Yann LeCun

Silver Professor; Professor of Computer Science

1985 …2019
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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