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    CIFAR is supported by the governments of Canada, Alberta, Ontario, and Quebec as well as international partner organizations, individuals, foundations, and corporations. Bengio, Yoshua and Samy Bengio (2000). Learn more about blocking users. M5G 1M1 ===== Yoshua Bengio 1. Il est le fondateur et le directeur de l’Institut des algorithmes d’apprentissage de Montréal à l’Université de Montréal. Keep up to date on what’s happening in AI by subscribing to our bi-monthly email publication The AICan Bulletin. Contact GitHub support about this user’s behavior. But when the Université de Montréal computer science professor learned that the biggest computing organization in the world had named him a winner of the $1-million A.M. Turing Award, he was stunned. Parallèlement, il fonde et assure la direction scientifique de Mila — l’Institut québecois d’intelligence artificielle — le plus important groupe universitaire de recherche en apprentissage profond au monde. THE BENGIO BROTHERS. Yoshua Bengio, Li Yao, Guillaume Alain, and Pascal Vincent (2013). How to say Yoshua Bengio in English? He attributes his comfort in … T: 416.971.4251, Department of Computer Science and Operations Research and Institut des algorithmes d’apprentissage de Montréal, PhD (Computer Science), McGill University. Eye on AI sat down with the two recently for their first … “Ex-tracting and Composing Robust Features with Denoising Autoencoders”. Et s’est très vite mis à se passionner pour les sciences. In: AISTATS’2011. "Deep learning." High energy: Facebook's AI guru LeCun imagines AI's next frontier. Dauphin, Yann, Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, Surya Ganguli, and Yoshua Bengio (2014). It looks like we don't have any Biography for Yoshua Bengio yet.. Be the first to contribute! Il est notamment officier de l’Ordre du Canada, fellow de la Société royale du Canada, récipiendaire du Prix Marie-Victorin en plus d’avoir été nommé Scientifique de l’année par Radio-Canada en 2017. Block user. Professeur titulaire, Département d’informatique et de recherche opérationnelle, Université de Montréal. ACM, pp. "Deep learning. In: Proceedings of the Twenty-fifth International Conference on Machine Learning (ICML’08). Understanding intelligence and its implications at all levels to unlock artificial intelligence (AI) is Yoshua Bengio’s long-term goal. Bahdanau, Dzmitry, Kyunghyun Cho, and Yoshua Bengio (2015). “Greedy Layer-Wise Training of Deep Networks”. Just click the "Edit page" button at the bottom of the page or learn more in the Biography submission guide. He is the founder and director of the Institut des algorithmes d’apprentissage de Montréal at Université de Montréal. 436–444. C’est leur père, qui était biologiste, qui les a poussés, son frère Samy et lui, à faire de la science. CIFAR is a Canadian-based global research organization that convenes extraordinary minds to address the most important questions facing science and humanity. Block or report user Block or report yoshua. Cited by. Deep Learning. Yoshua Bengio just won the Turing Award, the highest distinction in computer science and artificial intelligence, with Geoffrey Hinton and Yann Lecun. by S.A. Solla, T.K. 2278–2324. What many people don't know is how intertwined Yoshua’s career has been with that of his brother, Samy, a machine learning scientist at Google Brain. In: Advances in Neural Information Processing Systems 12 (NIPS’99). Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Goodfellow, I.J., Y. Bengio, and A. Courville. 6666, rue St-Urbain, bureau 200 Yoshua Bengio is recognized as one of the world’s leading experts in artificial intelligence and a pioneer in deep learning. Foundations and Trends in Machine Learning 2.1, The Curse of Highly Variable Functions for Local Kernel Machines, International Joint Conference on Neural Networks, La science et l’innovation en temps de pandémie, Dépistage pair à pair de la COVID-19 basé sur l’IA, Il est temps de repenser le processus de publication en apprentissage automatique. Yoshua Bengio was Program Chair for NIPS’2008 and General Chair for NIPS’2009 (NIPS is the flagship conference in the areas of learning algorithms and neural computation). 