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All publications by Pascal Vincent
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Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets
Pascal Vincent, Alexandre D. Brébisson and Xavier Bouthillier
Advances in Neural Information Processing Systems 28, 2015


Generalized Denoising Auto-Encoders as Generative Models
Yoshua Bengio, Li Yao, Guillaume Alain and Pascal Vincent
Advances in Neural Information Processing Systems 26, 2013


A Generative Process for sampling Contractive Auto-Encoders
Salah Rifai, Yoshua Bengio, Pascal Vincent and Yann N. Dauphin
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription
Nicolas Boulanger-lewandowski, Yoshua Bengio and Pascal Vincent
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


The Manifold Tangent Classifier
Salah Rifai, Yann N. Dauphin, Pascal Vincent, Yoshua Bengio and Xavier Muller
Advances in Neural Information Processing Systems 24, 2011


Contractive Auto-Encoders: Explicit Invariance During Feature Extraction
Salah Rifai, Pascal Vincent, Xavier Muller, Xavier Glorot and Yoshua Bengio
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Why Does Unsupervised Pre-training Help Deep Learning?
Dumitru Erhan, Aaron C. Courville, Yoshua Bengio and Pascal Vincent
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines
Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio, Pascal Vincent and Olivier Delalleau
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Deep Learning using Robust Interdependent Codes
Hugo Larochelle, Dumitru Erhan and Pascal Vincent
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-Training
Dumitru Erhan, Pierre-antoine Manzagol, Yoshua Bengio, Samy Bengio and Pascal Vincent
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Extracting and composing robust features with denoising autoencoders
Pascal Vincent, Hugo Larochelle, Yoshua Bengio and Pierre-antoine Manzagol
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


The Need for Open Source Software in Machine Learning
Sören Sonnenburg, Mikio L. Braun, Cheng S. Ong, Samy Bengio, Léon Bottou, Geoffrey Holmes, Yann Lecun, Klaus-robert Müller, Fernando Pereira, Carl E. Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Pascal Vincent, Jason Weston, Robert C. Williamson and Alex J. Smola
Journal of Machine Learning Research, 2007


Convex Neural Networks
Yoshua Bengio, Nicolas L. Roux, Pascal Vincent, Olivier Delalleau and Patrice Marcotte
Advances in Neural Information Processing Systems 18, 2005


Non-Local Manifold Parzen Windows
Yoshua Bengio, Hugo Larochelle and Pascal Vincent
Advances in Neural Information Processing Systems 18, 2005


Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering
Yoshua Bengio, Jean-françcois Paiement, Pascal Vincent, Olivier Delalleau, Nicolas L. Roux and Marie Ouimet
Advances in Neural Information Processing Systems 16, 2003


A Neural Probabilistic Language Model
Yoshua Bengio, Réjean Ducharme, Pascal Vincent and Christian Janvin
Journal of Machine Learning Research, 2003


Manifold Parzen Windows
Pascal Vincent and Yoshua Bengio
Advances in Neural Information Processing Systems 15, 2002


K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms
Pascal Vincent and Yoshua Bengio
Advances in Neural Information Processing Systems 14, 2001