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- Yoshua Bengio, RÃ©jean Ducharme, Pascal Vincent
- NIPS
- 2000

A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dimensionality: a wordâ€¦ (More)

- Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio, Pierre-Antoine Manzagol
- Journal of Machine Learning Research
- 2010

We explore an original strategy for building deep networks, based on stacking layers of denoising autoencoderswhich are trained locally to denoise corrupted versions of t heir inputs. The resultingâ€¦ (More)

Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to useful intermediateâ€¦ (More)

- Yoshua Bengio, Aaron C. Courville, Pascal Vincent
- IEEE Transactions on Pattern Analysis and Machineâ€¦
- 2013

The success of machine learning algorithms generally depends on data representation, and we hypothesize that this is because different representations can entangle and hide more or less the differentâ€¦ (More)

- Rami Al-Rfou', Guillaume Alain, +109 authors Ying Zhang
- ArXiv
- 2016

Theano is a Python library that allows to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Since its introduction, it has been one of the mostâ€¦ (More)

- Salah Rifai, Pascal Vincent, Xavier Muller, Xavier Glorot, Yoshua Bengio
- ICML
- 2011

We present in this paper a novel approach for training deterministic auto-encoders. We show that by adding a well chosen penalty term to the classical reconstruction cost function, we can achieveâ€¦ (More)

Several unsupervised learning algorithms based on an eigendecomposition provide either an embedding or a clustering only for given training points, with no straightforward extension for out-of-sampleâ€¦ (More)

- Dumitru Erhan, Yoshua Bengio, Aaron C. Courville, Pierre-Antoine Manzagol, Pascal Vincent, Samy Bengio
- Journal of Machine Learning Research
- 2010

Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtained in severalâ€¦ (More)

- Pascal Vincent, Yoshua Bengio
- Machine Learning
- 2002

Matching Pursuit algorithms learn a function that is a weighted sum of basis functions, by sequentially appending functions to an initially empty basis, to approximate a target function in theâ€¦ (More)

- Pascal Vincent, Yoshua Bengio
- NIPS
- 2001

Guided by an initial idea of building a complex (non linear) d ecision surface with maximalocal margin in input space, we give a possible geometrical intuition as to why K-Nearest Neighbor (KNN) alâ€¦ (More)