1137– 1155. Since 1993, he has been a professor in the Department of Computer Science and Operational Research at the Université de Montréal. Ces honneurs reflètent l’influence profonde de son travail sur l’évolution de notre société. Autre exemple, en télécommunications : ses travaux permettent d'effectuer des analyses de clientèle chez Bell dans le but de diminuer les coûts de marketing. This file contains additional information, probably added from the digital camera or scanner used to create or digitize it. 661 University Ave., In: NIPS’2006. Julie Mongeau Le professeur Bengio aspire à découvrir les principes qui mènent à l’intelligence grâce à l’apprentissage et ses recherches lui ont valu plusieurs distinctions. “Modeling High-Dimensional Discrete Data with Multi-Layer Neural Networks”. “Understanding the difficulty of training deep feedforward neural networks”. MIT Press, pp. Cited by. Relations avec les médias Machine learning deep learning artificial intelligence. In: AISTATS’2010. Below is the table of contents for the presentation. Reconnu comme l’un des plus grands experts mondiaux en intelligence artificielle, Yoshua Bengio est en outre un pionnier de l’apprentissage profond. “Curriculum Learning”. Yoshua Bengio, a Canadian computer scientist who helped pioneer the techniques underpinning much of the current excitement around artificial intelligence, is … Montufar, Guido F., Razvan Pascanu, KyungHyun Cho, and Yoshua Bengio (2014). Préoccupé par les impacts sociaux de cette nouvelle technologie, il a contribué activement à l’élaboration de la Déclaration de Montréal pour un développement responsable de l’intelligence artificielle. Yoshua Bengio est professeur titulaire au département d’informatique et recherche opérationnelle de l’université de Montréal, fondateur et directeur scientifique de Mila et d’IVADO, Fellow de la Société Royale de Londres et de la Société Royale du Canada, il a reçu le prix Turing 2018 pour ses travaux de pionniers de l’apprentissage profond, a reçu une chaire du Canada et une chaire CIFAR en IA, est un officier de l’Ordre du Canada, un membre du conseil aviseur de la fondation NeurIPS, cofondateur et membre du conseil de la conférence ICLR et directeur du programme CIFAR sur l’apprentissage automatique et biologique. “Deep Learning”. Prevent this user from interacting with your repositories and sending you notifications. In: Foundations and Trends in Machine Learning 2.1, pp. by Ian Goodfellow , Yoshua Bengio , Aaron Courville ( 1,079 ) $50.99. Since 1993, he has been a professor in the Department of Computer Science and Operational Research at the Université de Montréal . Glorot, X., A. Bordes, and Y. Bengio (2011). 1 1 1 1. Nature 521, no. "Neural machine translation by jointly learning to align and translate.”, Earth 4D: Subsurface Science & Exploration, Innovation, Equity & The Future of Prosperity, CIFAR Azrieli Global Scholars - Social Media Toolkit, Pan-Canadian Artificial Intelligence Strategy, Read the latest issue of the AICan Bulletin. 1096–1103. Seattle, WA, II–A969. In: NIPS’2014, arXiv:1406.2572. Yoshua Bengio; Metadata. University of Montreal professor Yoshua Bengio is well known for his groundbreaking work in artificial intelligence, most specifically for his discoveries in deep learning. “Learning Long-Term Dependencies with Gradient Descent is Difficult”. by William W. Cohen, Andrew McCallum, and Sam T. Roweis. In: NIPS’2014, arXiv:1406.2661. Bengio, Y., P. Simard, and P. Frasconi (1994). “On the number of inference regions of deep feed forward networks with piece-wise linear activations”. NIPS’2005. "Neural machine translation by jointly learning to align and