Sotabase

Career

· Full Professor of Computer Science, Data Science and Mathematics, New York University2021–
· Member, School of Mathematics, Institute for Advanced Study2019–2020
· Visiting Researcher, Facebook AI Research (FAIR)2018–2018
· Assistant Professor of Computer Science, Data Science and Mathematics, New York University2016–2020
· Assistant Professor of Statistics, UC Berkeley2015–2016
· Post Doctoral Fellow, Facebook AI Research (FAIR)2014–2014
· Ph.D. in Applied Mathematics, Ecole Polytechnique2013–
· Postdoctoral Researcher, New York University (NYU) CILVR Lab2012–2014
· Senior Research Consultant, CSR2010–2012
· Senior Research Engineer, Zoran2008–2010
· M.S. in Applied Mathematics (Mathématiques, Vision, Apprentissage), Ecole Normale Superieure2005–
· Software Engineer, Let it Wave2005–2008
· M.S. in Telecommunications Engineering, Universitat Politècnica de Catalunya2004–
· B.S. in Mathematics, Universitat Politècnica de Catalunya2002–

Publications (246)

Intriguing properties of neural networks
International Conference on Learning Representations · 2013
16,122
cited
Spectral Networks and Locally Connected Networks on Graphs
International Conference on Learning Representations · 2013
5,259
cited
Geometric Deep Learning: Going beyond Euclidean data
IEEE Signal Processing Magazine · 2016
3,662
cited
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Neural Information Processing Systems · 2014
1,792
cited
Deep Convolutional Networks on Graph-Structured Data
arXiv.org · 2015
1,653
cited
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
arXiv.org · 2021
1,431
cited
Invariant Scattering Convolution Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2012
1,376
cited
Few-Shot Learning with Graph Neural Networks
International Conference on Learning Representations · 2017
1,331
cited
Training Convolutional Networks with Noisy Labels
International Conference on Learning Representations · 2014
660
cited
Video (language) modeling: a baseline for generative models of natural videos
arXiv.org · 2014
480
cited
Can graph neural networks count substructures?
Neural Information Processing Systems · 2020
359
cited
Supervised Community Detection with Line Graph Neural Networks
International Conference on Learning Representations · 2017
356
cited
Super-Resolution with Deep Convolutional Sufficient Statistics
International Conference on Learning Representations · 2015
337
cited
On the equivalence between graph isomorphism testing and function approximation with GNNs
Neural Information Processing Systems · 2019
305
cited
Stability Properties of Graph Neural Networks
IEEE Transactions on Signal Processing · 2019
258
cited
Topology and Geometry of Half-Rectified Network Optimization
International Conference on Learning Representations · 2016
240
cited
Assessment and monitoring of soil quality using near‐infrared reflectance spectroscopy (NIRS)
2009
222
cited
Deep Geometric Prior for Surface Reconstruction
Computer Vision and Pattern Recognition · 2018
210
cited
Offline RL Without Off-Policy Evaluation
Neural Information Processing Systems · 2021
184
cited
Kymatio: Scattering Transforms in Python
Journal of machine learning research · 2018
181
cited
Sotabase