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Machine Learning Meets Statistical Physics II

FOCUS · MAR-L69 · ID: 3096900

Presentations

  • Top-Down approach to dynamical coarse-graining using Differentiable Generalized Langevin Equation

    ORAL

    –

    Publication: Jeong, Jinu, Ishan Nadkarni, and Narayana Aluru. "DiffGLE: Differentiable Coarse-Grained Dynamics using Generalized Langevin Equation." arXiv preprint arXiv:2410.08424 (2024).

    Presenters

    • Ishan Mangesh Nadkarni

      The University of Texas at Austin

    Authors

    • Ishan Mangesh Nadkarni

      The University of Texas at Austin

    • Jinu Jeong

      University of Illinois at Urbana−Champaign, Urbana, The University of Illinois at Urbana-Champaign

    • Narayana R Aluru

      The University of Texas at Austin, University of Texas at Austin

    View abstract →

  • Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks

    ORAL

    –

    Publication: Tianyu He, Darshil Doshi, Aritra Das, Andrey Gromov; "Learning to grok: Emergence of in-context learning and skill compostion in modular arithmetic tasks"; NeurIPS 2024 (Oral)

    Presenters

    • Darshil H Doshi

      University of Maryland College Park

    Authors

    • Darshil H Doshi

      University of Maryland College Park

    • Tianyu He

      University of Maryland College Park

    • Aritra Das

      University of Maryland, College Park, University of Maryland College Park

    • Andrey Gromov

      University of Maryland College Park

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  • Diffusion Models as an Extension of Variational Autoencoders

    ORAL

    –

    Presenters

    • Kentaro Kaba

      Institute of Science Tokyo

    Authors

    • Kentaro Kaba

      Institute of Science Tokyo

    • Reo Shimizu

      Tohoku University

    • Masayuki Ohzeki

      Graduate School of Information Sciences, Tohoku University, Department of Physics, Institute of Science Tokyo, Sigma-i Co., Ltd., Institute of Science Tokyo, Tohoku University, Sigma-i Co., Ltd.,, Graduate School of Information Sciences, Tohoku University; Department of Physics, Institute of Science Tokyo; Sigma-i Co., Ltd.

    • Yuki Sughiyama

      Tohoku University

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  • Origins and mitigation of double descent in sparse sensing

    ORAL

    –

    Publication: Andrei A. Klishin, Samuel E. Otto, J. Nathan Kutz, Krithika Manohar, in preparation (2024)

    Presenters

    • Andrei A. Klishin

      University of Hawaiʻi at Mānoa

    Authors

    • Andrei A. Klishin

      University of Hawaiʻi at Mānoa

    • Samuel E Otto

      Cornell University

    • J. Nathan Kutz

      University of Washington, AI Institute for Dynamic Systems

    • Krithika Manohar

      University of Washington

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  • LLMs Learn Physical Rules of Dynamical Systems: A Geometric Investigation of Emergent Algorithms

    ORAL

    –

    Publication: T. J.B. Liu, N. Boullé, R. Sarfati, & C. J. Earls, LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law, EMNLP (2024)<br><br>Liu, T.J., Boull'e, N., Sarfati, R., & Earls, C.J. Density estimation with LLMs: a geometric investigation of in-context learning trajectories, (2024)

    Presenters

    • Toni Jianbang Liu

      Cornell University

    Authors

    • Toni Jianbang Liu

      Cornell University

    • Raphael Sarfati

      Cornell University

    • Christopher Earls

      Cornell University, Cornell university

    • Nicolas Boulle

      Imperial College London

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  • Long-range order in classification tasks

    ORAL

    –

    Publication: Zhang, YH., Sipling, C., Qiu, E. et al. Collective dynamics and long-range order in thermal neuristor networks. Nat Commun 15, 6986 (2024). https://doi.org/10.1038/s41467-024-51254-4<br>Computing with long-range order: when, why, and how. In preparation.

    Presenters

    • Yuan-Hang Zhang

      University of California, San Diego

    Authors

    • Yuan-Hang Zhang

      University of California, San Diego

    • Chesson Sipling

      University of California, San Diego

    • Massimiliano Di Ventra

      University of California, San Diego

    View abstract →