translate.” ICLR, 2015. arXiv:1409.0473. Yoshua Bengio est reconnu comme l’un des plus grands experts mondiaux en matière d’intelligence artificielle et comme un pionnier de l’apprentissage profond. He is a Professor at the University of Montreal, scientific director of Mila (the Montreal Institute for Learning Algorithms), and co-founder of Element AI, a company that delivers software products for practical business applications of AI. “Gradient-Based Learning Applied to Document Recognition”. Stay updated with our news, events, conferences and workshops and latest discoveries around the world. Yoshua Bengio is no stranger to accolades. Adjointe du professeur Bengio His parents had rejected their traditional Moroccan Jewish upbringings to embrace the 1960s counterculture’s focus on personal freedom and social solidarity. If you are familiar with him, please correct the wrong things, and answer the " " parts. Depuis 1993, il œuvre à titre de professeur au Département d’informatique et de recherche opérationnelle (DIRO) de l’Université de Montréal. In: ICML’09, 2009_curriculum_icml. Bengio, Yoshua, Samy Bengio, Jocelyn Cloutier, and Jan Gecsei (1991). Ed. He was previously employed as a research scientist at Google Brain.He has made several contributions to the field of deep learning. He has contributed to a wide spectrum of machine learning areas and is well known for his theoretical results […] “Neural Machine Translation by Jointly Learning to Align and Translate”. In: International Joint Conference on Neural Networks (IJCNN). “Generative Adversarial Networks”. In: Proceedings of the IEEE 86.11, pp. Depuis 1993, il est professeur au Département d’informatique et de recherche opérationnelle de l’Université de Montréal. by Bernhard Schölkopf, John Platt, and Thomas Hoffman. Fondateur et directeur scientifique de Mila. “Written by … For a presentation assignment, I would like to introduce "Yoshua Bengio", who is one of the gurus in Computer Science. Bahdanau, D., K. Cho, and Y. Bengio. Suite 505 , Toronto, ON vincent.martineau@mila.quebec, Mila – Institut québécois d’intelligence artificielle En 2018, Yoshua Bengio est l’informaticien qui recueille le plus grand nombre de nouvelles citations au monde, grâce à ses nombreuses publications. Yoshua Bengio was born to two college students in Paris, France. Codirecteur du programme Apprentissage automatique, apprentissage biologique du CIFAR, il est également fondateur et directeur scientifique de Mila, l’Institut québécois d’intelligence artificielle, le plus important groupe universitaire de recherche en apprentissage profond au monde. Yoshua Bengio is the world-leading expert on deep learning and author of the bestselling book on that topic. En savoir plus sur la Plate-forme Auteurs. Previous page. Yoshua Bengio FRS OC FRSC (born 1964 in Paris, France) is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning. Yoshua Bengio OC (born 1964 in France) is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning. to target humans without human oversight. An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. Bengio, Yoshua (2009). “On the Number of Linear Regions of Deep Neural Networks”. LeCun, Y., Y. Bengio, and G. Hinton. In: International Conference on Learning Representations 2014 (Conference Track),arXiv:1305.6663. Software used: Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Jauvin (2003). MaRS Centre, West Tower Since 1999, he has been co-organizing the Learning Workshop with Yann Le Cun, with whom he has also created the International Conference on Representation Learning (ICLR). “Deep Sparse Rectifier Neural Networks”. Sa contribution en recherche est indéniable. Action Editor of the Journal of Machine Learning Research and of the Neural Computation journal, Canada Research Chair in Statistical Learning Algorithms ", Bahdanau, D., K. Cho, and Y. Bengio. He is a professor at the Department of Computer Science and Operations Research at the Université de