Nicolas Le Roux
First name(s): Nicolas
Last name(s): Le Roux

Publications of Nicolas Le Roux
2011
2010
Nicolas Le Roux and Yoshua Bengio, Deep Belief Networks are Compact Universal Approximators (2010), in: Neural Computation, 22:8(2192-2207)
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2008
Nicolas Le Roux, Yoshua Bengio, Pascal Lamblin, Marc Joliveau and Balázs Kégl, Learning the 2-D Topology of Images, in: Advances in Neural Information Processing Systems 20 (NIPS'07), pages 841--848, MIT Press, 2008
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Nicolas Le Roux, Pierre-Antoine Manzagol and Yoshua Bengio, Topmoumoute online natural gradient algorithm, in: Advances in Neural Information Processing Systems 20 (NIPS'07), MIT Press, 2008
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2007
Nicolas Le Roux and Yoshua Bengio, Continuous Neural Networks, in: Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS'07), Omnipress, 2007
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Nicolas Le Roux and Yoshua Bengio, Representational Power of Restricted Boltzmann Machines and Deep Belief Networks, Département d'Informatique et de Recherche Opérationnelle, Université de Montréal, number 1294, 2007
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Nicolas Le Roux, Pierre-Antoine Manzagol and Yoshua Bengio, Topmoumoute online natural gradient algorithm, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1299, 2007
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2006
Nicolas Le Roux and Yoshua Bengio, Continuous Neural Networks, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1281, 2006
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Yoshua Bengio, Nicolas Le Roux, Pascal Vincent, Olivier Delalleau and Patrice Marcotte, Convex Neural Networks, in: Advances in Neural Information Processing Systems 18 (NIPS'05), pages 123--130, MIT Press, 2006
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Yoshua Bengio, Olivier Delalleau and Nicolas Le Roux, Label Propagation and Quadratic Criterion, in: Semi-Supervised Learning, pages 193--216, {MIT} Press, 2006
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Olivier Delalleau, Yoshua Bengio and Nicolas Le Roux, Large-Scale Algorithms, in: Semi-Supervised Learning, pages 333--341, {MIT} Press, 2006
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Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux, Jean-François Paiement, Pascal Vincent and Marie Ouimet, Spectral Dimensionality Reduction, in: Feature Extraction, Foundations and Applications, Springer, 2006
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Yoshua Bengio, Olivier Delalleau and Nicolas Le Roux, The Curse of Highly Variable Functions for Local Kernel Machines, in: Advances in Neural Information Processing Systems 18 (NIPS'05), pages 107--114, MIT Press, 2006
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2005
Yoshua Bengio, Nicolas Le Roux, Pascal Vincent, Olivier Delalleau and Patrice Marcotte, Convex neural networks, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1263, 2005
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Olivier Delalleau, Yoshua Bengio and Nicolas Le Roux, Efficient Non-Parametric Function Induction in Semi-Supervised Learning, in: Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics (AISTATS'05), Savannah Hotel, Barbados, pages 96--103, Society for Artificial Intelligence and Statistics, 2005
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Yoshua Bengio, Olivier Delalleau and Nicolas Le Roux, The Curse of Dimensionality for Local Kernel Machines, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1258, 2005
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2004
Yoshua Bengio, Olivier Delalleau and Nicolas Le Roux, Efficient Non-Parametric Function Induction in Semi-Supervised Learning, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1247, 2004
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2003
Yoshua Bengio, Pascal Vincent, Jean-François Paiement, Olivier Delalleau, Marie Ouimet and Nicolas Le Roux, Spectral Clustering and Kernel PCA are Learning Eigenfunctions, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1239, 2003
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