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Conférences Servier - GRSNC - Université de Montréal

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BENGIO, YoshuaTél. bureau: (514) 343-6804Informatique et recherche opérationelleUniversité <strong>de</strong> MontréalC.P. 6128, Succ. Centre-ville, Montréal (Québec)Fax: (514) 343-5834 Canada H3C 3J7URL site WWW: www.iro.umontreal.ca/~bengioyE-Mail: yoshua.bengio@umontreal.caURL personnel CV:BENGIO, YoshuaStatut universitaire / University statusProfesseur titulaireInformatique et recherche opérationelleFaculté <strong>de</strong>s arts et <strong>de</strong>s sciencesUniversité <strong>de</strong> MontréalFormation / TrainingB.Sc., Université McGill, Electrical Engineering, 1986M.Sc., Université McGill, Computer Science, 1988Ph.D., Université McGill, Computer Science, 1991Postdoctorale, Massachussetts Institute of Technology, Artificial Intelligence, 1992Orientation <strong>de</strong> la recherche• Apprentissage statistique et neural.• Algorithmes d’apprentissage non-paramétriques.• Algorithmes d’apprentissage dans le domaine temporal.Principaux projets en cours :• Apprentissage non-supervisé d’abstractions <strong>de</strong> haut niveau à partir <strong>de</strong> plusieurs modalités sensorielles.Research orientation• Neural computation and statistical learning.• Non-parametric learning algorithms• Learning algorithms for temporally structured dataCurrent research projects :• Unsupervised learning of high-level abstractions from multiple sensory modalitiesPublications choisies/Selected publicationsBengio, Y., Ducharme, R., Vincent, P., Jauvin, C. A neural probabilistic language mo<strong>de</strong>l. Journal of Machine Learning Research, 3 :1137-1155, 2003.Rivest, F., Bengio, Y., Kalaska, J.F. Learning motor skills in unsupervi<strong>de</strong>d sensory cortex reinforced basal ganglia and semi-unsupervised frontal cortex.Motor Learning and Plasticity Satellite Meeting, Neural Control of Movement Conference, 2004.Y. Bengio, O. Delalleau, N. Le Roux, The Curse of Highly Variable Functions for Local Kernel Machines., In Advances in Neural Information ProcessingSystems 18, 2006.Y. Bengio, P. Lamblin, D. Popovici and H. Larochelle, Greedy Layer-Wise Training of Deep Networks. In Advances in Neural Information ProcessingSystems 19, 2007.Page 21

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