Information Theory and Physics

Presentations

• Connecting relevant information to coarse-graining in biological systems

  ORAL · Invited

  March 6, 2024, 11:30 AM – March 6, 2024, 12:06 PM

  Publication: Palmer, S. E., Marre, O., Berry, M. J., & Bialek, W. (2015). Predictive information in a sensory population. Proceedings of the National Academy of Sciences, 112(22), 6908-6913.
  
  Sederberg, A. J., MacLean, J. N., & Palmer, S. E. (2018). Learning to make external sensory stimulus predictions using internal correlations in populations of neurons. Proceedings of the National Academy of Sciences, 115(5), 1105-1110.
  
  Sachdeva, V., Mora, T., Walczak, A. M., & Palmer, S. E. (2021). Optimal prediction with resource constraints using the information bottleneck. PLOS Computational Biology, 17(3), e1008743.
  
  Kline, A. G., & Palmer, S. E. (2022). Gaussian information bottleneck and the non-perturbative renormalization group. New journal of physics, 24(3), 033007.
  
  Kline, A. G., & Palmer, S. E. (2023). Multi-Relevance: Coexisting but Distinct Notions of Scale in Large Systems. arXiv preprint arXiv:2305.11009.
  
  
  
  

  Presenters

  • Stephanie E Palmer

    • University of Chicago

  Authors

  • Stephanie E Palmer

    • University of Chicago

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• Trading information among multiple variables

  ORAL

  March 6, 2024, 12:06 PM – March 6, 2024, 12:18 PM

  Publication: [1] M Bauer, M Petkova, T Gregor, EF Wieschaus and W Bialek, Proc Natl Acad Sci (USA) 118, e2109011118 (2021)
  [2] M Bauer and W Bialek, arXiv:2212.12471 [physics.bio-ph] (2022).

  Presenters

  • Marianne Bauer

    • TU Delft

  Authors

  • Marianne Bauer

    • TU Delft

  • William S Bialek

    • Princeton University

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• Coarse-graining retinal responses to reveal predictive information

  ORAL

  March 6, 2024, 12:18 PM – March 6, 2024, 12:30 PM

  Presenters

  • Adam G Kline

    • University of Chicago

  Authors

  • Adam G Kline

    • University of Chicago

  • Aleksandra M Walczak

    • CNRS
    • CNRS, LPENS

  • Thierry Mora

    • LPENS
    • Ecole Normale Superieure
    • CNRS
    • CNRS, LPENS

  • Maciej Koch-Janusz

    • Univ of Zurich

  • Stephanie E Palmer

    • University of Chicago

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• Quantifying information flow in cells

  ORAL

  March 6, 2024, 12:30 PM – March 6, 2024, 12:42 PM

  Presenters

  • Mirna Elizabeta Kramar

    • Institut Curie UMR 168

  Authors

  • Mirna Elizabeta Kramar

    • Institut Curie UMR 168

  • Lauritz Hahn

    • Ecole normale superieure, Paris

  • Aleksandra M Walczak

    • CNRS
    • CNRS, LPENS

  • Thierry Mora

    • LPENS
    • Ecole Normale Superieure
    • CNRS
    • CNRS, LPENS

  • Mathieu Coppey

    • Institut Curie UMR 168

  View abstract →

• ABSTRACT WITHDRAWN

  COFFEE_KLATCH

  March 6, 2024, 12:42 PM – March 6, 2024, 12:54 PM

  View abstract →

• Coordination Between Sub-populations of Interneuron in the Spinal Cord Revealed by Information Theory

  ORAL

  March 6, 2024, 12:54 PM – March 6, 2024, 1:06 PM

  Presenters

  • Weiheng Qin

    • University of California San Diego

  Authors

  • Weiheng Qin

    • University of California San Diego

  • Candida Tufo

    • Salk Institute

  • Ying Zhang

    • Dalhousie University

  • Francisco Alvarez

    • Emory University

  • Martyn Goulding

    • Salk Institute

  • Eiman Azim

    • Salk Institute

  • Graziana Gatto

    • Cologne University Hospital

  • Tatyana O Sharpee

    • Salk Inst

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• Estimating Mutual Information with the Deep Variational Symmetric Information Bottleneck

  ORAL

  March 6, 2024, 1:06 PM – March 6, 2024, 1:18 PM

  Presenters

  • Eslam Abdelaleem

    • Emory University

  Authors

  • Eslam Abdelaleem

    • Emory University

  • K. Michael Martini

    • Emory University

  • Ilya M Nemenman

    • Emory
    • Emory University

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• The information bottleneck learns spectral properties of dynamical systems

  ORAL

  March 6, 2024, 1:18 PM – March 6, 2024, 1:30 PM

  Presenters

  • Matthew Schmitt

    • University of Chicago

  Authors

  • Matthew Schmitt

    • University of Chicago

  • Maciej Koch-Janusz

    • Haiqu Inc.

  • Michel Fruchart

    • ESPCI, Gulliver, Université PSL, CNRS
    • Gulliver, ESPCI Paris, Université PSL, CNRS
    • University of Chicago; ESPCI Paris

  • Daniel Seara

    • University of Chicago

  • Vincenzo Vitelli

    • University of Chicago

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• Obtaining machine learned surrogate underwater acoustics models to enable model reduction

  ORAL

  March 6, 2024, 1:30 PM – March 6, 2024, 1:42 PM

  Presenters

  • Jay C Spendlove

    • Brigham Young University

  Authors

  • Jay C Spendlove

    • Brigham Young University

  • Mark K Transtrum

    • Brigham Young University

  • Tracianne B Neilsen

    • Brigham Young University

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• Extending the Manifold Boundary Approximation Method to reduce large-scale, multi-parameter models

  ORAL

  March 6, 2024, 1:42 PM – March 6, 2024, 1:54 PM

  Presenters

  • Mark K Transtrum

    • Brigham Young University

  Authors

  • Mark K Transtrum

    • Brigham Young University

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• Information Theoretic Characterization of Critical Phenomena in the Ising Model and Flocking Models

  ORAL

  March 6, 2024, 1:54 PM – March 6, 2024, 2:06 PM

  Presenters

  • Sean M Kelty

    • University of Rochester

  Authors

  • Sean M Kelty

    • University of Rochester

  • Gourab Ghoshal

    • University of Rochester

  • Damian R Sowinski

    • University of Rochester

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• Random-Energy Secret Sharing via Extreme Synergy

  ORAL

  March 6, 2024, 2:06 PM – March 6, 2024, 2:18 PM

  Publication: arXiv:2309.14047 [cond-mat.dis-nn]

  Presenters

  • Vudtiwat Ngampruetikorn

    • The Graduate Center, CUNY

  Authors

  • Vudtiwat Ngampruetikorn

    • The Graduate Center, CUNY

  • David J Schwab

    • The Graduate Center, CUNY

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• A Fourier Tour of Protein Function Prediction

  ORAL

  March 6, 2024, 2:18 PM – March 6, 2024, 2:30 PM

  Publication: https://arxiv.org/abs/2301.06200
  https://arxiv.org/abs/2210.02604
  https://www.nature.com/articles/s41467-021-25371-3

  Presenters

  • Amirali Aghazadeh

    • Georgia Institute of Technology

  Authors

  • Amirali Aghazadeh

    • Georgia Institute of Technology

  View abstract →