Statistical Physics Meets Machine Learning

Presentations

• A kinetic theory for the transition from memorization to in-context generalization

  ORAL · Invited

  March 18, 2025, 2:30 PM – March 18, 2025, 3:06 PM

  Presenters

  • Gautam Reddy

    Princeton University

  Authors

  • Gautam Reddy

    Princeton University

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• Computing with Neural Manifolds: Towards a Multi-Scale Understanding of Biological and Artificial Neural Networks

  ORAL · Invited

  March 18, 2025, 3:06 PM – March 18, 2025, 3:42 PM

  Presenters

  • SueYeon Chung

    Flatiron Institute / NYU

  Authors

  • SueYeon Chung

    Flatiron Institute / NYU

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• Probing the Latent Hierarchical Structure of Data via Diffusion Models

  ORAL · Invited

  March 18, 2025, 3:42 PM – March 18, 2025, 4:18 PM

  Publication: Probing the Latent Hierarchical Structure of Data via Diffusion Models<br>Antonio Sclocchi, Alessandro Favero, Noam Itzhak Levi, Matthieu Wyart<br>arXiv preprint arXiv:2410.13770<br><br>A phase transition in diffusion models reveals the hierarchical nature of data<br>A Sclocchi, A Favero, M Wyart<br>arXiv preprint arXiv:2402.16991 (to appear in PNAS)

  Presenters

  • Matthieu Wyart

    Johns Hopkins University

  Authors

  • Matthieu Wyart

    Johns Hopkins University

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• Statistical physics insights into optimal training strategies

  ORAL · Invited

  March 18, 2025, 4:18 PM – March 18, 2025, 4:54 PM

  Presenters

  • Francesca Mignacco

    The Graduate Center, City University of New York

  Authors

  • Francesca Mignacco

    The Graduate Center, City University of New York

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• The RL Perceptron: Generalisation Dynamics of Policy Learning in High Dimensions

  ORAL · Invited

  March 18, 2025, 4:54 PM – March 18, 2025, 5:30 PM

  Presenters

  • Andrew Saxe

    University College London

  Authors

  • Andrew Saxe

    University College London

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