Physics of Machine Learning II

Presentations

• Finding Spin Glass Ground States Through Deep Reinforcement Learning

  ORAL

  March 15, 2022, 3:00 PM – March 15, 2022, 3:12 PM

  Presenters

  • Mutian o Shen

    • Washington University in St. Louis

  Authors

  • Mutian o Shen

    • Washington University in St. Louis

  • Zohar Nussinov

    • Washington University in St. Louis

  • Yang-Yu Liu

    • Harvard Medical School
    • Brigham and Women's Hospital (BWH)

  • Changjun Fan

    • National University of Defense Technology

  • Yizhou Sun

    • University of California, Los Angeles

  • Zhong Liu

    • National University of Defense Technology

  View abstract →

• The random energy landscape of soft-spin networks and its application to combinatorial optimizations

  ORAL

  March 15, 2022, 3:12 PM – March 15, 2022, 3:24 PM

  Publication: Atsushi Yamamura, Hideo Mabuchi, Surya Ganguli "The random energy landscape of soft-spin networks and its application to combinatorial optimizations", To be published

  Presenters

  • Atsushi Yamamura

    • Stanford University

  Authors

  • Atsushi Yamamura

    • Stanford University

  • Hideo Mabuchi

    • Stanford University

  • Surya Ganguli

    • Stanford
    • Stanford University

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• From classification to models: When do SVMs discover physical features?

  ORAL

  March 15, 2022, 3:24 PM – March 15, 2022, 3:36 PM

  Presenters

  • Arabind Swain

    • Emory University

  Authors

  • Arabind Swain

    • Emory University

  • Ilya M Nemenman

    • Emory University
    • Emory

  View abstract →

• Machine learning probing universality class of four models

  ORAL

  March 15, 2022, 3:36 PM – March 15, 2022, 3:48 PM

  Publication: V. Chertenkov, L. Shchur, Universality classes and machine learning, J. Phys.: Conf. Ser. 1740 (2021) 012003
  V. Chertenkov, E. Burovski, L. Shchur, On the accuracy of the critical properties estimation of statistical mechanics models using deep learning approach, in preparation

  Presenters

  • Lev Shchur

    • Landau ITP - Chernogolovka

  Authors

  • Lev Shchur

    • Landau ITP - Chernogolovka

  • Evgeni Burovski

    • HSE University
    • National Research University Higher School of Economics

  • Vladislav Chertenkov

    • HSE University

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• Inverse design of nucleation seeds

  ORAL

  March 15, 2022, 3:48 PM – March 15, 2022, 4:00 PM

  Presenters

  • Ella M King

    • Harvard University

  Authors

  • Ella M King

    • Harvard University

  • Chrisy Xiyu Du

    • Harvard University

  • Michael P Brenner

    • Harvard University

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• Machine learning enabled large-scale quantum kinetic Monte Carlo simulations of the Falicov-Kimball model

  ORAL

  March 15, 2022, 4:00 PM – March 15, 2022, 4:12 PM

  Presenters

  • Sheng Zhang

    • Univ of Virginia
    • University of Virginia

  Authors

  • Sheng Zhang

    • Univ of Virginia
    • University of Virginia

  • Gia-Wei Chern

    • University of Virginia
    • Department of Physics, University of Virginia

  • Puhan Zhang

    • University of Virginia

  View abstract →

• Biased Monte Carlo sampling in RBMs

  ORAL

  March 15, 2022, 4:12 PM – March 15, 2022, 4:24 PM

  Publication: -Nicolás Bereux, Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane, in preparation.
  -Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane, accepted for NIPS (2021). Pre-print: ArXiv:2105.13889

  Presenters

  • Beatriz Seoane

    • Universidad Complutense de Madrid
    • Univ Complutense

  Authors

  • Beatriz Seoane

    • Universidad Complutense de Madrid
    • Univ Complutense

  • Aurélien Decelle

    • Universidad Complutense de Madrid

  • Cyril Furtlehner

    • Paris Saclay University
    • Inria, Université Paris Saclay

  • Nicolas Bereux

    • Paris Saclay University

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• Nonequilibrium Monte Carlo for unfreezing variables near computational phase transitions

