Physics of Learning II: Artificial systems

Presentations

• Memorizing without overfitting: Over-parameterization in machine learning, physics and biology

  ORAL · Invited

  March 15, 2022, 8:00 AM – March 15, 2022, 8:36 AM

  Publication: arXiv:2010.13933, arXiv:2103.14108

  Presenters

  • Jason W Rocks

    • Boston University

  Authors

  • Jason W Rocks

    • Boston University

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• When are Neural Networks Kernel Learners?

  ORAL

  March 15, 2022, 8:36 AM – March 15, 2022, 8:48 AM

  Publication: "Neural Networks as Kernel Learners: The Silent Alignment Effect" - in submission. To be on arXiv by late October.

  Presenters

  • Alexander B Atanasov

    • Harvard University

  Authors

  • Alexander B Atanasov

    • Harvard University

  • Blake Bordelon

    • Harvard University

  • Cengiz Pehlevan

    • Harvard University

  View abstract →

• Teaching a material to be adaptive

  ORAL

  March 15, 2022, 8:48 AM – March 15, 2022, 9:00 AM

  Presenters

  • Martin J Falk

    • University of Chicago

  Authors

  • Martin J Falk

    • University of Chicago

  • Jiayi Wu

    • University of Chicago

  • Vedant Sachdeva

    • University of Chicago

  • Sidney R Nagel

    • University of Chicago

  • Arvind Murugan

    • University of Chicago

  View abstract →

• Information theory of high dimensional linear regression

  ORAL

  March 15, 2022, 9:00 AM – March 15, 2022, 9:12 AM

  Presenters

  • Vudtiwat Ngampruetikorn

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

  Authors

  • Vudtiwat Ngampruetikorn

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

  • David J Schwab

    • The Graduate Center, CUNY

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• Learning out of equilibrium in physical systems

  ORAL

  March 15, 2022, 9:12 AM – March 15, 2022, 9:24 AM

  Presenters

  • Menachem Stern

    • University of Pennsylvania

  Authors

  • Menachem Stern

    • University of Pennsylvania

  • Sam J Dillavou

    • University of Pennsylvania

  • Marc Z Miskin

    • University of Pennsylvania

  • Douglas J Durian

    • University of Pennsylvania

  • Andrea J Liu

    • University of Pennsylvania

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• Learning Continuous Chaotic Attractors with a Reservoir Computer

  ORAL

  March 15, 2022, 9:24 AM – March 15, 2022, 9:36 AM

  Publication: Lindsay M. Smith, Jason Z. Kim, Zhixin Lu, Danielle S. Bassett. Learning Continuous Chaotic Attractors with a Reservoir Computer. Under Review at Chaos. arXiv: https://arxiv.org/abs/2110.08631

  Presenters

  • Lindsay M Smith

    • University of Pennsylvania

  Authors

  • Lindsay M Smith

    • University of Pennsylvania

  • Jason Z Kim

    • University of Pennsylvania

  • Zhixin Lu

    • University of Pennsylvania

  • Danielle S Bassett

    • University of Pennsylvania

  View abstract →

• Learning Nonequilibrium Control Forces to Characterize Dynamical Phase Transitions

  ORAL

  March 15, 2022, 9:36 AM – March 15, 2022, 9:48 AM

  Publication: arXiv preprint arXiv:2107.03348

  Presenters

  • Jiawei Yan

    • Stanford University

  Authors

  • Jiawei Yan

    • Stanford University

  • Hugo Touchette

    • Stellenbosch University

  • Grant M Rotskoff

    • Stanford Univ

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• A Bayesian Approach to Hyperbolic Embeddings

  ORAL

  March 15, 2022, 9:48 AM – March 15, 2022, 10:00 AM

  Presenters

  • Anoop Praturu

    • University of California, San Diego

  Authors

  • Anoop Praturu

    • University of California, San Diego

  • Tatyana O Sharpee

    • Salk Inst

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• A symbolic systen that synthesises an internal model of an algebraic theory of the data and prior knowlwedge

  ORAL

  March 15, 2022, 10:00 AM – March 15, 2022, 10:12 AM

  Publication: None

  Presenters

  • Gonzalo de Polavieja

    • Centro Champalimaud

  Authors

  • Gonzalo de Polavieja

    • Centro Champalimaud

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• Optimal learning despite a hundred distracting directions

  ORAL

  March 15, 2022, 10:12 AM – March 15, 2022, 10:24 AM

  Presenters

  • Michael C Abbott

    • Yale University

  Authors

  • Michael C Abbott

    • Yale University

  • Benjamin B Machta

    • Yale University
    • Yale

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• Memory, Prediction and Computation in the Kuramoto model

  ORAL

  March 15, 2022, 10:24 AM – March 15, 2022, 10:36 AM

  Presenters

  • Chanin Kumpeerakij

    • Chula Intelligent and Complex Systems Lab, Department of Physics, Faculty of Science, Chulalongkorn University, Thailand

  Authors

  • Chanin Kumpeerakij

    • Chula Intelligent and Complex Systems Lab, Department of Physics, Faculty of Science, Chulalongkorn University, Thailand

  • David J Schwab

    • The Graduate Center, CUNY

  • Thiparat Chotibut

    • Chula Intelligent and Complex Systems Lab, Department of Physics, Chulalongkorn University, Thailand
    • Chula Intelligent and Complex Systems Lab, Department of Physics, Faculty of Science, Chulalongkorn University, Bangkok, Thailand
    • Chula Intelligent and Complex Systems Lab, Department of Physics, Faculty of Science, Chulalongkorn University, Thailand

  • Vudtiwat Ngampruetikorn

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

  View abstract →