Physics of Learning and Adaptation III

Presentations

• Physics of Learning: From Living Systems to Artificial Neural Networks

  Invited-In-person · Invited

  March 19, 2026, 12:00 PM – March 19, 2026, 12:36 PM

  Presenters

  • Yuhai Tu

    • Flatiron Institute

  Authors

  • Yuhai Tu

    • Flatiron Institute

  View abstract →

• Physical Learning in Nonreciprocal Active Spinner Materials

  Oral-In-person

  March 19, 2026, 12:36 PM – March 19, 2026, 12:48 PM

  Presenters

  • Shiqi LIU

    • University of California, San Diego

  Authors

  • Shiqi LIU

    • University of California, San Diego

  • Tzer Han Tan

    • University of California, San Diego

  • Hongbo Zhao

    • University of California San Diego

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• Impact of tunable interactions on emergent behavior in a random field Ising model with feedback

  Oral-In-person

  March 19, 2026, 12:48 PM – March 19, 2026, 1:00 PM

  Presenters

  • Tanya Chhabra

    • Syracuse University

  Authors

  • Tanya Chhabra

    • Syracuse University

  • M Lisa Manning

    • Syracuse University

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• Local Learning Rules for Out-of-Equilibrium Physical Generative Models

  Oral-In-person

  March 19, 2026, 1:00 PM – March 19, 2026, 1:12 PM

  Publication: https://arxiv.org/pdf/2506.19136

  Presenters

  • Cyrill Bösch

    • Princeton University

  Authors

  • Cyrill Bösch

    • Princeton University

  • Geoffrey Roeder

    • Princeton University

  • Marc Serra-Garcia

  • Ryan Adams

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• Oscillatory training: cooperatively training multiple tasks in physical systems without batching

  Oral-In-person

  March 19, 2026, 1:12 PM – March 19, 2026, 1:24 PM

  Presenters

  • Adam Frim

    • University of Pennsylvania

  Authors

  • Adam Frim

    • University of Pennsylvania

  • Andrea Liu

    • University of Pennsylvania

  • Sidney Nagel

    • University of Chicago

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• Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks

  Oral-In-person

  March 19, 2026, 1:24 PM – March 19, 2026, 1:36 PM

  Presenters

  • Marcel Kühn

    • Leipzig University

  Authors

  • Marcel Kühn

    • Leipzig University

  • Bernd Rosenow

    • University Leipzig

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• Analyzing Neural Scaling Laws in Two-Layer Networks with Power-Law Data Spectra

  Oral-In-person

  March 19, 2026, 1:36 PM – March 19, 2026, 1:48 PM

  Presenters

  • Bernd Rosenow

    • University Leipzig

  Authors

  • Bernd Rosenow

    • University Leipzig

  • Roman Worschech

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• Learning context-dependent categorization through a cooperative game

  Oral-In-person

  March 19, 2026, 1:48 PM – March 19, 2026, 2:00 PM

  Presenters

  • Henry Hill

    • University of Florida

  Authors

  • Henry Hill

    • University of Florida

  • BingKan Xue

    • University of Florida

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• Decomposing non-Markovian History Dependence

  Oral-In-person

  March 19, 2026, 2:00 PM – March 19, 2026, 2:12 PM

  Presenters

  • Matthew Leighton

    • Yale University

  Authors

  • Matthew Leighton

    • Yale University

  • Christopher Lynn

    • Yale University

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• Phase transition in statistical inference of spatial information from single-cell sequencing data

  Oral-In-person

  March 19, 2026, 2:12 PM – March 19, 2026, 2:24 PM

  Presenters

  • Alican Saray

    • Ohio State University

  Authors

  • Alican Saray

    • Ohio State University

  • Brian Skinner

    • Ohio State University

  • Calvin Pozderac

    • Ohio State University

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• Networks of Coupled Phase Oscillators as a Neuromorphic Platform Trained with Equilibrium Propagation

  Oral-In-person

  March 19, 2026, 2:24 PM – March 19, 2026, 2:36 PM

  Presenters

  • Qingshan Wang

    • Max Planck Inst for Sci Light

  Authors

  • Qingshan Wang

    • Max Planck Inst for Sci Light

  • Florian Marquardt

    • Friedrich-Alexander University Erlangen-Nuremberg

  • Clara Wanjura

    • Max Planck Institute for Science of Light in Erlangen

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• Solution of Linear Systems in High Dimensions with Application to Chemical Reaction Networks

  Oral-In-person

  March 19, 2026, 2:36 PM – March 19, 2026, 2:48 PM

  Presenters

  • John Zima

    • Northwestern University

  Authors

  • John Zima

    • Northwestern University

  • Miles Stoudenmire

    • Flatiron Institute, Center for Computational Quantum Physics

  • Todd Gingrich

    • Northwestern University

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• Superposition Yields Robust Neural Scaling

  Oral-In-person

  March 19, 2026, 2:48 PM – March 19, 2026, 3:00 PM

  Publication: Yizhou Liu, Ziming Liu, and Jeff Gore. Superposition Yields Robust Neural Scaling, NeurIPS 2025.

  Presenters

  • Yizhou Liu

    • MIT

  Authors

  • Yizhou Liu

    • MIT

  • Ziming Liu

  • Jeffrey Gore

    • Massachusetts Institute of Technology

  View abstract →