Sotabase

Career

· Executive Chairman, Advanced Machine Intelligence - AMI Labs2026–
· VP & Chief AI Scientist, Meta Platforms2018–2026
· Director of AI Research, Meta Platforms2013–2018
· Co-founder, Advisor, Element Inc2012–
· Silver Professor of Data Science, Computer Science, Neural Science, and Electrical Engineering, New York University2008–
· Owner, YLC Consulting LLC2008–2013
· Cofounder and Chief Scientist, MuseAmi2007–2016
· Professor, New York University2003–2008
· Fellow, NEC Research Institute2002–2003
· Department Head, Image Processing Research, AT&T Labs Research1996–2002
· Research Scientist, THALES - Laboratoire Central de Recherche1991–1991
· Research Staff Member, AT&T Bell Laboratories1988–1996
· PhD in Computer Science, Université Pierre et Marie Curie1987–
· Research Associate (Postdoc), University of Toronto1987–1988
· Electrical Engineer Diploma, ESIEE Paris1983–

Publications (861)

Gradient-based learning applied to document recognition
Proceedings of the IEEE · 1998
58,645
cited
Deep Learning
2015
39,238
cited
Backpropagation Applied to Handwritten Zip Code Recognition
Neural Computation · 1989
11,828
cited
The mnist database of handwritten digits
2005
7,196
cited
Character-level Convolutional Networks for Text Classification
Neural Information Processing Systems · 2015
6,767
cited
Convolutional networks for images, speech, and time series
1998
6,052
cited
Dimensionality Reduction by Learning an Invariant Mapping
Computer Vision and Pattern Recognition · 2006
5,623
cited
Spectral Networks and Locally Connected Networks on Graphs
International Conference on Learning Representations · 2013
5,259
cited
Optimal Brain Damage
Neural Information Processing Systems · 1989
5,147
cited
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
International Conference on Learning Representations · 2013
5,102
cited
Pattern Recognition and Neural Networks
1995
4,592
cited
Learning a similarity metric discriminatively, with application to face verification
Computer Vision and Pattern Recognition · 2005
4,471
cited
Handwritten Digit Recognition with a Back-Propagation Network
Neural Information Processing Systems · 1989
4,282
cited
Signature Verification Using A "Siamese" Time Delay Neural Network
International journal of pattern recognition and artificial intelligence · 1993
4,059
cited
Geometric Deep Learning: Going beyond Euclidean data
IEEE Signal Processing Magazine · 2016
3,662
cited
A Closer Look at Spatiotemporal Convolutions for Action Recognition
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2017
3,424
cited
Efficient BackProp
Neural Networks · 2012
3,411
cited
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
International Conference on Machine Learning · 2021
2,791
cited
Learning Hierarchical Features for Scene Labeling
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2013
2,767
cited
Regularization of Neural Networks using DropConnect
International Conference on Machine Learning · 2013
2,619
cited
Sotabase