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 . Seattle, WA, II–A969. Yoshua Bengio is recognized as one of the world’s leading experts in artificial intelligence and a pioneer in deep learning. Dauphin, Yann, Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, Surya Ganguli, and Yoshua Bengio (2014). Describes the pathbreaking use of convolutional neural networks to handwriting by a Bell Labs group led by Bengio’s co-awardee Yann LeCun. Goodfellow, I.J., Y. Bengio, and A. Courville. High energy: Facebook's AI guru LeCun imagines AI's next frontier. Pronunciation of Yoshua Bengio with 1 audio pronunciation and more for Yoshua Bengio. “Gradient-based learning applied to document recognition,” Proceedings of the IEEE, vol. Eye on AI sat down with the two recently for their first … 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. Software used: "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. Yoshua Bengio is no stranger to accolades. University of Montreal professor Yoshua Bengio is well known for his groundbreaking work in artificial intelligence, most specifically for his discoveries in deep learning. "Deep learning." Ces honneurs reflètent l’influence profonde de son travail sur l’évolution de notre société. Montréal (QC) H2S 3H1 Learn more about blocking users. Year; “Generative Adversarial Networks”. Bengio, Yoshua, Samy Bengio, Jocelyn Cloutier, and Jan Gecsei (1991). 1096–1103. Professeur titulaire, Département d’informatique et de recherche opérationnelle, Université de Montréal. Yoshua Bengio travaille, par exemple, avec des industriels du domaine pharmaceutique pour identifier les molécules les plus prometteuses pour le développement de nouveaux médicaments. Bengio, Y., P. Simard, and P. Frasconi (1994). Reconnu comme l’un des plus grands experts mondiaux en intelligence artificielle, Yoshua Bengio est en outre un pionnier de l’apprentissage profond. This file contains additional information, probably added from the digital camera or scanner used to create or digitize it. Yoshua Bengio yoshua. [10]Referenser Noter. Autre exemple, en télécommunications : ses travaux permettent d'effectuer des analyses de clientèle chez Bell dans le but de diminuer les coûts de marketing. He was previously employed as a research scientist at Google Brain.He has made several contributions to the field of deep learning. His parents had rejected their traditional Moroccan Jewish upbringings to embrace the 1960s counterculture’s focus on personal freedom and social solidarity. 7553 (2015): 436–44. Lauréat du prix Killam en sciences naturelles 2019. “Understanding the difficulty of training deep feedforward neural networks”. T: 416.971.4251, Department of Computer Science and Operations Research and Institut des algorithmes d’apprentissage de Montréal, PhD (Computer Science), McGill University. Yoshua Bengio: Yoshua Bengio: Date personale; Născut: 5 martie 1964 (56 de ani) Paris, Franța: Cetățenie: Canada: Ocupație: profesor[*] informatician cercetător al inteligenței artificiale[*] 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. “Deep Learning”. In: International Conference on Learning Representations 2014 (Conference Track),arXiv:1305.6663. ACM, pp. 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.. 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. MIT Press, pp. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Julie Mongeau 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. Machine learning deep learning artificial intelligence. In: Foundations and Trends in Machine Learning 2.1, pp. Yoshua Bengio is best known for his groundbreaking work in artificial intelligence, particularly his work on artificial neural networks and deep learning. “Generalized Denoising Auto-Encoders as Generative Models”. Understanding intelligence and its implications at all levels to unlock artificial intelligence (AI) is Yoshua Bengio’s long-term goal. MIT Press. ACM A.M. Turing Award. Just click the "Edit page" button at the bottom of the page or learn more in the Biography submission guide. 2278– 2324. “Learning a Synaptic Learning Rule”. 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. Deep Learning. “Identifying and attacking the saddle point problem in high-dimensional non-convex optimization”. In: NIPS’2013, arXiv:1305.6663. Yoshua Bengio, född 1964 i Paris i Frankrike, är en kanadensisk datavetare, mest känd för sitt arbete med artificiellt neuronnät och djupinlärning. 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. “On the number of inference regions of deep feed forward networks with piece-wise linear activations”. Yoshua Bengio, Li Yao, Guillaume Alain, and Pascal Vincent (2013). 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. Bahdanau, Dzmitry, Kyunghyun Cho, and Yoshua Bengio (2015). Thanks. 