enough to completely
    suppress the occurrence of population spikes and their n-sites. This key result
    is explained theoretically. Remarkably, the n-sites occur taking into account
    only short-term synaptic plasticity, i.e., without a Hebbian-type plasticity.
    As the spiking network model used in this study is strictly deterministic, all
    simulation results can be accurately reproduced. The model, which has already
    demonstrated a very high richness-to-complexity ratio, can also be directly extended
    into the three-dimensional case, e.g., for targeting peculiarities of spiking
    dynamics in cerebral (or brain) organoids. We recommend the model as an excellent
    illustrative tool for teaching network-level computational neuroscience, complementing
    a few benchmark models.'
acknowledgement: A.P. is grateful to Chaitanya Chintaluri, Douglas Feitosa Tomé, and
  Tim P. Vogels for useful discussions. This work was supported by a European Research
  Council Consolidator Grant (SYNAPSEEK, 819603, to Tim P. Vogels).
article_number: '106589'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Dmitrii
  full_name: Zendrikov, Dmitrii
  last_name: Zendrikov
- first_name: Alexander
  full_name: Paraskevov, Alexander
  id: d05e3c56-9262-11ed-9231-be692464e5ac
  last_name: Paraskevov
citation:
  ama: Zendrikov D, Paraskevov A. The vitals for steady nucleation maps of spontaneous
    spiking coherence in autonomous two-dimensional neuronal networks. <i>Neural Networks</i>.
    2024;180. doi:<a href="https://doi.org/10.1016/j.neunet.2024.106589">10.1016/j.neunet.2024.106589</a>
  apa: Zendrikov, D., &#38; Paraskevov, A. (2024). The vitals for steady nucleation
    maps of spontaneous spiking coherence in autonomous two-dimensional neuronal networks.
    <i>Neural Networks</i>. Elsevier. <a href="https://doi.org/10.1016/j.neunet.2024.106589">https://doi.org/10.1016/j.neunet.2024.106589</a>
  chicago: Zendrikov, Dmitrii, and Alexander Paraskevov. “The Vitals for Steady Nucleation
    Maps of Spontaneous Spiking Coherence in Autonomous Two-Dimensional Neuronal Networks.”
    <i>Neural Networks</i>. Elsevier, 2024. <a href="https://doi.org/10.1016/j.neunet.2024.106589">https://doi.org/10.1016/j.neunet.2024.106589</a>.
  ieee: D. Zendrikov and A. Paraskevov, “The vitals for steady nucleation maps of
    spontaneous spiking coherence in autonomous two-dimensional neuronal networks,”
    <i>Neural Networks</i>, vol. 180. Elsevier, 2024.
  ista: Zendrikov D, Paraskevov A. 2024. The vitals for steady nucleation maps of
    spontaneous spiking coherence in autonomous two-dimensional neuronal networks.
    Neural Networks. 180, 106589.
  mla: Zendrikov, Dmitrii, and Alexander Paraskevov. “The Vitals for Steady Nucleation
    Maps of Spontaneous Spiking Coherence in Autonomous Two-Dimensional Neuronal Networks.”
    <i>Neural Networks</i>, vol. 180, 106589, Elsevier, 2024, doi:<a href="https://doi.org/10.1016/j.neunet.2024.106589">10.1016/j.neunet.2024.106589</a>.
  short: D. Zendrikov, A. Paraskevov, Neural Networks 180 (2024).
corr_author: '1'
date_created: 2024-09-08T22:01:10Z
date_published: 2024-12-01T00:00:00Z
date_updated: 2025-09-08T09:12:20Z
day: '01'
ddc:
- '570'
department:
- _id: TiVo
doi: 10.1016/j.neunet.2024.106589
ec_funded: 1
external_id:
  isi:
  - '001316474600001'
  pmid:
  - '39217864'
file:
- access_level: open_access
  checksum: 6a194323234e01d4ae725f674529cdb1
  content_type: application/pdf
  creator: dernst
  date_created: 2025-01-13T08:26:08Z
  date_updated: 2025-01-13T08:26:08Z
  file_id: '18825'
  file_name: 2024_NeuralNetworks_Zendrikov.pdf
  file_size: 6162281
  relation: main_file
  success: 1
file_date_updated: 2025-01-13T08:26:08Z
has_accepted_license: '1'
intvolume: '       180'
isi: 1
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 0aacfa84-070f-11eb-9043-d7eb2c709234
  call_identifier: H2020
  grant_number: '819603'
  name: Learning the shape of synaptic plasticity rules for neuronal architectures
    and function through machine learning.
publication: Neural Networks
publication_identifier:
  eissn:
  - 1879-2782
  issn:
  - 0893-6080
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: The vitals for steady nucleation maps of spontaneous spiking coherence in autonomous
  two-dimensional neuronal networks
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: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 180
year: '2024'
...
---
_id: '17888'
abstract:
- lang: eng
  text: "Context: Biotic resource exploitation is a critical determinant of species’
    distributions. However, quantifying resource exploitation patterns through space
    and time can be difficult, complicating their incorporation in spatial ecology
    studies. Therefore, understanding the local drivers of spatial patterns of resource
    exploitation may contribute to better large-scale species distribution models.\r\nObjectives:
    We investigated (1) how the resource exploitation patterns of two trophic interactions
    (plant–insect) are explained by insect behaviour, resource aggregation, and potential
    insect-insect interactions. We also analyzed how (2) resource patch size and (3)
    resource accessibility in a heterogeneous landscape affected host exploitation
    patterns.\r\nMethods: We quantified nectar robbing by insects in the genus Bombus
    (bumblebees) and seed predation by Brachypterolus vestitus larvae (Antirrhinum
    beetle) on Antirrhinum majus L. (wild snapdragons) in the Pyrenees Mountains,
    Catalonia, Spain. We tested hypotheses about resource exploitation by integrating
    spatial analyses at multiple scales.\r\nResults: Both trophic interactions were
    aggregated, explained by the aggregation of their resource. At some scales, nectar
    robbing is more aggregated than the resource. Trophic interaction abundance is
    proportional to resource patch size, following the ideal free distribution model.
    Landscape features do not explain the locations exploited. Nectar robbing and
    seed predation occur together more often than expected.\r\nConclusions: Our findings
    suggest that multiple biotic and ecological spatial factors may simultaneously
    affect resource exploitation at a local scale. These findings should be considered
    when developing agricultural projects, management plans and conservation policies."
acknowledgement: "For the beetle barcoding, we are very thankful to Brent Emerson’s
  laboratory at the Consejo Superior de Investigaciones Científicas (CSIC) at the
  Instituto de Productos Naturales y Agrobiología (IPNA) in La Laguna, Tenerife. Many
  thanks to numerous field assistants, especially Sandra Cuevas Gallego, Beatriz Pablo
  Carmona, Luís Santos Cid and Alex Fuster, for their assistance in data collection.
