About
Discord Stateoftheart AI
GitHub

Publications

113

Cited by

37008

Pascal Vincent

machine learningdeep learningartificial intelligence

Facebook AI Research; U. Montreal (Professor, Computer Sc. & Op. Res.); MILA; CIFAR

Papers and Citations

1 - 50
Representation learning: A review and new perspectives
2013
Pascal Vincent
Aaron Courville
Yoshua Bengio
Cited by 9117
A neural probabilistic language model
2003
Pascal Vincent
Yoshua Bengio
R Ducharme
Cited by 7020
Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion.
2010
Pierre-Antoine Manzagol
Isabelle Lajoie
Pascal Vincent
+5
Cited by 6075
Extracting and composing robust features with denoising autoencoders
2008
Pierre-Antoine Manzagol
Pascal Vincent
Yoshua Bengio
+2
Cited by 5636
Why does unsupervised pre-training help deep learning?
2010
Aaron Courville
Yoshua Bengio
Pascal Vincent
+1
Cited by 2587
Contractive auto-encoders: Explicit invariance during feature extraction
2011
Xavier Glorot
Salah Rifai
Pascal Vincent
+2
Cited by 1377
Out-of-sample extensions for lle, isomap, mds, eigenmaps, and spectral clustering
2004
Yoshua Bengio
Pascal Vincent
Olivier Delalleau
+3
Cited by 1202
Visualizing higher-layer features of a deep network
2009
Aaron Courville
Dumitru Erhan
Yoshua Bengio
+1
Cited by 1016
Theano: A Python framework for fast computation of mathematical expressions
2016
Alexandre de Brébisson
Alexander Belopolsky
Jeremiah Lowin
+109
Cited by 735
Modeling temporal dependencies in high-dimensional sequences: Application to polyphonic music generation and transcription
2012
Yoshua Bengio
Pascal Vincent
Nicolas Boulanger-Lewandowski
Cited by 647
Unsupervised feature learning and deep learning: A review and new perspectives
2012
Aaron Courville
Yoshua Bengio
Pascal Vincent
Cited by 505
The difficulty of training deep architectures and the effect of unsupervised pre-training
2009
Yoshua Bengio
Pascal Vincent
Dumitru Erhan
+2
Cited by 479
Generalized denoising auto-encoders as generative models
2013
Yoshua Bengio
Pascal Vincent
Li Yao
+1
Cited by 437
Kernel matching pursuit
2002
Pascal Vincent
Yoshua Bengio
Cited by 363
A connection between score matching and denoising autoencoders
2011
Pascal Vincent
Cited by 316
Learning eigenfunctions links spectral embedding and kernel PCA
2004
Pascal Vincent
Olivier Delalleau
Yoshua Bengio
+3
Cited by 294
Emonets: Multimodal deep learning approaches for emotion recognition in video
2016
Pascal Lamblin
Roland Memisevic
Raul Chandias Ferrari
+15
Cited by 281
The manifold tangent classifier
2011
Xavier Muller
Yann N. Dauphin
Pascal Vincent
+3
Cited by 271
Combining modality specific deep neural networks for emotion recognition in video
2013
David Warde-Farley
Yoshua Bengio
Chris Pal
+25
Cited by 265
K-local hyperplane and convex distance nearest neighbor algorithms
2002
Pascal Vincent
Yoshua Bengio
Cited by 232
Disentangling factors of variation for facial expression recognition
2012
Salah Rifai
Yoshua Bengio
Aaron Courville
+2
Cited by 203
The need for open source software in machine learning
2007
Fernando Pereira
Yann LeCun
Klaus-Robert Müller
+13
Cited by 201
Unsupervised and transfer learning challenge: a deep learning approach
2012
Pascal Vincent
Yoshua Bengio
