Statistical Physics Meets Machine Learning

Presentations

• A nonlinear and statistical physics approach to machine learning electronic hardware

  ORAL

  March 5, 2020, 2:30 PM – March 5, 2020, 2:42 PM

  Presenters

  • Daniel Lathrop

    • University of Maryland, College Park

  Authors

  • Daniel Lathrop

    • University of Maryland, College Park

  • Liam Shaughnessy

    • University of Maryland, College Park

  • Brian Hunt

    • University of Maryland, College Park

  • Heidi Komkov

    • University of Maryland, College Park

  • Alessandro Restelli

    • University of Maryland, College Park

  View abstract →

• Reservoir Computer Optimization for Parity Checking

  ORAL

  March 5, 2020, 2:42 PM – March 5, 2020, 2:54 PM

  Presenters

  • Wendson Barbosa

    • Department of Physics, The Ohio State University

  Authors

  • Wendson Barbosa

    • Department of Physics, The Ohio State University

  • Guilhem Ribeill

    • Quantum Engineering and Computation, Raytheon BBN Technologies
    • BBN Technology - Massachusetts
    • Raytheon BBN Technologies
    • BBN Technologies

  • Minh-Hai Nguyen

    • Raytheon BBN Technologies

  • Thomas A Ohki

    • BBN Technology - Massachusetts
    • Raytheon BBN Technologies
    • BBN Technologies

  • Graham E Rowlands

    • Raytheon BBN Technologies

  • Daniel J Gauthier

    • Department of Physics, The Ohio State University

  View abstract →

• Using Machine Learning to Infer Composition of Complex Chemical Mixtures

  ORAL

  March 5, 2020, 2:54 PM – March 5, 2020, 3:06 PM

  Presenters

  • Unab Javed

    • Rutgers University, New Brunswick

  Authors

  • Unab Javed

    • Rutgers University, New Brunswick

  • Kannan P Ramaiyan

    • Los Alamos National Laboratory

  • Cortney R Kreller

    • Los Alamos National Laboratory

  • Eric L Brosha

    • Los Alamos National Laboratory

  • Rangachary Mukundan

    • Los Alamos National Laboratory

  • Alexandre Morozov

    • Rutgers University, New Brunswick

  View abstract →

• Deep generative spin-glass models with normalizing flows

  ORAL

  March 5, 2020, 3:06 PM – March 5, 2020, 3:18 PM

  Presenters

  • Masoud Mohseni

    • Google AI
    • Google Inc.
    • Google Inc
    • Google Research
    • Google Quantum AI Laboratory

  Authors

  • Masoud Mohseni

    • Google AI
    • Google Inc.
    • Google Inc
    • Google Research
    • Google Quantum AI Laboratory

  • Gavin Hartnett

    • Engineering and Applied Sciences, RAND Corporation
    • Rand Cooperation

  View abstract →

• A Continuous Formulation of Discrete Spin-Glass Systems

  ORAL

  March 5, 2020, 3:18 PM – March 5, 2020, 3:30 PM

  Presenters

  • Gavin Hartnett

    • Engineering and Applied Sciences, RAND Corporation
    • Rand Cooperation

  Authors

  • Gavin Hartnett

    • Engineering and Applied Sciences, RAND Corporation
    • Rand Cooperation

  • Masoud Mohseni

    • Google AI
    • Google Inc.
    • Google Inc
    • Google Research
    • Google Quantum AI Laboratory

  View abstract →

• Machine-learning the DFT of a classical statistical-mechanical system

  ORAL

  March 5, 2020, 3:30 PM – March 5, 2020, 3:42 PM

  Presenters

  • Petr Yatsyshin

    • Imperial College London

  Authors

  • Petr Yatsyshin

    • Imperial College London

  • Andrew Duncan

    • Imperial College London

  • Serafim Kalliadasis

    • Imperial College London

  View abstract →

• Dynamical loss functions for Machine Learning

  ORAL

  March 5, 2020, 3:42 PM – March 5, 2020, 3:54 PM

  Presenters

  • Miguel Ruiz Garcia

    • Univ of Pennsylvania
    • University of Pennsylvania

  Authors

  • Miguel Ruiz Garcia

    • Univ of Pennsylvania
    • University of Pennsylvania

  • Ge Zhang

    • Univ of Pennsylvania
    • University of Pennsylvania

  • Samuel Schoenholz

    • Google Brain
    • Google

  • Andrea Jo-Wei Liu

    • Univ of Pennsylvania
    • University of Pennsylvania
    • Department of Physics and Astronomy, University of Pennsylvania
    • Physics, University of Pennsylvania
    • Physics and Astronomy, University of Pennsylvania