  Finally, we thank Jesús Muñoz, Virgilio Gómez-Rubio, and two anonymous reviewers
  for comments that greatly improved the quality of the manuscript.\r\nOpen access
  funding provided by Institute of Science and Technology (IST Austria). CB received
  funding from the European Union’s Horizon 2020 research and innovation programme
  under the Marie Skłodowska-Curie Grant Agreement No. 754411. NB was funded by the
  FWF grant “Löwenmaul speciation” P 32166-B32."
article_number: '172'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Guillem
  full_name: Pocull Belles, Guillem
  id: 54359172-700c-11ef-a103-c1d91ceac6d6
  last_name: Pocull Belles
- first_name: Carina
  full_name: Baskett, Carina
  id: 3B4A7CE2-F248-11E8-B48F-1D18A9856A87
  last_name: Baskett
  orcid: 0000-0002-7354-8574
- first_name: Nicholas H
  full_name: Barton, Nicholas H
  id: 4880FE40-F248-11E8-B48F-1D18A9856A87
  last_name: Barton
  orcid: 0000-0002-8548-5240
citation:
  ama: 'Pocull Belles G, Baskett C, Barton NH. Multiscale spatial analysis of two
    plant–insect interactions: Effects of landscape, resource distribution, and other
    insects. <i>Landscape Ecology</i>. 2024;39(9). doi:<a href="https://doi.org/10.1007/s10980-024-01899-9">10.1007/s10980-024-01899-9</a>'
  apa: 'Pocull Belles, G., Baskett, C., &#38; Barton, N. H. (2024). Multiscale spatial
    analysis of two plant–insect interactions: Effects of landscape, resource distribution,
    and other insects. <i>Landscape Ecology</i>. Springer Nature. <a href="https://doi.org/10.1007/s10980-024-01899-9">https://doi.org/10.1007/s10980-024-01899-9</a>'
  chicago: 'Pocull Belles, Guillem, Carina Baskett, and Nicholas H Barton. “Multiscale
    Spatial Analysis of Two Plant–Insect Interactions: Effects of Landscape, Resource
    Distribution, and Other Insects.” <i>Landscape Ecology</i>. Springer Nature, 2024.
    <a href="https://doi.org/10.1007/s10980-024-01899-9">https://doi.org/10.1007/s10980-024-01899-9</a>.'
  ieee: 'G. Pocull Belles, C. Baskett, and N. H. Barton, “Multiscale spatial analysis
    of two plant–insect interactions: Effects of landscape, resource distribution,
    and other insects,” <i>Landscape Ecology</i>, vol. 39, no. 9. Springer Nature,
    2024.'
  ista: 'Pocull Belles G, Baskett C, Barton NH. 2024. Multiscale spatial analysis
    of two plant–insect interactions: Effects of landscape, resource distribution,
    and other insects. Landscape Ecology. 39(9), 172.'
  mla: 'Pocull Belles, Guillem, et al. “Multiscale Spatial Analysis of Two Plant–Insect
    Interactions: Effects of Landscape, Resource Distribution, and Other Insects.”
    <i>Landscape Ecology</i>, vol. 39, no. 9, 172, Springer Nature, 2024, doi:<a href="https://doi.org/10.1007/s10980-024-01899-9">10.1007/s10980-024-01899-9</a>.'
  short: G. Pocull Belles, C. Baskett, N.H. Barton, Landscape Ecology 39 (2024).
corr_author: '1'
date_created: 2024-09-08T22:01:11Z
date_published: 2024-09-01T00:00:00Z
date_updated: 2025-09-08T09:20:11Z
day: '01'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1007/s10980-024-01899-9
ec_funded: 1
external_id:
  isi:
  - '001304011900001'
file:
- access_level: open_access
  checksum: 2e1cbc320ec1b4447a5a8562a90bcbc3
  content_type: application/pdf
  creator: dernst
  date_created: 2024-09-11T07:14:03Z
  date_updated: 2024-09-11T07:14:03Z
  file_id: '18054'
  file_name: 2024_LandscapeEcology_Pocull.pdf
  file_size: 1494987
  relation: main_file
  success: 1
file_date_updated: 2024-09-11T07:14:03Z
has_accepted_license: '1'
intvolume: '        39'
isi: 1
issue: '9'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '754411'
  name: ISTplus - Postdoctoral Fellowships
- _id: 05959E1C-7A3F-11EA-A408-12923DDC885E
  grant_number: P32166
  name: Snapdragon Speciation
publication: Landscape Ecology
publication_identifier:
  eissn:
  - 1572-9761
  issn:
  - 0921-2973
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Multiscale spatial analysis of two plant–insect interactions: Effects of landscape,
  resource distribution, and other insects'
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: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 39
year: '2024'
...
---
_id: '17892'
abstract:
- lang: eng
  text: "Enzyme-substrate kinetics form the basis of many biomolecular processes.
    The interplay between substrate binding and substrate geometry can give rise to
    long-range interactions between enzyme binding events. Here we study a general
    model of enzyme-substrate kinetics with restricted long-range interactions described
    by an exponent −\U0001D6FE. We employ a coherent-state path integral and renormalization
    group approach to calculate the first moment and two-point correlation function
    of the enzyme-binding profile. We show that starting from an empty substrate the
    average occupancy follows a power law with an exponent 1/(1−\U0001D6FE) over time.
    The correlation function decays algebraically with two distinct spatial regimes
    characterized by exponents −\U0001D6FE on short distances and −(2/3)⁢(2−\U0001D6FE)
    on long distances. The crossover between both regimes scales inversely with the
    average substrate occupancy. Our work allows associating experimental measurements
    of bound enzyme locations with their binding kinetics and the spatial conformation
    of the substrate."
acknowledgement: We thank F. Piazza, M. Henkel, and F. Jülicher for helpful feedback
  and the entire Rulands group for fruitful discussions. We thank W. Reik, S. Clark,
  T. Lohoff, and I. Kafetzopoulos for fruitful discussions about the biological aspects
  of this work. This project has received funding from the European Research Council
  (ERC) under the European Union's Horizon 2020 research and innovation program (Grant
  No. 950349). This project has received funding from the European Union's Horizon
  2020 research and innovation programme under the Marie Skłodowska-Curie Grant No.
  101034413.
article_number: '024404'
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Fabrizio
  full_name: Olmeda, Fabrizio
  id: 69dbf5fb-8a76-11ed-866b-fb486d8b5689
  last_name: Olmeda
- first_name: Steffen
  full_name: Rulands, Steffen
  last_name: Rulands
citation:
  ama: Olmeda F, Rulands S. Field theory of enzyme-substrate systems with restricted
    long-range interactions. <i>Physical Review E</i>. 2024;110(2). doi:<a href="https://doi.org/10.1103/PhysRevE.110.024404">10.1103/PhysRevE.110.024404</a>
  apa: Olmeda, F., &#38; Rulands, S. (2024). Field theory of enzyme-substrate systems
    with restricted long-range interactions. <i>Physical Review E</i>. American Physical
    Society. <a href="https://doi.org/10.1103/PhysRevE.110.024404">https://doi.org/10.1103/PhysRevE.110.024404</a>
  chicago: Olmeda, Fabrizio, and Steffen Rulands. “Field Theory of Enzyme-Substrate
    Systems with Restricted Long-Range Interactions.” <i>Physical Review E</i>. American
    Physical Society, 2024. <a href="https://doi.org/10.1103/PhysRevE.110.024404">https://doi.org/10.1103/PhysRevE.110.024404</a>.
  ieee: F. Olmeda and S. Rulands, “Field theory of enzyme-substrate systems with restricted
    long-range interactions,” <i>Physical Review E</i>, vol. 110, no. 2. American
    Physical Society, 2024.
