Statistical Physics Meets Machine Learning

INVITED · B12 · ID: 781082

Presentations

  • Modern Hopfield Networks in AI and Neurobiology

    ORAL · Invited

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    Publication: 1. Krotov, D. and Hopfield, J.J., 2016. Dense associative memory for pattern recognition. Advances in neural information processing systems, 29.
    2. Krotov, D. and Hopfield, J.J., 2020, September. Large Associative Memory Problem in Neurobiology and Machine Learning. In International Conference on Learning Representations.
    3. Krotov, D., 2021. Hierarchical associative memory. arXiv preprint arXiv:2107.06446.

    Presenters

    • Dmitry Krotov

      IBM Research

    Authors

    • Dmitry Krotov

      IBM Research

    View abstract →

  • A Picture of the Prediction Space of Deep Networks

    ORAL · Invited

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    Publication: 1. Yang, R., Mao, J. & Chaudhari, P. Does the Data Induce Capacity Control in Deep Learning? Proc. of the International Conference of Machine Learning (2022). arXiv: https://arxiv.org/abs/2110.14163
    2. Mao, J., Griniasty, I., Yang, R., Teoh, H. K., Ramesh, R., Transtrum, M., Sethna, J. & Chaudhari, P. A Picture of
    the Prediction Space of Deep Neural Networks (in preparation).
    3. Ramesh, R., Mao, J., Griniasty, I., Yang, R., Teoh, H. K., Transtrum, M., Sethna, J. & Chaudhari, P. A Picture of
    the Space of Learning Tasks (in preparation).

    Presenters

    • Pratik Chaudhari

      University of Pennsylvania

    Authors

    • Jialin Mao

      University of Pennsylvania

    • Itay Griniasty

      Cornell University

    • Rubing Yang

      University of Pennsylvania

    • Han Kheng Teoh

      Cornell University

    • Rahul Ramesh

      University of Pennsylvania

    • Mark K Transtrum

      Brigham Young University

    • James P Sethna

      Cornell University

    • Pratik Chaudhari

      University of Pennsylvania

    View abstract →