AI and Statistical/Thermal Physics

Presentations

• Learning about learning by many-body systems

  Invited

  March 15, 2021, 11:30 AM – March 15, 2021, 12:06 PM

  Presenters

  • Nicole Yunger Halpern

    • Harvard Smithsonian Institute
    • Harvard-Smithsonian ITAMP
    • Physics, Massachusetts Institute of Technology
    • Institute for Theoretical Atomic, Molecular, and Optical Physics, Harvard-Smithsonian Center for Astrophysics

  Authors

  • Nicole Yunger Halpern

    • Harvard Smithsonian Institute
    • Harvard-Smithsonian ITAMP
    • Physics, Massachusetts Institute of Technology
    • Institute for Theoretical Atomic, Molecular, and Optical Physics, Harvard-Smithsonian Center for Astrophysics

  View abstract →

• Can artificial intelligence learn and predict molecular dynamics?

  Invited

  March 15, 2021, 12:06 PM – March 15, 2021, 12:42 PM

  Presenters

  • Pratyush Tiwary

    • University of Maryland
    • University of Maryland, College Park

  Authors

  • Pratyush Tiwary

    • University of Maryland
    • University of Maryland, College Park

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• Optimal machine intelligence near the edge of chaos

  ORAL

  March 15, 2021, 12:42 PM – March 15, 2021, 12:54 PM

  Presenters

  • Ling Feng

    • Institute of High Performance Computing, A*STAR
    • Institute of High Performance Computing, A*STAR Singapore

  Authors

  • Ling Feng

    • Institute of High Performance Computing, A*STAR
    • Institute of High Performance Computing, A*STAR Singapore

  • Lin Zhang

    • Physics, National University of Singapore

  • Choy Heng Lai

    • Department of Physics, National University of Singapore
    • Physics, National University of Singapore

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• Using learning by confusion to identify the order of a phase transition

  ORAL

  March 15, 2021, 12:54 PM – March 15, 2021, 1:06 PM

  Presenters

  • Maciej Maska

    • Wroclaw University of Science and Technology

  Authors

  • Monika Richter-Laskowska

    • University of Silesia

  • Maciej Maska

    • Wroclaw University of Science and Technology

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• Asymptotic stability of the neural network and its generalization power

  ORAL

  March 15, 2021, 1:06 PM – March 15, 2021, 1:18 PM

  Presenters

  • Lin Zhang

    • Department of Physics, National University of Singapore

  Authors

  • Lin Zhang

    • Department of Physics, National University of Singapore

  • Ling Feng

    • Institute of High Performance Computing, A*STAR
    • Institute of High Performance Computing, A*STAR Singapore

  • Kan Chen

    • Risk Management Institute, National University of Singapore

  • Choy Heng Lai

    • Department of Physics, National University of Singapore
    • Physics, National University of Singapore

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• Renormalized Mutual Information for Artificial Scientific Discovery

  ORAL

  March 15, 2021, 1:18 PM – March 15, 2021, 1:30 PM

  Presenters

  • Leopoldo Sarra

    • Max Planck Inst for Sci Light

  Authors

  • Leopoldo Sarra

    • Max Planck Inst for Sci Light

  • Andrea Aiello

    • Marquardt Division, Max Planck Institute for the Science of Light
    • Max Planck Inst for Sci Light

  • Florian Marquardt

    • Univ Erlangen Nuremberg
    • Max Planck Inst for Sci Light
    • Max Planck Institute for the Science of Light

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• How neural nets compress invariant manifolds

  ORAL

  March 15, 2021, 1:30 PM – March 15, 2021, 1:42 PM

  Presenters

  • Leonardo Petrini

    • Ecole Polytechnique Federale de Lausanne

  Authors

  • Jonas Paccolat

    • Ecole Polytechnique Federale de Lausanne

  • Leonardo Petrini

    • Ecole Polytechnique Federale de Lausanne

  • Mario Geiger

    • École polytechnique fédérale de Lausanne
    • Ecole Polytechnique Federale de Lausanne

  • Kevin Tyloo

    • Ecole Polytechnique Federale de Lausanne

  • Matthieu Wyart

    • Physics of Complex Systems Laboratory, Institute of Physics, École Polytechnique Fédérale de Lausanne
    • Institute of Physics, Ecole Polytechnique Federale de Lausanne, CH-1015 Lausanne, Switzerland
    • EPFL
    • Ecole Polytechnique Federale de Lausanne

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• Perturbation Theory for the Information Bottleneck

  ORAL

  March 15, 2021, 1:42 PM – March 15, 2021, 1:54 PM

  Presenters

  • Vudtiwat Ngampruetikorn

    • The Graduate Center, City University of New York

  Authors

  • Vudtiwat Ngampruetikorn

    • The Graduate Center, City University of New York

  • David J. Schwab

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

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• Real-space mutual information neural estimation algorithm for single-step extraction of renormalisation group-relevant degrees of freedom

  ORAL

  March 15, 2021, 1:54 PM – March 15, 2021, 2:06 PM

  Presenters

  • Maciej Koch-Janusz

    • Department of Physics, University of Zurich

  Authors

  • Doruk Efe Gokmen

    • Institute for Theoretical Physics, ETH Zurich

  • Zohar Ringel

    • Hebrew University of Jerusalem
    • Racah Institute of Physics, The Hebrew University of Jerusalem

  • Sebastian Huber

    • Department of Physics, ETH Zurich
    • Institute for Theoretical Physics, ETH Zurich
    • ETH Zurich
    • Physics, ETH Zurich

  • Maciej Koch-Janusz

    • Department of Physics, University of Zurich

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• Deep learning in phase transition prediction of disordered materials

  ORAL

  March 15, 2021, 2:06 PM – March 15, 2021, 2:18 PM

  Presenters

  • Serveh Kamrava

    • Univ of Southern California

  Authors

  • Serveh Kamrava

    • Univ of Southern California

  • Muhammad Sahimi

    • Univ of Southern California

  View abstract →