  ista: Olmeda F, Rulands S. 2024. Field theory of enzyme-substrate systems with restricted
    long-range interactions. Physical Review E. 110(2), 024404.
  mla: Olmeda, Fabrizio, and Steffen Rulands. “Field Theory of Enzyme-Substrate Systems
    with Restricted Long-Range Interactions.” <i>Physical Review E</i>, vol. 110,
    no. 2, 024404, American Physical Society, 2024, doi:<a href="https://doi.org/10.1103/PhysRevE.110.024404">10.1103/PhysRevE.110.024404</a>.
  short: F. Olmeda, S. Rulands, Physical Review E 110 (2024).
corr_author: '1'
date_created: 2024-09-08T22:01:12Z
date_published: 2024-08-01T00:00:00Z
date_updated: 2025-09-08T09:17:18Z
day: '01'
ddc:
- '530'
department:
- _id: EdHa
doi: 10.1103/PhysRevE.110.024404
ec_funded: 1
external_id:
  isi:
  - '001299670100004'
  pmid:
  - '39294986'
file:
- access_level: open_access
  checksum: 67fc2cc8eee3155e5c3b7380307d8284
  content_type: application/pdf
  creator: dernst
  date_created: 2024-09-11T05:59:36Z
  date_updated: 2024-09-11T05:59:36Z
  file_id: '18053'
  file_name: 2024_PhysReviewE_Olmeda.pdf
  file_size: 445696
  relation: main_file
  success: 1
file_date_updated: 2024-09-11T05:59:36Z
has_accepted_license: '1'
intvolume: '       110'
isi: 1
issue: '2'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
  call_identifier: H2020
  grant_number: '101034413'
  name: 'IST-BRIDGE: International postdoctoral program'
publication: Physical Review E
publication_identifier:
  eissn:
  - 2470-0053
  issn:
  - 2470-0045
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Field theory of enzyme-substrate systems with restricted long-range interactions
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 110
year: '2024'
...
---
OA_place: publisher
OA_type: hybrid
_id: '18065'
abstract:
- lang: eng
  text: We establish a close connection between acceleration and dynamical degree
    for one-frequency quasi-periodic compact cocycles, by showing that two vectors
    derived separately from each coincide. Based on this, we provide a dynamical classification
    of one-frequency quasi-periodic  SO(3, R)-cocycles.
acknowledgement: "X. Hou is partially supported by National Natural Science Foundation
  of China (Grant \r\n12071083) and Funds for Distinguished Youths of Hubei Province
  of China (\r\n2019CFA680). Y. Pan is supported by ERC Advanced Grant (#885707).
  Q. Zhou is partially supported by National Key R&D Program of China (2020YFA0713300),
  NSFC grant (\r\n12071232) and Nankai Zhide Foundation."
article_number: '109943'
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Xuanji
  full_name: Hou, Xuanji
  last_name: Hou
- first_name: Yi
  full_name: Pan, Yi
  id: 1e21c7f7-9070-11eb-847d-8b04c7169523
  last_name: Pan
- first_name: Qi
  full_name: Zhou, Qi
  last_name: Zhou
citation:
  ama: Hou X, Pan Y, Zhou Q. Dynamical classification of analytic one-frequency quasi-periodic
    SO(3,R)-cocycles. <i>Advances in Mathematics</i>. 2024;457. doi:<a href="https://doi.org/10.1016/j.aim.2024.109943">10.1016/j.aim.2024.109943</a>
  apa: Hou, X., Pan, Y., &#38; Zhou, Q. (2024). Dynamical classification of analytic
    one-frequency quasi-periodic SO(3,R)-cocycles. <i>Advances in Mathematics</i>.
    Elsevier. <a href="https://doi.org/10.1016/j.aim.2024.109943">https://doi.org/10.1016/j.aim.2024.109943</a>
  chicago: Hou, Xuanji, Yi Pan, and Qi Zhou. “Dynamical Classification of Analytic
    One-Frequency Quasi-Periodic SO(3,R)-Cocycles.” <i>Advances in Mathematics</i>.
    Elsevier, 2024. <a href="https://doi.org/10.1016/j.aim.2024.109943">https://doi.org/10.1016/j.aim.2024.109943</a>.
  ieee: X. Hou, Y. Pan, and Q. Zhou, “Dynamical classification of analytic one-frequency
    quasi-periodic SO(3,R)-cocycles,” <i>Advances in Mathematics</i>, vol. 457. Elsevier,
    2024.
  ista: Hou X, Pan Y, Zhou Q. 2024. Dynamical classification of analytic one-frequency
    quasi-periodic SO(3,R)-cocycles. Advances in Mathematics. 457, 109943.
  mla: Hou, Xuanji, et al. “Dynamical Classification of Analytic One-Frequency Quasi-Periodic
    SO(3,R)-Cocycles.” <i>Advances in Mathematics</i>, vol. 457, 109943, Elsevier,
    2024, doi:<a href="https://doi.org/10.1016/j.aim.2024.109943">10.1016/j.aim.2024.109943</a>.
  short: X. Hou, Y. Pan, Q. Zhou, Advances in Mathematics 457 (2024).
corr_author: '1'
date_created: 2024-09-15T22:01:39Z
date_published: 2024-11-01T00:00:00Z
date_updated: 2025-09-08T09:44:19Z
day: '01'
ddc:
- '510'
department:
- _id: VaKa
doi: 10.1016/j.aim.2024.109943
ec_funded: 1
external_id:
  arxiv:
  - '2311.17537'
  isi:
  - '001315306500001'
file:
- access_level: open_access
  checksum: 1c80b844a91d93cf4799f4a65873b18d
  content_type: application/pdf
  creator: dernst
  date_created: 2025-01-13T08:29:27Z
  date_updated: 2025-01-13T08:29:27Z
  file_id: '18826'
  file_name: 2024_AdvancesMath_Hou.pdf
  file_size: 713659
  relation: main_file
  success: 1
file_date_updated: 2025-01-13T08:29:27Z
has_accepted_license: '1'
intvolume: '       457'
isi: 1
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
project:
- _id: 9B8B92DE-BA93-11EA-9121-9846C619BF3A
  call_identifier: H2020
  grant_number: '885707'
  name: Spectral rigidity and integrability for billiards and geodesic flows
publication: Advances in Mathematics
publication_identifier:
  eissn:
  - 1090-2082
  issn:
  - 0001-8708
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Dynamical classification of analytic one-frequency quasi-periodic SO(3,R)-cocycles
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: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 457
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: '18113'
abstract:
- lang: eng
  text: 'The emergence of accurate open large language models (LLMs) has led to a
    race towards performant quantization techniques which can enable their execution
    on end-user devices. In this paper, we revisit the problem of “extreme” LLM compression—defined
    as targeting extremely low bit counts, such as 2 to 3 bits per parameter—from
    the point of view of classic methods in Multi-Codebook Quantization (MCQ). Our
    algorithm, called AQLM, generalizes the classic Additive Quantization (AQ) approach
    for information retrieval to advance the state-of-the-art in LLM compression,
    via two innovations: 1) learned additive quantization of weight matrices in input-adaptive
    fashion, and 2) joint optimization of codebook parameters across each transformer
    blocks. Broadly, AQLM is the first scheme that is Pareto optimal in terms of accuracy-vs-model-size
    when compressing to less than 3 bits per parameter, and significantly improves
    upon all known schemes in the extreme compression (2bit) regime. In addition,
    AQLM is practical: we provide fast GPU and CPU implementations of AQLM for token
    generation, which enable us to match or outperform optimized FP16 implementations
    for speed, while executing in a much smaller memory footprint.'
