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Yann LeCun

Silver Professor; Professor of Computer Science

    1985 …2019
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    Fingerprint Weighted list of dominant concepts in the researcher's publications (titles and abstracts).

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    Research Output 1985 2019

    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

    Hardware
    Neural networks
    Deep learning

    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

    Loss Function
    Shape Design
    Evaluation
    Network Architecture
    Texture

    Energy-based generative adversarial networks

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

    Research output: Contribution to conferencePaper

    Discriminators
    energy
    Image resolution
    Logistics
    Classifiers

    Entropy-SGD: Biasing gradient descent into wide valleys. International Conference on Learning Representations (ICLR) 2017

    Chaudhari, P., Choromanska, A., Soatto, S., LeCun, Y., Baldassi, C., Borgs, C., Chayes, J., Sagun, L. & Zecchina, R., Jan 1 2019.

    Research output: Contribution to conferencePaper

    entropy
    Entropy
    energy
    neural network
    learning

    Model-predictive policy learning with uncertainty regularization for driving in dense traffic

    Henaff, M., LeCun, Y. & Canziani, A., Jan 1 2019.

    Research output: Contribution to conferencePaper

    predictive model
    uncertainty
    traffic
    costs
    learning