Montréal and scientific director of the Montreal Institute for Learning Algorithms (MILA). Yoshua Bengio is best known for his groundbreaking work in artificial intelligence, particularly his work on artificial neural networks and deep learning. pioneer who won the 2018 A.M. Turing Award with two others, supports a proposed ban of robots that could use A.I. Quand Yoshua Bengio est arrivé au Québec, lui, il avait 12 ans, adorait la science-fiction, les robots. ACM A.M. Turing Award. Son objectif est de contribuer à mettre à jour les principes menant à l’intelligence à travers l’apprentissage, et aussi favoriser le développement de l’intelligence artificielle pour le bénéfice de tous. In: NIPS’2014, arXiv:1402.1869. Ed. Les étudiants et les stagiaires intéressés à être supervisé à Mila, l’Institut québécois d’intelligence artificielle, sont invités à suivre les instructions de demande de supervision sur le site de Mila. LeCun, Yann, Yoshua Bengio, and Geoffrey Hinton (2015). In: NIPS’2013, arXiv:1305.6663. LeCun, Y., Y. Bengio, and G. Hinton. Yoshua Bengio on intelligent machines-VPRO-The Mind of the Universe.ogv 1 h 30 min 58 s, 1,920 × 1,080; 2.02 GB Yoshua Bengio, October 27, 2016.jpg 316 × 384; 53 KB Play media Sort. Deep Learning. En 2018, on lui remet la médaille du 50e anniversaire du Ministère des Relations internationales et de la Francophonie du Québec ainsi que le Prix d’excellence pour l’ensemble des réalisations de l’association pour l’intelligence artificielle au Canada. Block user Report abuse. Yoshua Bengio. Yoshua Bengio travaille, par exemple, avec des industriels du domaine pharmaceutique pour identifier les molécules les plus prometteuses pour le développement de nouveaux médicaments. En 2018, Yoshua Bengio est l’informaticien qui recueille le plus grand nombre de nouvelles citations au monde, grâce à ses 3 ouvrages de référence et à ses quelque 500 publications. Cambridge, MA: MIT Press, 2016. MIT Press. “Gradient-based learning applied to document recognition,” Proceedings of the IEEE, vol. Bengio, Y., Delalleau, O., Le Roux, N. (2005) “The Curse of Highly Variable Functions for Local Kernel Machines”. 157– 166. 1–127. Yoshua Bengio: Yoshua Bengio: Date personale; Născut: 5 martie 1964 (56 de ani) Paris, Franța: Cetățenie: Canada: Ocupație: profesor[*] informatician cercetător al inteligenței artificiale[*] Bengio has shared his research in more than 200 published journals and reports and most recently began imparting his AI knowledge to entrepreneurs in the start-up factory he co-founded, Element AI . “A Neural Probabilistic Language Model”. 2278– 2324. 400–406. Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol (2008). Scientific Director at IVADO, a full professor in the Department of Computer Science and Operations Research (DIRO) at Université de Montréal, the director of the Montréal Institute for Learning Algorithms (MILA) and Canada Research Chair in Statistical Learning Algorithms, … Yoshua Bengio works in computer science, specifically artificial intelligence (machine learning). If the file has been modified from its original state, some details may not fully reflect the modified file. a b 7553 (2015): 436–44. En 2016 il devient directeur scientifique d’IVADO et coprésident du Conseil consultatif du Canada en matière d’intelligence artificielle en 2019. In: Nature 521.7553, pp. Ian J. Goodfellow (born 1985 or 1986) is a researcher working in machine learning, currently employed at Apple Inc. as its director of machine learning in the Special Projects Group. In: IEEE Transactions on Neural Networks 5.2, pp. Title. Ed. Yoshua Bengio is recognized as one of the world’s leading experts in artificial intelligence and a pioneer in deep learning. Articles Cited by Co-authors. Year; Bengio, Yoshua, Pascal Lamblin, Dan Popovici, and Hugo Larochelle (2007). Professor of computer science, University of Montreal, Mila, IVADO, CIFAR. Yoshua Bengio yoshua. [10]Referenser Noter. “Generalized