  View abstract →

• A mechanical model for supervised learning

  ORAL

  March 5, 2020, 3:54 PM – March 5, 2020, 4:06 PM

  Presenters

  • Menachem Stern

    • University of Chicago

  Authors

  • Menachem Stern

    • University of Chicago

  • Chukwunonso Arinze

    • University of Chicago

  • Leron Perez

    • University of Chicago

  • Stephanie Palmer

    • University of Chicago

  • Arvind Murugan

    • Physics, University of Chicago
    • University of Chicago
    • Department of Physics, University of Chicago

  View abstract →

• Quantifying statistical mechanical learning in a many-body system with machine learning

  ORAL

  March 5, 2020, 4:06 PM – March 5, 2020, 4:18 PM

  Presenters

  • Weishun Zhong

    • Massachusetts Institute of Technology

  Authors

  • Weishun Zhong

    • Massachusetts Institute of Technology

  • Jacob M Gold

    • Massachusetts Institute of Technology

  • Sarah Marzen

    • Massachusetts Institute of Technology and the Claremont Colleges

  • Jeremy L England

    • Massachusetts Institute of Technology and GlaxoSmithKline

  • Nicole Yunger Halpern

    • Harvard University and Massachusetts Institute of Technology
    • Harvard University

  View abstract →

• Information-bottleneck renormalization group for self-supervised representation learning

  ORAL

  March 5, 2020, 4:18 PM – March 5, 2020, 4:30 PM

  Presenters

  • Vudtiwat Ngampruetikorn

    • Initiative for the Theoretical Sciences, The Graduate Center, City University of New York

  Authors

  • Vudtiwat Ngampruetikorn

    • Initiative for the Theoretical Sciences, The Graduate Center, City University of New York

  • William S Bialek

    • princeton university
    • Department of Physics, Princeton University
    • Princeton University
    • Physics, Princeton University

  • David J. Schwab

    • Institute for Theoretical Science, CUNY Graduate Center
    • Initiative for the Theoretical Sciences, The Graduate Center, City University of New York
    • City University of New York

  View abstract →

• On matching symmetries and information between training time series and machine dynamics.

  ORAL

  March 5, 2020, 4:30 PM – March 5, 2020, 4:42 PM

  Presenters

  • Jan Engelbrecht

    • Boston College

  Authors

  • Jan Engelbrecht

    • Boston College

  • Owen Tong Yang

    • Boston College

  • Renato Mirollo

    • Boston College

  View abstract →

• Deep Learning on the 2-Dimensional Ising Model to Extract the Crossover Region

  ORAL

  March 5, 2020, 4:42 PM – March 5, 2020, 4:54 PM

  Presenters

  • Nicholas Walker

    • Louisiana State University, Baton Rouge

  Authors

  • Nicholas Walker

    • Louisiana State University, Baton Rouge

  • Ka-Ming Tam

    • Physics and Astronomy, Louisiana State University
    • Louisiana State University, Baton Rouge
    • Department of Physics, Louisiana State University

  • Mark Jarrell

    • Louisiana State University, Baton Rouge
    • Louisiana State University, Baton Rouge, Louisiana 70803
    • Department of Physics, Louisiana State University

  View abstract →

• Training and classification using Restricted Boltzmann Machine (RBM) on the D-Wave 2000Q

  ORAL

  March 5, 2020, 4:54 PM – March 5, 2020, 5:06 PM

  Presenters

  • Vivek Dixit

    • Purdue Univ

  Authors

  • Vivek Dixit

    • Purdue Univ

  • Sabre Kais

    • Department of Chemistry, Department of Physics and Astronomy, and Birck Nanotechnology Center, Purdue University
    • Purdue Univ
    • Department of Chemistry and Physics, Purdue Univ
    • Department of Physics, Department of Chemistry, and the Birck Nanotechnology Center, Purdue Univ

  • Muhammad A Alam

    • Purdue Univ

  View abstract →

• Statistical Physics Analysis of Training of Restricted Boltzmann Machines

  ORAL

  March 5, 2020, 5:06 PM – March 5, 2020, 5:18 PM

  Presenters

  • Sangchul Oh

    • Qatar Environment and Energy Research Institute, Hamad Bin Khalifa University

  Authors

  • Sangchul Oh

    • Qatar Environment and Energy Research Institute, Hamad Bin Khalifa University

  • Abdelkader Baggag

    • Qatar Computing Research Institute, Hamad Bin Khalifa University

  View abstract →

• Mode-Assisted Unsupervised Learning of Restricted Boltzmann Machines

  ORAL

  March 5, 2020, 5:18 PM – March 5, 2020, 5:30 PM

  Presenters

  • Haik Manukian

    • University of California, San Diego

  Authors

  • Haik Manukian

    • University of California, San Diego

  • Yan Ru Pei

    • University of California, San Diego

  • Sean Bearden

    • University of California, San Diego

  • Massimiliano Di Ventra

    • University of California, San Diego

  View abstract →