Statistical Physics Meets Machine Learning II

Presentations

• Statistical Physics and Geometry of Overparameterization

  ORAL · Invited

  March 7, 2023, 11:00 AM – March 7, 2023, 11:36 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, 11:36 AM – March 7, 2023, 11:48 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, 11:48 AM – March 7, 2023, 12:00 PM

  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, 12:00 PM – March 7, 2023, 12:12 PM

  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, 12:12 PM – March 7, 2023, 12:24 PM

  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, 12:24 PM – March 7, 2023, 12:36 PM

  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 G Szurek

    California Institute of Technology, Lawrence Berkeley National Laboratory, SLAC National Accelerator Laboratory, University of Connecticut, Max Planck Institute for Chemical Physics of Solid, 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, 12:36 PM – March 7, 2023, 12:48 PM

  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, 12:48 PM – March 7, 2023, 1:00 PM

  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, 1:00 PM – March 7, 2023, 1:12 PM

  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 →