acknowledgement: "Authors would like to thank Ruslan Svirschevski for his help in
  solving technical issues with AQLM and baselines. We also thank Tim Dettmers for
  helpful discussions on the structure of weights in modern LLMs and size-accuracy
  trade-offs. The authors would also like to thank Daniil Pavlov for his assistance
  with CPU benchmarking. Finally, authors would like to thank the communities of ML
  enthusiasts known as LocalLLaMA5 and Petals community on discord6\r\nfor the crowd
  wisdom about running LLMs on consumer devices. Egiazarian Vage and Denis Kuznedelev
  and Andrei Panferov were supported by the grant for research centers in the field
  of AI provided by the Analytical Center for the Government of the Russian Federation
  (ACRF) in\r\naccordance with the agreement on the provision of subsidies (identifier
  of the agreement 000000D730321P5Q0002) and the agreement with HSE University No.
  70-2021-00139."
alternative_title:
- PMLR
article_processing_charge: No
arxiv: 1
author:
- first_name: Vage
  full_name: Egiazarian, Vage
  last_name: Egiazarian
- first_name: Andrei
  full_name: Panferov, Andrei
  id: 2c18daae-4dbe-11ef-8491-98ce2d960f09
  last_name: Panferov
- first_name: Denis
  full_name: Kuznedelev, Denis
  last_name: Kuznedelev
- first_name: Elias
  full_name: Frantar, Elias
  id: 09a8f98d-ec99-11ea-ae11-c063a7b7fe5f
  last_name: Frantar
- first_name: Artem
  full_name: Babenko, Artem
  last_name: Babenko
- 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: 'Egiazarian V, Panferov A, Kuznedelev D, Frantar E, Babenko A, Alistarh D-A.
    Extreme compression of large language models via additive quantization. In: <i>Proceedings
    of the 41st International Conference on Machine Learning</i>. Vol 235. ML Research
    Press; 2024:12284-12303.'
  apa: 'Egiazarian, V., Panferov, A., Kuznedelev, D., Frantar, E., Babenko, A., &#38;
    Alistarh, D.-A. (2024). Extreme compression of large language models via additive
    quantization. In <i>Proceedings of the 41st International Conference on Machine
    Learning</i> (Vol. 235, pp. 12284–12303). Vienna, Austria: ML Research Press.'
  chicago: Egiazarian, Vage, Andrei Panferov, Denis Kuznedelev, Elias Frantar, Artem
    Babenko, and Dan-Adrian Alistarh. “Extreme Compression of Large Language Models
    via Additive Quantization.” In <i>Proceedings of the 41st International Conference
    on Machine Learning</i>, 235:12284–303. ML Research Press, 2024.
  ieee: V. Egiazarian, A. Panferov, D. Kuznedelev, E. Frantar, A. Babenko, and D.-A.
    Alistarh, “Extreme compression of large language models via additive quantization,”
    in <i>Proceedings of the 41st International Conference on Machine Learning</i>,
    Vienna, Austria, 2024, vol. 235, pp. 12284–12303.
  ista: 'Egiazarian V, Panferov A, Kuznedelev D, Frantar E, Babenko A, Alistarh D-A.
    2024. Extreme compression of large language models via additive quantization.
    Proceedings of the 41st International Conference on Machine Learning. ICML: International
    Conference on Machine Learning, PMLR, vol. 235, 12284–12303.'
  mla: Egiazarian, Vage, et al. “Extreme Compression of Large Language Models via
    Additive Quantization.” <i>Proceedings of the 41st International Conference on
    Machine Learning</i>, vol. 235, ML Research Press, 2024, pp. 12284–303.
  short: V. Egiazarian, A. Panferov, D. Kuznedelev, E. Frantar, A. Babenko, D.-A.
    Alistarh, in:, Proceedings of the 41st International Conference on Machine Learning,
    ML Research Press, 2024, pp. 12284–12303.
conference:
  end_date: 2024-07-27
  location: Vienna, Austria
  name: 'ICML: International Conference on Machine Learning'
  start_date: 2024-07-21
corr_author: '1'
date_created: 2024-09-22T22:01:43Z
date_published: 2024-09-01T00:00:00Z
date_updated: 2024-10-01T08:13:05Z
day: '01'
department:
- _id: DaAl
- _id: GradSch
external_id:
  arxiv:
  - '2401.06118'
intvolume: '       235'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: ' https://doi.org/10.48550/arXiv.2401.06118'
month: '09'
oa: 1
oa_version: Preprint
page: 12284-12303
publication: Proceedings of the 41st International Conference on Machine Learning
publication_identifier:
  eissn:
  - 2640-3498
publication_status: published
publisher: ML Research Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Extreme compression of large language models via additive quantization
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 235
year: '2024'
...
---
OA_place: publisher
_id: '18132'
abstract:
- lang: eng
  text: "In this thesis, we are dealing with both arithmetic and geometric problems
    coming from the\r\nstudy of rational points with a particular focus on function
    fields over finite fields:\r\n(1) Using the circle method we produce upper bounds
    for the number of rational points of\r\nbounded height on diagonal cubic surfaces
    and fourfolds over Fq(t). This is based on\r\njoint work with Leonhard Hochfilzer.\r\n(2)
    We study rational points on smooth complete intersections X defined by cubic and\r\nquadratic
    hypersurfaces over Fq(t). We refine the Farey dissection of the “unit square”\r\ndeveloped
    by Vishe [202] and use the circle method with a Kloosterman refinement to\r\nestablish
    an asymptotic formula for the number of rational points of bounded height on\r\nX
    when dim(X) ≥ 23. Under the same hypotheses, we also verify weak approximation.\r\n(3)
    In joint work with Hochfilzer, we obtain upper bounds for the number of rational
    points of\r\nbounded height on del Pezzo surfaces of low degree over any global
    field. Our approach\r\nis to take hyperplane sections, which reduces the problem
    to uniform estimates for the\r\nnumber of rational points on curves.\r\n(4) We
    develop a version of the circle method capable of counting Fq-points on jet schemes\r\nof
    moduli spaces of rational curves on hypersurfaces. Combining this with a spreading\r\nout
    argument and a result of Mustaţă [150], this allows us to show that these moduli\r\nspaces
    only have canonical singularities under suitable assumptions on the degree and
    the\r\ndimension.\r\nIn addition, we give an overview of guiding questions and
    conjectures in the field of rational\r\npoints and explain the basic mechanism
    underlying the circle method.\r\n"
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Jakob
  full_name: Glas, Jakob
  id: d6423cba-dc74-11ea-a0a7-ee61689ff5fb
  last_name: Glas
citation:
  ama: Glas J. Counting rational points over function fields. 2024. doi:<a href="https://doi.org/10.15479/at:ista:18132">10.15479/at:ista:18132</a>
  apa: Glas, J. (2024). <i>Counting rational points over function fields</i>. Institute
    of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:18132">https://doi.org/10.15479/at:ista:18132</a>
  chicago: Glas, Jakob. “Counting Rational Points over Function Fields.” Institute
    of Science and Technology Austria, 2024. <a href="https://doi.org/10.15479/at:ista:18132">https://doi.org/10.15479/at:ista:18132</a>.
