| 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, 177-184, 2003 | 1269 | 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 | 818* | 2016 |
| Shallow vs. deep sum-product networks O Delalleau, Y Bengio Advances in neural information processing systems 24, 666-674, 2011 | 351 | 2011 |
| Label Propagation and Quadratic Criterion Y Bengio, O Delalleau, N Le Roux Semi-Supervised Learning, 193-216, 2006 | 346 | 2006 |
| On the expressive power of deep architectures Y Bengio, O Delalleau International conference on algorithmic learning theory, 18-36, 2011 | 345 | 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 | 317 | 2004 |
| 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, 1-48, 2011 | 309 | 2011 |
| Justifying and generalizing contrastive divergence Y Bengio, O Delalleau Neural computation 21 (6), 1601-1621, 2009 | 257 | 2009 |
| The curse of highly variable functions for local kernel machines Y Bengio, O Delalleau, N Le Roux Advances in neural information processing systems 18, 107, 2006 | 228 | 2006 |
| 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 | 224 | 2005 |
| Convex neural networks Y Bengio, N Le Roux, P Vincent, O Delalleau, P Marcotte Advances in neural information processing systems 18, 123, 2006 | 191 | 2006 |
| 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 | 130 | 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 | 95 | 2010 |
| 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 | 89 | 2012 |
| The curse of dimensionality for local kernel machines Y Bengio, O Delalleau, N Le Roux Techn. Rep 1258, 12, 2005 | 87 | 2005 |
| Decision trees do not generalize to new variations Y Bengio, O Delalleau, C Simard Computational Intelligence 26 (4), 449-467, 2010 | 78 | 2010 |
| Spectral clustering and kernel PCA are learning eigenfunctions Y Bengio, P Vincent, JF Paiement, O Delalleau, M Ouimet, N Le Roux CIRANO, 2003 | 76 | 2003 |
| Spectral dimensionality reduction Y Bengio, O Delalleau, N Le Roux, JF Paiement, P Vincent, M Ouimet Feature Extraction, 519-550, 2006 | 53 | 2006 |
| Plearn high-performance machine learning library P Vincent, Y Bengio, N Chapados, O Delalleau URL http://plearn. berlios. de, 0 | 37 | |
| Learning eigenfunctions of similarity: linking spectral clustering and kernel PCA Y Bengio, P Vincent, JF Paiement, O Delalleau, M Ouimet, N LeRoux Technical Report 1232, Departement d’Informatique et Recherche Oprationnelle …, 2003 | 36 | 2003 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