Xavier Glorot
+9
Cited by 200
Higher order contractive auto-encoder
2011
Pascal Vincent
Xavier Muller
Yann N. Dauphin
+5
Cited by 195
Audio Chord Recognition with Recurrent Neural Networks.
2013
Pascal Vincent
Nicolas Boulanger-Lewandowski
Yoshua Bengio
Cited by 181
Convex neural networks
2006
Yoshua Bengio
Nicolas Le Roux
Pascal Vincent
+2
Cited by 169
Audio Chord Recognition with Recurrent Neural Networks
2013
Nicolas Boulanger-Lewandowski
Yoshua Bengio
Pascal Vincent
Cited by 159
Artificial neural networks applied to taxi destination prediction
2015
Pascal Vincent
Alexandre De Brébisson
Yoshua Bengio
+3
Cited by 159
Manifold parzen windows
2003
Pascal Vincent
Yoshua Bengio
Cited by 136
Tempered Markov chain Monte Carlo for training of restricted Boltzmann machines
2010
Yoshua Bengio
Pascal Vincent
Guillaume Desjardins
+2
Cited by 128
A variational inequality perspective on generative adversarial networks
2018
Gauthier Gidel
Gaëtan Vignoud
Hugo Berard
+2
Cited by 119
fastMRI: An open dataset and benchmarks for accelerated MRI
2018
Zizhao Zhang
Matthew J. Muckley
Anuroop Sriram
+20
Cited by 103
Recombinator networks: Learning coarse-to-fine feature aggregation
2016
Jason Yosinski
Chris Pal
Sina Honari
+1
Cited by 93
Parallel tempering for training of restricted Boltzmann machines
2010
Yoshua Bengio
Pascal Vincent
Olivier Delalleau
+2
Cited by 91
Improving landmark localization with semi-supervised learning
2018
Sina Honari
Stephen Tyree
Jan Kautz
+3
Cited by 86
Hierarchical memory networks
2016
Sungjin Ahn
Sarath Chandar
Yoshua Bengio
+3
Cited by 78
RATM: recurrent attentive tracking model
2017
Roland Memisevic
Pascal Vincent
Chris Pal
+2
Cited by 76
Quickly generating representative samples from an rbm-derived process
2011
Olivier Breuleux
Pascal Vincent
Yoshua Bengio
Cited by 73
A generative process for sampling contractive auto-encoders
2012
Pascal Vincent
Yoshua Bengio
Yann N. Dauphin
+1
Cited by 73
Dropout as data augmentation
2015
Pascal Vincent
kishore reddy konda
Xavier Bouthillier
+1
Cited by 72
Spectral clustering and kernel PCA are learning eigenfunctions
2003
Pascal Vincent
Nicolas Le Roux
Yoshua Bengio
+3
Cited by 71
Non-local manifold parzen windows
2006
Hugo Larochelle
Yoshua Bengio
Pascal Vincent
Cited by 57
Adding noise to the input of a model trained with a regularized objective
2011
Xavier Glorot
Salah Rifai
Pascal Vincent
+1
Cited by 55
Learning to compute word embeddings on the fly
2017
Tom Bosc
Edward Grefenstette
Pascal Vincent
+4
Cited by 55
An Exploration of Softmax Alternatives Belonging to the Spherical Loss Family
2016
A de Brébisson
Pascal Vincent
Cited by 51
Efficient exact gradient update for training deep networks with very large sparse targets
2015
Pascal Vincent
Alexandre De Brébisson
Xavier Bouthillier
+1
Cited by 48
Spectral dimensionality reduction
2006
Pascal Vincent
Olivier Delalleau
Nicolas Le Roux
+3
Cited by 46
High-dimensional sequence transduction
2013
Nicolas Boulanger-Lewandowski
Yoshua Bengio
Pascal Vincent
Cited by 43
GSNs: generative stochastic networks
2016
Saizheng Zhang
Yoshua Bengio
Pascal Vincent
+4
Cited by 40
Deep learning using robust interdependent codes
2009
Pascal Vincent
Dumitru Erhan
Hugo Larochelle
Cited by 37