  ieee: J. Glas, “Counting rational points over function fields,” Institute of Science
    and Technology Austria, 2024.
  ista: Glas J. 2024. Counting rational points over function fields. Institute of
    Science and Technology Austria.
  mla: Glas, Jakob. <i>Counting Rational Points over Function Fields</i>. Institute
    of Science and Technology Austria, 2024, doi:<a href="https://doi.org/10.15479/at:ista:18132">10.15479/at:ista:18132</a>.
  short: J. Glas, Counting Rational Points over Function Fields, Institute of Science
    and Technology Austria, 2024.
corr_author: '1'
date_created: 2024-09-23T18:58:08Z
date_published: 2024-09-23T00:00:00Z
date_updated: 2026-04-07T12:53:54Z
day: '23'
ddc:
- '512'
degree_awarded: PhD
department:
- _id: GradSch
- _id: TiBr
doi: 10.15479/at:ista:18132
file:
- access_level: closed
  checksum: 2f8cf5cefdab108b1979caa8146cae9a
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  date_created: 2024-09-23T18:49:22Z
  date_updated: 2024-09-23T18:49:22Z
  file_id: '18133'
  file_name: PhDthesis (3).zip
  file_size: 5382106
  relation: source_file
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  checksum: 08bb6f14c42b47ff25882a2ce3ea0d8a
  content_type: application/pdf
  creator: jglas
  date_created: 2024-09-25T14:08:57Z
  date_updated: 2024-09-25T14:08:57Z
  file_id: '18140'
  file_name: example-phd.pdf
  file_size: 2380127
  relation: main_file
  success: 1
file_date_updated: 2024-09-25T14:08:57Z
has_accepted_license: '1'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc/4.0/
month: '09'
oa: 1
oa_version: Published Version
page: '195'
project:
- _id: bd8a4fdc-d553-11ed-ba76-80a0167441a3
  grant_number: P36278
  name: Rational curves via function field analytic number theory
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '18293'
    relation: part_of_dissertation
    status: public
  - id: '18294'
    relation: part_of_dissertation
    status: public
  - id: '18295'
    relation: part_of_dissertation
    status: public
  - id: '18173'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Timothy D
  full_name: Browning, Timothy D
  id: 35827D50-F248-11E8-B48F-1D18A9856A87
  last_name: Browning
  orcid: 0000-0002-8314-0177
title: Counting rational points over function fields
tmp:
  image: /images/cc_by_nc.png
  legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
  short: CC BY-NC (4.0)
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2024'
...
---
OA_place: publisher
_id: '18135'
abstract:
- lang: eng
  text: "This thesis consists of two separate parts. In the first part we consider
    a dilute Fermi gas interacting through a repulsive interaction in dimensions $d=1,2,3$.
    Our focus is mostly on the physically most relevant dimension $d=3$ \r\nand the
    setting of a spin-polarized (equivalently spinless) gas, where the Pauli exclusion
    principle plays a key role. We show that, at zero temperature, the ground state
    energy density of the interacting spin-polarized gas differs (to leading order)
    from that of the free (i.e. non-interacting) gas by a term of order $a_p^d\\rho^{2+2/d}$
    \ with $a_p$ the $p$-wave scattering length of the repulsive interaction and $\\rho$
    the density. Further, we extend this to positive temperature and show that the
    pressure of an interacting spin-polarized gas differs from that of the free gas
    by a now temperature dependent term, again of order $a_p^d\\rho^{2+2/d}$. Lastly,
    we consider the setting of a spin-$\\frac{1}{2}$ Fermi gas in $d=3$ dimensions
    and show that here, as an upper bound, the ground state energy density differs
    from that of the free system by a term of order $a_s \\rho^2$ with an error smaller
    than $a_s \\rho^2 (a_s\\rho^{1/3})^{1-\\eps}$ for any $\\eps > 0$, where $a_s$
    is the $s$-wave scattering length of the repulsive interaction. \r\n\r\nThese
    asymptotic formulas complement the similar formulas in the literature for the
    dilute Bose and spin-$\\frac{1}{2}$ Fermi gas, where the ground state energies
    or pressures differ from that of the corresponding free systems by a term of order
    $a_s \\rho^2$ in dimension $d=3$. In the spin-polarized setting, the corrections,
    of order $a_p^3\\rho^{8/3}$ in dimension $d=3$, are thus much smaller and requires
    a more delicate analysis.\r\n\r\nIn the second part of the thesis we consider
    the Bardeen--Cooper--Schrieffer (BCS) theory of superconductivity and in particular
    its associated critical temperature and energy gap. We prove that the ratio of
    the zero-temperature energy gap and critical temperature $\\Xi(T=0)/T_c$ approaches
    a universal constant $\\pi e^{-\\gamma}\\approx 1.76$ in both the limit of high
    density in dimension $d=3$ and in the limit of weak coupling in dimensions $d=1,2$.
    This complements the proofs in the literature of this universal behaviour in the
    limit of weak coupling or low density in dimension $d=3$. Secondly, we prove that
    the ratio of the energy gap at positive temperature and critical temperature $\\Xi(T)/T_c$
    approaches a universal function of the relative temperature $T/T_c$ in the limit
    of weak coupling in dimensions $d=1,2,3$."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Asbjørn Bækgaard
  full_name: Lauritsen, Asbjørn Bækgaard
  id: e1a2682f-dc8d-11ea-abe3-81da9ac728f1
  last_name: Lauritsen
  orcid: 0000-0003-4476-2288
citation:
  ama: Lauritsen AB. Energies of dilute Fermi gases and universalities in BCS theory.
    2024. doi:<a href="https://doi.org/10.15479/at:ista:18135">10.15479/at:ista:18135</a>
  apa: Lauritsen, A. B. (2024). <i>Energies of dilute Fermi gases and universalities
    in BCS theory</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:18135">https://doi.org/10.15479/at:ista:18135</a>
  chicago: Lauritsen, Asbjørn Bækgaard. “Energies of Dilute Fermi Gases and Universalities
    in BCS Theory.” Institute of Science and Technology Austria, 2024. <a href="https://doi.org/10.15479/at:ista:18135">https://doi.org/10.15479/at:ista:18135</a>.
  ieee: A. B. Lauritsen, “Energies of dilute Fermi gases and universalities in BCS
    theory,” Institute of Science and Technology Austria, 2024.
  ista: Lauritsen AB. 2024. Energies of dilute Fermi gases and universalities in BCS
    theory. Institute of Science and Technology Austria.
  mla: Lauritsen, Asbjørn Bækgaard. <i>Energies of Dilute Fermi Gases and Universalities
    in BCS Theory</i>. Institute of Science and Technology Austria, 2024, doi:<a href="https://doi.org/10.15479/at:ista:18135">10.15479/at:ista:18135</a>.
  short: A.B. Lauritsen, Energies of Dilute Fermi Gases and Universalities in BCS
    Theory, Institute of Science and Technology Austria, 2024.
