Pascal Vincent

Grégoire Mesnil, Yann Dauphin, Xavier Glorot, Salah Rifai, Yoshua Bengio, Ian J. Goodfellow, Erick Lavoie, Xavier Muller, Guillaume Desjardins, David Warde-Farley, Pascal Vincent, Aaron C. Courville, James Bergstra: Unsupervised and Transfer Learning Challenge: a Deep Learning Approach. Journal of Machine Learning Research - Proceedings Track 27: 97-110 (2012)

Salah Rifai, Yoshua Bengio, Aaron C. Courville, Pascal Vincent, Mehdi Mirza: Disentangling Factors of Variation for Facial Expression Recognition. ECCV (6) 2012: 808-822

Nicolas Boulanger-Lewandowski, Yoshua Bengio, Pascal Vincent: Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription. ICML 2012

Salah Rifai, Yann Dauphin, Pascal Vincent, Yoshua Bengio: A Generative Process for Contractive Auto-Encoders. ICML 2012

Nicolas Boulanger-Lewandowski, Yoshua Bengio, Pascal Vincent: Discriminative Non-negative Matrix Factorization for Multiple Pitch Estimation. ISMIR 2012: 205-210

Yoshua Bengio, Aaron C. Courville, Pascal Vincent: Unsupervised Feature Learning and Deep Learning: A Review and New Perspectives. CoRR abs/1206.5538 (2012)

Nicolas Boulanger-Lewandowski, Yoshua Bengio, Pascal Vincent: High-dimensional sequence transduction. CoRR abs/1212.1936 (2012)

Charles Dugas, Nicolas Chapados, Réjean Ducharme, Xavier Saint-Mleux, Pascal Vincent: A high-order feature synthesis and selection algorithm applied to insurance risk modelling. IJBIDM 6(3): 237-258 (2011)

Pascal Vincent: A Connection Between Score Matching and Denoising Autoencoders. Neural Computation 23(7): 1661-1674 (2011)

Olivier Breuleux, Yoshua Bengio, Pascal Vincent: Quickly Generating Representative Samples from an RBM-Derived Process. Neural Computation 23(8): 2058-2073 (2011)

Salah Rifai, Pascal Vincent, Xavier Muller, Xavier Glorot, Yoshua Bengio: Contractive Auto-Encoders: Explicit Invariance During Feature Extraction. ICML 2011: 833-840

Samuel Guillon, Daisuke Saya, Laurent Mazenq, Liviu Nicu, Sorin Perisanu, Pascal Vincent: Fabrication and characterization of 100-nm wide silicon nanocantilevers using top-down approach. NEMS 2011: 258-261

Salah Rifai, Yann Dauphin, Pascal Vincent, Yoshua Bengio, Xavier Muller: The Manifold Tangent Classifier. NIPS 2011: 2294-2302

Salah Rifai, Grégoire Mesnil, Pascal Vincent, Xavier Muller, Yoshua Bengio, Yann Dauphin, Xavier Glorot: Higher Order Contractive Auto-Encoder. ECML/PKDD (2) 2011: 645-660

Salah Rifai, Xavier Glorot, Yoshua Bengio, Pascal Vincent: Adding noise to the input of a model trained with a regularized objective. CoRR abs/1104.3250 (2011)

Salah Rifai, Xavier Muller, Xavier Glorot, Grégoire Mesnil, Yoshua Bengio, Pascal Vincent: Learning invariant features through local space contraction. CoRR abs/1104.4153 (2011)

Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio, Pascal Vincent, Olivier Delalleau: Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines. Journal of Machine Learning Research - Proceedings Track 9: 145-152 (2010)

Dumitru Erhan, Aaron C. Courville, Yoshua Bengio, Pascal Vincent: Why Does Unsupervised Pre-training Help Deep Learning? Journal of Machine Learning Research - Proceedings Track 9: 201-208 (2010)

