| Out-of-sample extensions for lle, isomap, mds, eigenmaps, and spectral clustering Y Bengio, J Paiement, P Vincent, O Delalleau, N Roux, M Ouimet Advances in neural information processing systems 16, 2003 | 1433 | 2003 |
| Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv e-prints, arXiv: 1605.02688, 2016 | 1099* | 2016 |
| Shallow vs. deep sum-product networks O Delalleau, Y Bengio Advances in neural information processing systems 24, 2011 | 482 | 2011 |
| On the expressive power of deep architectures Y Bengio, O Delalleau International conference on algorithmic learning theory, 18-36, 2011 | 445 | 2011 |
| Label Propagation and Quadratic Criterion Y Bengio, O Delalleau, N Le Roux Semi-Supervised Learning, 193-216, 2006 | 400 | 2006 |
| Theano: Deep learning on gpus with python J Bergstra, F Bastien, O Breuleux, P Lamblin, R Pascanu, O Delalleau, ... NIPS 2011, BigLearning Workshop, Granada, Spain 3 (0), 2011 | 368 | 2011 |
| Learning eigenfunctions links spectral embedding and kernel PCA Y Bengio, O Delalleau, NL Roux, JF Paiement, P Vincent, M Ouimet Neural computation 16 (10), 2197-2219, 2004 | 350 | 2004 |
| The curse of highly variable functions for local kernel machines Y Bengio, O Delalleau, N Roux Advances in neural information processing systems 18, 2005 | 300 | 2005 |
| Justifying and generalizing contrastive divergence Y Bengio, O Delalleau Neural computation 21 (6), 1601-1621, 2009 | 292 | 2009 |
| Convex neural networks Y Bengio, N Roux, P Vincent, O Delalleau, P Marcotte Advances in neural information processing systems 18, 2005 | 270 | 2005 |
| Efficient non-parametric function induction in semi-supervised learning O Delalleau, Y Bengio, N Le Roux International Workshop on Artificial Intelligence and Statistics, 96-103, 2005 | 248 | 2005 |
| Tempered Markov chain Monte Carlo for training of restricted Boltzmann machines G Desjardins, A Courville, Y Bengio, P Vincent, O Delalleau Proceedings of the thirteenth international conference on artificial …, 2010 | 152 | 2010 |
| Decision trees do not generalize to new variations Y Bengio, O Delalleau, C Simard Computational Intelligence 26 (4), 449-467, 2010 | 126 | 2010 |
| Parallel tempering for training of restricted Boltzmann machines G Desjardins, A Courville, Y Bengio, P Vincent, O Delalleau Proceedings of the thirteenth international conference on artificial …, 2010 | 124 | 2010 |
| The curse of dimensionality for local kernel machines Y Bengio, O Delalleau, N Le Roux Techn. Rep 1258 (12), 1, 2005 | 123 | 2005 |
| Beyond skill rating: Advanced matchmaking in ghost recon online O Delalleau, E Contal, E Thibodeau-Laufer, RC Ferrari, Y Bengio, ... IEEE Transactions on Computational Intelligence and AI in Games 4 (3), 167-177, 2012 | 118 | 2012 |
| Spectral clustering and kernel PCA are learning eigenfunctions Y Bengio, P Vincent, JF Paiement, O Delalleau, M Ouimet, N Le Roux CIRANO, 2003 | 92 | 2003 |
| Discrete and continuous action representation for practical rl in video games O Delalleau, M Peter, E Alonso, A Logut arXiv preprint arXiv:1912.11077, 2019 | 75 | 2019 |
| Spectral dimensionality reduction Y Bengio, O Delalleau, N Le Roux, JF Paiement, P Vincent, M Ouimet Feature Extraction: Foundations and Applications, 519-550, 2006 | 58 | 2006 |
| Theano: A Python framework for fast computation of mathematical expressions. arXiv R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv preprint arXiv:1605.02688 10, 2016 | 51 | 2016 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