corr_author: '1'
date_created: 2024-09-24T10:56:25Z
date_published: 2024-09-23T00:00:00Z
date_updated: 2026-04-16T08:17:55Z
day: '23'
ddc:
- '515'
- '539'
degree_awarded: PhD
department:
- _id: GradSch
- _id: RoSe
doi: 10.15479/at:ista:18135
ec_funded: 1
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  date_updated: 2024-09-26T13:11:24Z
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  file_size: 3648831
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  success: 1
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file_date_updated: 2024-09-26T13:12:55Z
has_accepted_license: '1'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: '353'
project:
- _id: bda63fe5-d553-11ed-ba76-a16e3d2f256b
  grant_number: I06427
  name: Mathematical Challenges in BCS Theory of Superconductivity
- _id: 25C6DC12-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '694227'
  name: Analysis of quantum many-body systems
publication_identifier:
  isbn:
  - 978-3-99078-042-8
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '11732'
    relation: part_of_dissertation
    status: public
  - id: '14542'
    relation: part_of_dissertation
    status: public
  - id: '18107'
    relation: part_of_dissertation
    status: public
  - id: '17240'
    relation: part_of_dissertation
    status: public
  - id: '14931'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Robert
  full_name: Seiringer, Robert
  id: 4AFD0470-F248-11E8-B48F-1D18A9856A87
  last_name: Seiringer
  orcid: 0000-0002-6781-0521
title: Energies of dilute Fermi gases and universalities in 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: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2024'
...
---
_id: '18155'
abstract:
- lang: eng
  text: We study the classical problem of verifying programs with respect to formal
    specifications given in the linear temporal logic (LTL). We first present novel
    sound and complete witnesses for LTL verification over imperative programs. Our
    witnesses are applicable to both verification (proving) and refutation (finding
    bugs) settings. We then consider LTL formulas in which atomic propositions can
    be polynomial constraints and turn our focus to polynomial arithmetic programs,
    i.e. programs in which every assignment and guard consists only of polynomial
    expressions. For this setting, we provide an efficient algorithm to automatically
    synthesize such LTL witnesses. Our synthesis procedure is both sound and semi-complete.
    Finally, we present experimental results demonstrating the effectiveness of our
    approach and that it can handle programs which were beyond the reach of previous
    state-of-the-art tools.
acknowledgement: This work was supported in part by the ERC-2020-CoG 863818 (FoRM-SMArt)
  and the Hong Kong Research Grants Council ECS Project Number 26208122.
alternative_title:
- LNCS
article_processing_charge: Yes (in subscription journal)
arxiv: 1
author:
- first_name: Krishnendu
  full_name: Chatterjee, Krishnendu
  id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
  last_name: Chatterjee
  orcid: 0000-0002-4561-241X
- first_name: Amir Kafshdar
  full_name: Goharshady, Amir Kafshdar
  id: 391365CE-F248-11E8-B48F-1D18A9856A87
  last_name: Goharshady
  orcid: 0000-0003-1702-6584
- first_name: Ehsan
  full_name: Goharshady, Ehsan
  last_name: Goharshady
- first_name: Mehrdad
  full_name: Karrabi, Mehrdad
  id: 67638922-f394-11eb-9cf6-f20423e08757
  last_name: Karrabi
- first_name: Dorde
  full_name: Zikelic, Dorde
  id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
  last_name: Zikelic
  orcid: 0000-0002-4681-1699
citation:
  ama: 'Chatterjee K, Goharshady AK, Goharshady E, Karrabi M, Zikelic D. Sound and complete
    witnesses for template-based verification of LTL properties on polynomial programs.
    In: <i>Lecture Notes in Computer Science (Including Subseries Lecture Notes in
    Artificial Intelligence and Lecture Notes in Bioinformatics)</i>. Vol 14933. Springer
    Nature; 2024:600-619. doi:<a href="https://doi.org/10.1007/978-3-031-71162-6_31">10.1007/978-3-031-71162-6_31</a>'
  apa: 'Chatterjee, K., Goharshady, A. K., Goharshady, E., Karrabi, M., &#38; Zikelic,
    D. (2024). Sound and complete witnesses for template-based verification of LTL
    properties on polynomial programs. In <i>Lecture Notes in Computer Science (including
    subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)</i>
    (Vol. 14933, pp. 600–619). Milan, Italy: Springer Nature. <a href="https://doi.org/10.1007/978-3-031-71162-6_31">https://doi.org/10.1007/978-3-031-71162-6_31</a>'
  chicago: Chatterjee, Krishnendu, Amir Kafshdar Goharshady, Ehsan Goharshady, Mehrdad
    Karrabi, and Dorde Zikelic. “Sound and Complete Witnesses for Template-Based Verification
    of LTL Properties on Polynomial Programs.” In <i>Lecture Notes in Computer Science
    (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes
    in Bioinformatics)</i>, 14933:600–619. Springer Nature, 2024. <a href="https://doi.org/10.1007/978-3-031-71162-6_31">https://doi.org/10.1007/978-3-031-71162-6_31</a>.
  ieee: K. Chatterjee, A. K. Goharshady, E. Goharshady, M. Karrabi, and D. Zikelic,
    “Sound and complete witnesses for template-based verification of LTL properties
    on polynomial programs,” in <i>Lecture Notes in Computer Science (including subseries
    Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)</i>,
    Milan, Italy, 2024, vol. 14933, pp. 600–619.
  ista: 'Chatterjee K, Goharshady AK, Goharshady E, Karrabi M, Zikelic D. 2024. Sound
    and complete witnesses for template-based verification of LTL properties on polynomial
    programs. Lecture Notes in Computer Science (including subseries Lecture Notes
    in Artificial Intelligence and Lecture Notes in Bioinformatics). FM: Formal Methods,
    LNCS, vol. 14933, 600–619.'
  mla: Chatterjee, Krishnendu, et al. “Sound and Complete Witnesses for Template-Based
    Verification of LTL Properties on Polynomial Programs.” <i>Lecture Notes in Computer
    Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture
    Notes in Bioinformatics)</i>, vol. 14933, Springer Nature, 2024, pp. 600–19, doi:<a
    href="https://doi.org/10.1007/978-3-031-71162-6_31">10.1007/978-3-031-71162-6_31</a>.
  short: K. Chatterjee, A.K. Goharshady, E. Goharshady, M. Karrabi, D. Zikelic, in:,
    Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial
    Intelligence and Lecture Notes in Bioinformatics), Springer Nature, 2024, pp.
    600–619.
conference:
  end_date: 2024-09-13
  location: Milan, Italy
  name: 'FM: Formal Methods'
  start_date: 2024-09-09
corr_author: '1'
date_created: 2024-09-29T22:01:37Z
date_published: 2024-09-11T00:00:00Z
date_updated: 2025-09-08T09:51:34Z
day: '11'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1007/978-3-031-71162-6_31
ec_funded: 1
external_id:
  arxiv:
  - '2403.05386'
  isi:
  - '001336893300031'
file:
- access_level: open_access
  checksum: 223845be9e754681ee218866827c95e7
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  creator: dernst
  date_created: 2024-10-01T09:56:54Z
  date_updated: 2024-10-01T09:56:54Z
  file_id: '18165'
  file_name: 2024_LNCS_Chatterjee.pdf
  file_size: 650495
  relation: main_file
  success: 1
file_date_updated: 2024-10-01T09:56:54Z
has_accepted_license: '1'
intvolume: '     14933'
isi: 1
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: 600-619
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
  call_identifier: H2020
  grant_number: '863818'
  name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: Lecture Notes in Computer Science (including subseries Lecture Notes
  in Artificial Intelligence and Lecture Notes in Bioinformatics)
publication_identifier:
  eissn:
  - 1611-3349
  isbn:
  - '9783031711619'
  issn:
  - 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Sound and complete witnesses for template-based verification of LTL properties
  on polynomial programs
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: conference
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 14933
year: '2024'
...
