Rapport annuel complet - GRSNC - Université de Montréal
Rapport annuel complet - GRSNC - Université de Montréal
Rapport annuel complet - GRSNC - Université de Montréal
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BENGIO, YoshuaTél. bureau: (514) 343-6804 Informatique 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.ca URL 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> MontréalAppartenance à d'autres groupes / Affiliation with other groupsMembre du Groupe <strong>de</strong> recherche sur le système nerveux central (<strong>GRSNC</strong>) du FRSQFormation / TrainingB.Sc., Université McGill, Electrical Engineering, 1986M.Sc., Université McGill, Computer Science, 1988Ph.D., Université McGill, Computer Science, 1991Postdoctorat, Massachussetts Institute of Technology, Artificial Intelligence, 1992Orientations <strong>de</strong> la recherche• Apprentissage statistique et neural.• Algorithmes d’apprentissage non-paramétriques.• Algorithmes d’apprentissage dans le domaine temporel.Principaux projets en cours :• Apprentissage non-supervisé d’abstractions <strong>de</strong> haut niveau à partir <strong>de</strong> plusieurs modalités sensorielles.Research orientations•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. MotorLearning 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, N. Le Roux, P. Vincent, O. Delalleau, P. Marcotte, Convex Neural Networks., In Advances in Neural Information Processing Systems 18, 2006.18, 2006.Bengio, Y. On the Challenge of Learning Complex Functions, in: Computational Neuroscience: Theoretical Insights into Brain Function, Elsevier, 2007.Bengio, Y., Lamblin, P., Popovici, D., and Larochelle H. Greedy Layer-Wise Training of Deep Networks, in: Advances in Neural Information Processing Systems19, pages 153-160, MIT Press, 2007.Page 21
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