Yann LeCun

Affiliations: 
Courant Institute/Center for Neural Science, NYU, New York, NY, United States 
Area:
machine learning, computational neuroscience, computer vision
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"Yann LeCun"
Mean distance: 14.79 (cluster 17)
 
SNBCP
Cross-listing: Computational Biology Tree

Children

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Kevin Jarrett grad student NYU
Junbo Jake Zhao grad student NYU
Feng Ning grad student 2006 NYU
Sumit P. Chopra grad student 2008 NYU
Raia T. Hadsell grad student 2008 NYU
Marc'Aurelio Ranzato grad student 2004-2009 NYU
Ayse N. Erkan grad student 2010 NYU
Koray Kavukcuoglu grad student 2010 NYU
Piotr Mirowski grad student 2011 NYU
Y-Lan Boureau grad student 2012 NYU
Matthew K. Grimes grad student 2012 NYU
Fu J. Huang grad student 2014 NYU
Pierre Sermanet grad student 2014 NYU
Roy E. Lowrance grad student 2015 NYU
Stéphane Deny post-doc 2019- Facebook AI Research (Computational Biology Tree)
Yubei Chen post-doc 2020- NYU
Karol Gregor post-doc 2008-2011 Courant Institute/Center for Neural Science, NYU
Arthur Szlam post-doc 2009-2011 Courant Institute/Center for Neural Science, NYU
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Publications

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Zador A, Escola S, Richards B, et al. (2023) Catalyzing next-generation Artificial Intelligence through NeuroAI. Nature Communications. 14: 1597
LeCun Y. (2018) The Power and Limits of Deep Learning Research-Technology Management. 61: 22-27
Bronstein MM, Bruna J, LeCun Y, et al. (2017) Geometric Deep Learning: Going beyond Euclidean data Ieee Signal Processing Magazine. 34: 18-42
Tygert M, Bruna J, Chintala S, et al. (2016) A Mathematical Motivation for Complex-Valued Convolutional Networks. Neural Computation. 1-11
LeCun Y, Bengio Y, Hinton G. (2015) Deep learning. Nature. 521: 436-44
Ranzato M’, Hinton G, LeCun Y. (2015) Guest Editorial: Deep Learning International Journal of Computer Vision. 113: 1-2
Tompson J, Stein M, Lecun Y, et al. (2014) Real-time continuous pose recovery of human hands using convolutional networks Acm Transactions On Graphics. 33
Bruna J, Szlam A, Lecun Y. (2014) Signal recovery from pooling representations 31st International Conference On Machine Learning, Icml 2014. 2: 1585-1598
Farabet C, Couprie C, Najman L, et al. (2013) Learning hierarchical features for scene labeling. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 1915-29
Muller UA, Jackel LD, Lecun Y, et al. (2013) Real-time adaptive o-road vehicle navigation and terrain classification Proceedings of Spie - the International Society For Optical Engineering. 8741
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