---
_id: '18173'
abstract:
- lang: eng
  text: Using a two-dimensional version of the delta method, we establish an asymptotic
    formula for the number of rational points of bounded height on non-singular complete
    intersections of cubic and quadric hypersurfaces of dimension at least 23 over
    Fq(t), provided char (Fq)>3. Under the same hypotheses, we also verify weak approximation.
acknowledgement: The author would like to thank his supervisor Tim Browning for suggesting
  this project and many helpful conversations and Pankaj Vishe for useful comments.
  Moreover, he is grateful to Dante Bonolis and Julian Lyczak for sharing their expertise
  in exponential sums and geometry. While working on this paper, the author was supported
  by FWF grant (DOI 10.55776/P36278).
article_number: e12991
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Jakob
  full_name: Glas, Jakob
  id: d6423cba-dc74-11ea-a0a7-ee61689ff5fb
  last_name: Glas
citation:
  ama: Glas J. Rational points on complete intersections of cubic and quadric hypersurfaces
    over Fq(t). <i>Journal of the London Mathematical Society</i>. 2024;110(4). doi:<a
    href="https://doi.org/10.1112/jlms.12991">10.1112/jlms.12991</a>
  apa: Glas, J. (2024). Rational points on complete intersections of cubic and quadric
    hypersurfaces over Fq(t). <i>Journal of the London Mathematical Society</i>. London
    Mathematical Society. <a href="https://doi.org/10.1112/jlms.12991">https://doi.org/10.1112/jlms.12991</a>
  chicago: Glas, Jakob. “Rational Points on Complete Intersections of Cubic and Quadric
    Hypersurfaces over Fq(T).” <i>Journal of the London Mathematical Society</i>.
    London Mathematical Society, 2024. <a href="https://doi.org/10.1112/jlms.12991">https://doi.org/10.1112/jlms.12991</a>.
  ieee: J. Glas, “Rational points on complete intersections of cubic and quadric hypersurfaces
    over Fq(t),” <i>Journal of the London Mathematical Society</i>, vol. 110, no.
    4. London Mathematical Society, 2024.
  ista: Glas J. 2024. Rational points on complete intersections of cubic and quadric
    hypersurfaces over Fq(t). Journal of the London Mathematical Society. 110(4),
    e12991.
  mla: Glas, Jakob. “Rational Points on Complete Intersections of Cubic and Quadric
    Hypersurfaces over Fq(T).” <i>Journal of the London Mathematical Society</i>,
    vol. 110, no. 4, e12991, London Mathematical Society, 2024, doi:<a href="https://doi.org/10.1112/jlms.12991">10.1112/jlms.12991</a>.
  short: J. Glas, Journal of the London Mathematical Society 110 (2024).
corr_author: '1'
date_created: 2024-10-06T22:01:11Z
date_published: 2024-10-01T00:00:00Z
date_updated: 2026-04-07T12:53:53Z
day: '01'
ddc:
- '510'
department:
- _id: TiBr
doi: 10.1112/jlms.12991
external_id:
  arxiv:
  - '2306.02718'
file:
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  creator: dernst
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  date_updated: 2024-10-07T08:51:01Z
  file_id: '18181'
  file_name: 2024_JLondonMathSoc_Glas.pdf
  file_size: 579601
  relation: main_file
  success: 1
file_date_updated: 2024-10-07T08:51:01Z
has_accepted_license: '1'
intvolume: '       110'
issue: '4'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
project:
- _id: bd8a4fdc-d553-11ed-ba76-80a0167441a3
  grant_number: P36278
  name: Rational curves via function field analytic number theory
publication: Journal of the London Mathematical Society
publication_identifier:
  eissn:
  - 1469-7750
  issn:
  - 0024-6107
publication_status: published
publisher: London Mathematical Society
quality_controlled: '1'
related_material:
  record:
  - id: '18132'
    relation: dissertation_contains
    status: public
scopus_import: '1'
status: public
title: Rational points on complete intersections of cubic and quadric hypersurfaces
  over Fq(t)
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: 110
year: '2024'
...
---
_id: '18177'
abstract:
- lang: eng
  text: Partially Specified Boolean Networks (PSBNs) represent a family of Boolean
    models resulting from possible interpretations of unknown update logics. Hybrid
    extension of CTL (HCTL) has the power to express complex dynamical phenomena,
    such as oscillations or stability. We present BNClassifier to classify Boolean
    Networks corresponding to a given PSBN according to criteria specified in HCTL.
    The implementation of the tool is fully symbolic (based on BDDs). The results
    are visualised using the machine-learning-based technology of decision trees.
acknowledgement: The work has been supported by the Czech Science Foundation grant
  No. GA22-10845S. This project has received funding from the European Union’s Horizon
  2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement
  No. 101034413.
alternative_title:
- LNBI
article_processing_charge: No
author:
- first_name: Nikola
  full_name: Beneš, Nikola
  last_name: Beneš
- first_name: Luboš
  full_name: Brim, Luboš
  last_name: Brim
- first_name: Ondřej
  full_name: Huvar, Ondřej
  last_name: Huvar
- first_name: Samuel
  full_name: Pastva, Samuel
  id: 07c5ea74-f61c-11ec-a664-aa7c5d957b2b
  last_name: Pastva
  orcid: 0000-0003-1993-0331
- first_name: David
  full_name: Šafránek, David
  last_name: Šafránek
citation:
  ama: 'Beneš N, Brim L, Huvar O, Pastva S, Šafránek D. BNClassifier: Classifying
    boolean models by dynamic properties. In: <i>Computational Methods in Systems
    Biology</i>. Vol 14971. Springer Nature; 2024:19-26. doi:<a href="https://doi.org/10.1007/978-3-031-71671-3_2">10.1007/978-3-031-71671-3_2</a>'
  apa: 'Beneš, N., Brim, L., Huvar, O., Pastva, S., &#38; Šafránek, D. (2024). BNClassifier:
    Classifying boolean models by dynamic properties. In <i>Computational Methods
    in Systems Biology</i> (Vol. 14971, pp. 19–26). Springer Nature. <a href="https://doi.org/10.1007/978-3-031-71671-3_2">https://doi.org/10.1007/978-3-031-71671-3_2</a>'
  chicago: 'Beneš, Nikola, Luboš Brim, Ondřej Huvar, Samuel Pastva, and David Šafránek.