Denoising Auto-Encoders as Generative Models”. Pronunciation of Yoshua Bengio with 1 audio pronunciation and more for Yoshua Bengio. Goodfellow, I.J., Y. Bengio, and A. Courville. LeCun, Yann, Leon Bottou, Yoshua Bengio, and Patrick Haffner (1998). His research objective is to understand the mathematical and computational principles that give rise to intelligence through learning. Thanks. His current interests include fundamental questions on deep learning, the geometry of generalization in high-dimensional spaces, biologically inspired learning algorithms, and challenging … Il a commencé ses études à Montréal où il obtient son doctorat en informatique de l’Université McGill, puis a effectué des études postdoctorales au Massachusetts Institute of Technology (MIT). Biography. Aidez-nous à améliorer nos pages Auteur en mettant à jour votre bibliographie et en envoyant une photo et une biographie nouvelles ou à jour. Leen, and K-R. Müller. Genealogy profile for Yoshua Bengio Yoshua Bengio (1899 - 1975) - Genealogy Genealogy for Yoshua Bengio (1899 - 1975) family tree on Geni, with over 200 million profiles of ancestors and living relatives. Sort by citations Sort by year Sort by title. julie.mongeau@mila.quebec, Vincent Martineau 153–160. Yoshua Bengio, född 1964 i Paris i Frankrike, är en kanadensisk datavetare, mest känd för sitt arbete med artificiellt neuronnät och djupinlärning. “Identifying and attacking the saddle point problem in high-dimensional non-convex optimization”. Yoshua Bengio works in computer science, specifically artificial intelligence (machine learning). Goodfellow, Ian J., Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio (2014). En 2019, il reçoit le Prix ACM A.M. Turing « le Nobel de l’informatique » conjointement avec Geoffrey Hinton et Yann LeCun pour leurs avancées en fondements conceptuels et en ingénierie qui ont fait des réseaux neuronaux profonds une composante essentielle de l’informatique. Goodfellow, Ian J., Yoshua Bengio, and Aaron Courville (2016). Describes the pathbreaking use of convolutional neural networks to handwriting by a Bell Labs group led by Bengio’s co-awardee Yann LeCun. In: Journal of Machine Learning Research 3, pp. [6] [7] [8] Bengio anses tillsammans med Geoffrey Hinton och Yann LeCun vara pionjär inom djupinlärning. MIT Press, pp. En 2000, Yoshua Bengio devient titulaire de la Chaire de recherche du Canada sur les algorithmes d’apprentissage statistique. CANADA. [9]Han vann tillsammans med Hinton och LeCun Turingpriset 2018. Verified email at umontreal.ca - Homepage. Turing Award recipient and McGill alumnus Yoshua Bengio, best known for his seminal work on artificial intelligence (AI), is the latest recipient of the Killam Prize, a $100,000 award given to outstanding scholars.Bengio is the founder of the Montreal Institute for Learning Algorithms (Mila), a world-renowned AI research institute.. Lauréat du prix Killam en sciences naturelles 2019. In: ICLR’2015, arXiv:1409.0473. “Learning a Synaptic Learning Rule”. LeCun, Y., L. Bottou, Y. Bengio, and P. Haffner. Pascanu, Razvan, Guido Montufar, and Yoshua Bengio (2014). 86, 1998, pp. Yoshua Bengio travaille en informatique, plus particulièrement en intelligence artificielle (apprentissage automatique). Yoshua Bengio, an A.I. “Learning deep architectures for AI”. En 2019 il reçoit le Prix Killam, le IEEE CIS Neural Networks Pioneer Award, ainsi que le Prix ACM A.M. Turing, « le Nobel de l’informatique », conjointement avec Geoffrey Hinton et Yann LeCun pour leurs avancées en fondements conceptuels et en ingénierie qui ont fait des réseaux neuronaux profonds une composante essentielle de l’informatique. Bengio, Yoshua, Jerome Louradour, Ronan Collobert, and Jason Weston (2009). Glorot, Xavier and Yoshua Bengio (2010). Montréal (QC) H2S 3H1 Follow. Professeur titulaire, Département d’informatique et de recherche opérationnelle, Université de Montréal.

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