Statistical Physics Meets Machine Learning

INVITED · B12 · ID: 781082

Presentations

  • ORAL · Invited

    –

    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 →

  • ORAL · Invited

    –

    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 →