Dumitru Erhan, Yoshua Bengio, Aaron C. Courville, Pierre-Antoine Manzagol, Pascal Vincent, Samy Bengio: Why Does Unsupervised Pre-training Help Deep Learning? Journal of Machine Learning Research 11: 625-660 (2010)

Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio, Pierre-Antoine Manzagol: Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion. Journal of Machine Learning Research 11: 3371-3408 (2010)

Dumitru Erhan, Pierre-Antoine Manzagol, Yoshua Bengio, Samy Bengio, Pascal Vincent: The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-Training. Journal of Machine Learning Research - Proceedings Track 5: 153-160 (2009)

Hugo Larochelle, Dumitru Erhan, Pascal Vincent: Deep Learning using Robust Interdependent Codes. Journal of Machine Learning Research - Proceedings Track 5: 312-319 (2009)

Nicolas Chapados, Charles Dugas, Pascal Vincent, Réjean Ducharme: Scoring Models for Insurance Risk Sharing Pool Opimization. ICDM Workshops 2008: 97-105

Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pierre-Antoine Manzagol: Extracting and composing robust features with denoising autoencoders. ICML 2008: 1096-1103

Sören Sonnenburg, Mikio L. Braun, Cheng Soon Ong, Samy Bengio, Léon Bottou, Geoffrey Holmes, Yann LeCun, Klaus-Robert Müller, Fernando Pereira, Carl Edward Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, Pascal Vincent, Jason Weston, Robert C. Williamson: The Need for Open Source Software in Machine Learning. Journal of Machine Learning Research 8: 2443-2466 (2007)

Yoshua Bengio, Hugo Larochelle, Pascal Vincent: Non-Local Manifold Parzen Windows. NIPS 2005

Yoshua Bengio, Nicolas Le Roux, Pascal Vincent, Olivier Delalleau, Patrice Marcotte: Convex Neural Networks. NIPS 2005

Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux, Jean-François Paiement, Pascal Vincent, Marie Ouimet: Learning Eigenfunctions Links Spectral Embedding and Kernel PCA. Neural Computation 16(10): 2197-2219 (2004)

Yoshua Bengio, Réjean Ducharme, Pascal Vincent, Christian Janvin: A Neural Probabilistic Language Model. Journal of Machine Learning Research 3: 1137-1155 (2003)

Yoshua Bengio, Jean-François Paiement, Pascal Vincent, Olivier Delalleau, Nicolas Le Roux, Marie Ouimet: Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering. NIPS 2003

Pascal Vincent, Yoshua Bengio: Kernel Matching Pursuit. Machine Learning 48(1-3): 165-187 (2002)

Pascal Vincent, Yoshua Bengio: Manifold Parzen Windows. NIPS 2002: 825-832

Pascal Vincent, Yoshua Bengio: K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms. NIPS 2001: 985-992

Nicolas Chapados, Yoshua Bengio, Pascal Vincent, Joumana Ghosn, Charles Dugas, Ichiro Takeuchi, Linyan Meng: Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference. NIPS 2001: 1369-1376

Ryad Benosman, Francis Bras, Frederic Bach, Simon Boulay, Emmanuelle Cahn, Sylvain Come, Gilles Cordurié, Jarlegan Marie Annick, Lapied Loic, Cyrille Potereau, Franck Richard, Samedi Sath, Xavier Vasseur, Pascal Vincent: ROBOSIX UPMC-CFA: RoboCup Team Description. RoboCup 2001: 665-668

Pascal Vincent, Yoshua Bengio: A Neural Support Vector Network Architecture with Adaptive Kernels. IJCNN (5) 2000: 187-192

Yoshua Bengio, Réjean Ducharme, Pascal Vincent: A Neural Probabilistic Language Model. NIPS 2000: 932-938

Patrick Haffner, Yann LeCun, Léon Bottou, Paul G. Howard, Pascal Vincent, Bill Riemers: Color Documents on the Web with DJVU. ICIP (1) 1999: 239-243

Patrick Thévenoux, Pascal Vincent: Region Tracking through Neural Classifier. MVA 1990: 275-278