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Yann LeCun

Silver Professor; Professor of Computer Science

    1985 …2019

    Research output per year

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    Research Output

    1.1 Deep Learning Hardware: Past, Present, and Future

    Lecun, Y., Mar 6 2019, 2019 IEEE International Solid-State Circuits Conference, ISSCC 2019. Institute of Electrical and Electronics Engineers Inc., p. 12-19 8 p. 8662396. (Digest of Technical Papers - IEEE International Solid-State Circuits Conference; vol. 2019-February).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • A hierarchical loss and its problems when classifying non-hierarchically

    Wu, C., Tygert, M. & LeCun, Y., Jan 1 2019, In : PloS one. 14, 12, e0226222.

    Research output: Contribution to journalArticle

    Open Access
  • Comparing dynamics: deep neural networks versus glassy systems

    Baity-Jesi, M., Sagun, L., Geiger, M., Spigler, S., Ben Arous, G., Cammarota, C., Lecun, Y., Wyart, M. & Biroli, G., Dec 20 2019, In : Journal of Statistical Mechanics: Theory and Experiment. 2019, 12, 124013.

    Research output: Contribution to journalArticle

  • DesIGN: Design inspiration from generative networks

    Sbai, O., Elhoseiny, M., Bordes, A., LeCun, Y. & Couprie, C., Jan 1 2019, Computer Vision – ECCV 2018 Workshops, Proceedings. Leal-Taixé, L. & Roth, S. (eds.). Springer Verlag, p. 37-44 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11131 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Energy-based generative adversarial networks

    Zhao, J., Mathieu, M. & LeCun, Y., Jan 1 2019.

    Research output: Contribution to conferencePaper