    “BNClassifier: Classifying Boolean Models by Dynamic Properties.” In <i>Computational
    Methods in Systems Biology</i>, 14971:19–26. Springer Nature, 2024. <a href="https://doi.org/10.1007/978-3-031-71671-3_2">https://doi.org/10.1007/978-3-031-71671-3_2</a>.'
  ieee: 'N. Beneš, L. Brim, O. Huvar, S. Pastva, and D. Šafránek, “BNClassifier: Classifying
    boolean models by dynamic properties,” in <i>Computational Methods in Systems
    Biology</i>, 2024, vol. 14971, pp. 19–26.'
  ista: 'Beneš N, Brim L, Huvar O, Pastva S, Šafránek D. 2024. BNClassifier: Classifying
    boolean models by dynamic properties. Computational Methods in Systems Biology.
    , LNBI, vol. 14971, 19–26.'
  mla: 'Beneš, Nikola, et al. “BNClassifier: Classifying Boolean Models by Dynamic
    Properties.” <i>Computational Methods in Systems Biology</i>, vol. 14971, Springer
    Nature, 2024, pp. 19–26, doi:<a href="https://doi.org/10.1007/978-3-031-71671-3_2">10.1007/978-3-031-71671-3_2</a>.'
  short: N. Beneš, L. Brim, O. Huvar, S. Pastva, D. Šafránek, in:, Computational Methods
    in Systems Biology, Springer Nature, 2024, pp. 19–26.
date_created: 2024-10-06T22:01:12Z
date_published: 2024-09-19T00:00:00Z
date_updated: 2025-09-08T09:54:27Z
day: '19'
department:
- _id: ToHe
doi: 10.1007/978-3-031-71671-3_2
ec_funded: 1
external_id:
  isi:
  - '001333144400002'
intvolume: '     14971'
isi: 1
language:
- iso: eng
month: '09'
oa_version: None
page: 19-26
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
  call_identifier: H2020
  grant_number: '101034413'
  name: 'IST-BRIDGE: International postdoctoral program'
publication: Computational Methods in Systems Biology
publication_identifier:
  eissn:
  - 1611-3349
  isbn:
  - '9783031716706'
  issn:
  - 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'BNClassifier: Classifying boolean models by dynamic properties'
type: conference
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 14971
year: '2024'
...
---
_id: '18206'
abstract:
- lang: eng
  text: In the context of in vitro fertilization (IVF), selecting embryos for transfer
    is critical in determining pregnancy outcomes, with implantation as the essential
    first milestone for a successful pregnancy. This study introduces the Bonna algorithm,
    an advanced deep-learning framework engineered to predict embryo implantation
    probabilities. The algorithm employs a sophisticated integration of machine-learning
    techniques, utilizing MobileNetV2 for pixel and context embedding, a custom Pix2Pix
    model for precise segmentation, and a Vision Transformer for additional depth
    in embedding. MobileNetV2 was chosen for its robust feature extraction capabilities,
    focusing on textures and edges. The custom Pix2Pix model is adapted for precise
    segmentation of significant biological features such as the zona pellucida and
    blastocyst cavity. The Vision Transformer adds a global perspective, capturing
    complex patterns not apparent in local image segments. Tested on a dataset of
    images of human blastocysts collected from Ukraine, Israel, and Spain, the Bonna
    algorithm was rigorously validated through 10-fold cross-validation to ensure
    its robustness and reliability. It demonstrates superior performance with a mean
    area under the receiver operating characteristic curve (AUC) of 0.754, significantly
    outperforming existing models. The study not only advances predictive accuracy
    in embryo selection but also highlights the algorithm’s clinical applicability
    due to reliable confidence reporting.
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Gilad
  full_name: Rave, Gilad
  last_name: Rave
- first_name: Daniel E.
  full_name: Fordham, Daniel E.
  last_name: Fordham
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
- first_name: David H.
  full_name: Silver, David H.
  last_name: Silver
citation:
  ama: 'Rave G, Fordham DE, Bronstein AM, Silver DH. Enhancing predictive accuracy
    in embryo implantation: The Bonna algorithm and its clinical implications. In:
    <i>First International Conference on Artificial Intelligence in Healthcare</i>.
    Vol 14976. Springer Nature; 2024:160-171. doi:<a href="https://doi.org/10.1007/978-3-031-67285-9_12">10.1007/978-3-031-67285-9_12</a>'
  apa: 'Rave, G., Fordham, D. E., Bronstein, A. M., &#38; Silver, D. H. (2024). Enhancing
    predictive accuracy in embryo implantation: The Bonna algorithm and its clinical
    implications. In <i>First International Conference on Artificial Intelligence
    in Healthcare</i> (Vol. 14976, pp. 160–171). Swansea, United Kingdom: Springer
    Nature. <a href="https://doi.org/10.1007/978-3-031-67285-9_12">https://doi.org/10.1007/978-3-031-67285-9_12</a>'
  chicago: 'Rave, Gilad, Daniel E. Fordham, Alex M. Bronstein, and David H. Silver.
    “Enhancing Predictive Accuracy in Embryo Implantation: The Bonna Algorithm and Its
    Clinical Implications.” In <i>First International Conference on Artificial Intelligence
    in Healthcare</i>, 14976:160–71. Springer Nature, 2024. <a href="https://doi.org/10.1007/978-3-031-67285-9_12">https://doi.org/10.1007/978-3-031-67285-9_12</a>.'
  ieee: 'G. Rave, D. E. Fordham, A. M. Bronstein, and D. H. Silver, “Enhancing predictive
    accuracy in embryo implantation: The Bonna algorithm and its clinical implications,”
    in <i>First International Conference on Artificial Intelligence in Healthcare</i>,
    Swansea, United Kingdom, 2024, vol. 14976, pp. 160–171.'
  ista: 'Rave G, Fordham DE, Bronstein AM, Silver DH. 2024. Enhancing predictive accuracy
    in embryo implantation: The Bonna algorithm and its clinical implications. First
    International Conference on Artificial Intelligence in Healthcare. AIiH: Artificial
    Intelligence in Healthcare, LNCS, vol. 14976, 160–171.'
  mla: 'Rave, Gilad, et al. “Enhancing Predictive Accuracy in Embryo Implantation:
    The Bonna Algorithm and Its Clinical Implications.” <i>First International Conference
    on Artificial Intelligence in Healthcare</i>, vol. 14976, Springer Nature, 2024,
    pp. 160–71, doi:<a href="https://doi.org/10.1007/978-3-031-67285-9_12">10.1007/978-3-031-67285-9_12</a>.'
  short: G. Rave, D.E. Fordham, A.M. Bronstein, D.H. Silver, in:, First International
    Conference on Artificial Intelligence in Healthcare, Springer Nature, 2024, pp.
    160–171.
conference:
  end_date: 2024-09-06
  location: Swansea, United Kingdom
  name: 'AIiH: Artificial Intelligence in Healthcare'
  start_date: 2024-09-04
date_created: 2024-10-08T12:46:23Z
date_published: 2024-08-15T00:00:00Z
date_updated: 2024-10-09T10:33:39Z
day: '15'
doi: 10.1007/978-3-031-67285-9_12
extern: '1'
intvolume: '     14976'
language:
- iso: eng
month: '08'
oa_version: None
page: 160-171
publication: First International Conference on Artificial Intelligence in Healthcare
publication_identifier:
  eisbn:
  - '9783031672859'
  eissn:
  - 1611-3349
  isbn:
  - '9783031672842'
  issn:
  - 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Enhancing predictive accuracy in embryo implantation: The Bonna algorithm
  and its clinical implications'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 14976
year: '2024'
...