  ORAL

  March 15, 2022, 4:24 PM – March 15, 2022, 4:36 PM

  Presenters

  • Masoud Mohseni

    • Google LLC

  Authors

  • Masoud Mohseni

    • Google LLC

  • Daniel K Eppens

    • Google LLC

  • Federico Ricci-Tersenghi

    • Dipartimento di Fisica, Sapienza Università di Roma, P.le Aldo Moro 5, 00185 Rome, Italy

  • Johan Strumpfer

    • Google LLC

  • Alan Ho

    • Google LLC

  • Raffaele Marino

    • Dipartimento di Fisica, Sapienza Università di Roma, P.le Aldo Moro 5, 00185 Rome, Italy

  • Vasil Denchev

    • Google LLC

  • Sergei V Isakov

    • Google LLC

  • Sergio Boixo

    • Google LLC

  • Hartmut Neven

    • Google LLC

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• Gauge freedoms, symmetries, and the interpretability of sequence-function relationships

  ORAL

  March 15, 2022, 4:36 PM – March 15, 2022, 4:48 PM

  Presenters

  • Justin B Kinney

    • Cold Spring Harbor Laboratory

  Authors

  • Justin B Kinney

    • Cold Spring Harbor Laboratory

  • Anna Posfai

    • Cold Spring Harbor Laboratory

  • David M McCandlish

    • Cold Spring Harbor Laboratory

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• Exploring relative advantages of dual vs single dimensionality reduction

  ORAL

  March 15, 2022, 4:48 PM – March 15, 2022, 5:00 PM

  Presenters

  • Eslam Abdelaleem

    • Emory University

  Authors

  • Eslam Abdelaleem

    • Emory University

  • K. Michael Martini

    • Emory University

  • Ilya M Nemenman

    • Emory University
    • Emory

  View abstract →

• An unsupervised neural network learns reproducible and interpretable representations of active matter systems

  ORAL

  March 15, 2022, 5:00 PM – March 15, 2022, 5:12 PM

  Publication: Liu CJ, Li J, Szurek M, Fakhri N. in prep. Measuring irreversibility in biological active matter.

  Presenters

  • Chih-Wei Joshua Liu

    • Massachusetts Institute of Technology

  Authors

  • Chih-Wei Joshua Liu

    • Massachusetts Institute of Technology

  • Nikta Fakhri

    • Massachusetts Institute of Technology
    • Department of Physics, Massachusetts Institute of Technology
    • Massachusetts Institute of Technology MI

  • Junang Li

    • Massachusetts Institute of Technology
    • Department of Physics, Massachusetts Institute of Technology
    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology MI

  • Michal Szurek

    • Massachusetts Institute of Technology MIT

  View abstract →

• Criticality in Deep Neural Networks using Jacobian(s)

  ORAL

  March 15, 2022, 5:12 PM – March 15, 2022, 5:24 PM

  Presenters

  • Darshil H Doshi

    • Brown University

  Authors

  • Darshil H Doshi

    • Brown University

  • Andrey Gromov

    • Brown University

  • Tianyu He

    • Brown University

  View abstract →

• Understanding Layer Normalization in Deep Neural Networks

  ORAL

  March 15, 2022, 5:24 PM – March 15, 2022, 5:36 PM

  Presenters

  • Tianyu He

    • Brown University

  Authors

  • Tianyu He

    • Brown University

  • Darshil H Doshi

    • Brown University

  • Andrey Gromov

    • Brown University

  View abstract →

• Information Bottleneck for Data-driven Renormalization without Locality

  ORAL

  March 15, 2022, 5:36 PM – March 15, 2022, 5:48 PM

  Presenters

  • K. Michael Martini

    • Emory University

  Authors

  • K. Michael Martini

    • Emory University

  • Joseph L Natale

    • Emory University

  • Ilya M Nemenman

    • Emory University
    • Emory

  View abstract →