Statistical Physics Meets Machine Learning II

Presentations

• Statistical Physics and Geometry of Overparameterization

  ORAL · Invited

  March 7, 2023, 8:00 AM – March 7, 2023, 8:36 AM

  Presenters

  • Pankaj Mehta

    • Boston University

  Authors

  • Pankaj Mehta

    • Boston University

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• Zipf's criticality in learning systems

  ORAL

  March 7, 2023, 8:36 AM – March 7, 2023, 8:48 AM

  Presenters

  • Sean A Ridout

    • Emory University

  Authors

  • Sean A Ridout

    • Emory University

  • Ilya M Nemenman

    • Emory
    • Emory University

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• How SGD noise affects performance in distinct regimes of deep learning

  ORAL

  March 7, 2023, 8:48 AM – March 7, 2023, 9:00 AM

  Presenters

  • Antonio Sclocchi

    • EPFL
    • Ecole Polytechnique Federale de Lausanne

  Authors

  • Antonio Sclocchi

    • EPFL
    • Ecole Polytechnique Federale de Lausanne

  • Mario Geiger

    • Massachusetts Institute of Technology

  • Matthieu Wyart

    • Ecole Polytechnique Federale de Lausanne

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• Stochastic gradient descent introduces an effective landscape-dependent regularization favoring flat solutions

  ORAL

  March 7, 2023, 9:00 AM – March 7, 2023, 9:12 AM

  Publication: https://arxiv.org/abs/2206.01246

  Presenters

  • Ning Yang

    • Peking University

  Authors

  • Ning Yang

    • Peking University

  • Yuhai Tu

    • IBM T. J. Watson Research Center

  • Chao Tang

    • Peking Univ

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• Contrastive learning through non-equilibrium memory

  ORAL

  March 7, 2023, 9:12 AM – March 7, 2023, 9:24 AM

  Presenters

  • Arvind Murugan

    • University of Chicago

  Authors

  • Arvind Murugan

    • University of Chicago

  • Adam Strupp

    • University of Chicago

  • Benjamin Scellier

    • Rain Neuromorphics
    • ETH Zurich

  • Martin J Falk

    • University of Chicago

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• Data-driven irreversibility measurement for biological patterns

  ORAL

  March 7, 2023, 9:24 AM – March 7, 2023, 9:36 AM

  Presenters

  • Junang Li

    • Princeton University
    • Massachusetts Institute of Technology MIT

  Authors

  • Junang Li

    • Princeton University
    • Massachusetts Institute of Technology MIT

  • Chih-Wei Joshua Liu

    • Massachusetts Institute of Technology

  • Michal Szurek

    • Massachusetts Institute of Technology

  • Nikta Fakhri

    • Massachusetts Institute of Technology

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• Training elastic neural networks with the Hamiltonian Monte Carlo sampling algorithm

  ORAL

  March 7, 2023, 9:36 AM – March 7, 2023, 9:48 AM

  Publication: This work is a follow-up of: Dubcek, T., Moreno-Garcia, D., Haag, T., Thomsen, H. R., Becker, T. S., Bärlocher, C., ... & Serra-Garcia, M. (2021). Binary classification of spoken words with passive elastic metastructures. arXiv preprint arXiv:2111.08503.

  Presenters

  • Théophile Louvet

    • AMOLF

  Authors

  • Théophile Louvet

    • AMOLF

  • Vincent Maillou

    • AMOLF

  • Finn T Bohte

    • AMOLF

  • Lars Gebraad

    • ETH

  • Marc Serra-Garcia

    • AMOLF
    • AMOLF Amsterdam

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• Scalable and interpretable machine learning for inference in stochastic transcriptional systems

  ORAL

  March 7, 2023, 9:48 AM – March 7, 2023, 10:00 AM

  Publication: M. T. Carilli, G. Gorin, T. Chari, L. Pachter. (2022). Bioarxiv.

  Presenters

  • Maria Carilli

    • Caltech

  Authors

  • Maria Carilli

    • Caltech

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• Finding the Function-Determining Subset of Amino Acids in Protein Sequence Data

  ORAL

  March 7, 2023, 10:00 AM – March 7, 2023, 10:12 AM

  Presenters

  • Peter Fields

    • University of Chicago

  Authors

  • Peter Fields

    • University of Chicago

  • Vudtiwat Ngampruetikorn

    • The Graduate Center, CUNY
    • The Graduate Center, City University of New York

  • Rama Ranganathan

    • University of Chicago

  • David J Schwab

    • The Graduate Center, CUNY

  • Stephanie E Palmer

    • University of Chicago

  View abstract →