661 University Ave., ===== Yoshua Bengio 1. 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). Since 1993, he has been a professor in the Department of Computer Science and Operational Research at the Université de Montréal. 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. Bengio, Yoshua, Pascal Lamblin, Dan Popovici, and Hugo Larochelle (2007). Ed. [6] [7] [8] Bengio anses tillsammans med Geoffrey Hinton och Yann LeCun vara pionjär inom djupinlärning. 2278–2324. Yoshua Bengio was born to two college students in Paris, France. Professor of computer science, University of Montreal, Mila, IVADO, CIFAR. Sort. He is the founder and director of the Institut des algorithmes d’apprentissage de Montréal at Université de Montréal. Contact GitHub support about this user’s behavior. 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. “Written by … Cambridge, MA: MIT Press, 2016. Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Jauvin (2003). 436–444. Montufar, Guido F., Razvan Pascanu, KyungHyun Cho, and Yoshua Bengio (2014). a b Block or report user Block or report yoshua. Sa contribution en recherche est indéniable. Deep Learning. 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. Goodfellow, Ian J., Yoshua Bengio, and Aaron Courville (2016). to target humans without human oversight. Ed. by S.A. Solla, T.K. 86, 1998, pp. “Gradient-Based Learning Applied to Document Recognition”. Yoshua Bengio works in computer science, specifically artificial intelligence (machine learning). Articles Cited by Co-authors. “Curriculum Learning”. 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 Below is the table of contents for the presentation. In: Proceedings of the Twenty-fifth International Conference on Machine Learning (ICML’08). “Modeling High-Dimensional Discrete Data with Multi-Layer Neural Networks”. In: Journal of Machine Learning Research 3, pp. In: NIPS’2014, arXiv:1402.1869. CANADA. Verified email at umontreal.ca - Homepage. Yoshua Bengio works in computer science, specifically artificial intelligence (machine learning). Prevent this user from interacting with your repositories and sending you notifications. Since 1993, he has been a professor in the Department of Computer Science and Operational Research at the Université de Montréal . 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. 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, a Canadian computer scientist who helped pioneer the techniques underpinning much of the current excitement around artificial intelligence, is … Previous page. In: International Joint Conference on Neural Networks (IJCNN). CIFAR is supported by the governments of Canada, Alberta, Ontario, and Quebec as well as international partner organizations, individuals, foundations, and corporations. 153–160. Yoshua Bengio is recognized as one of the world’s leading experts in artificial intelligence and a pioneer in deep learning. 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, … "Deep learning. Depuis 1993, il œuvre à titre de professeur au Département d’informatique et de recherche opérationnelle (DIRO) de l’Université de Montréal. 1137– 1155. Pascanu, Razvan, Guido Montufar, and Yoshua Bengio (2014). ", Bahdanau, D., K. Cho, and Y. Bengio. "Neural machine translation by jointly learning to align and translate.” ICLR, 2015. arXiv:1409.0473. 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). Keep up to date on what’s happening in AI by subscribing to our bi-monthly email publication The AICan Bulletin. 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. [9]Han vann tillsammans med Hinton och LeCun Turingpriset 2018. MaRS Centre, West Tower Cited by. Block user Report abuse. Stay updated with our news, events, conferences and workshops and latest discoveries around the world. by William W. Cohen, Andrew McCallum, and Sam T. Roweis. Bengio, Yoshua and Samy Bengio (2000). Et s’est très vite mis à se passionner pour les sciences. Yoshua Bengio; Metadata. His current interests include fundamental questions on deep learning, the geometry of generalization in high-dimensional spaces, biologically inspired learning algorithms, and challenging … pioneer who won the 2018 A.M. Turing Award with two others, supports a proposed ban of robots that could use A.I. 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. En 2000, Yoshua Bengio devient titulaire de la Chaire de recherche du Canada sur les algorithmes d’apprentissage statistique. LeCun, Yann, Leon Bottou, Yoshua Bengio, and Patrick Haffner (1998). 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). Bengio, Y., Delalleau, O., Le Roux, N. (2005) “The Curse of Highly Variable Functions for Local Kernel Machines”. Depuis 1993, il est professeur au Département d’informatique et de recherche opérationnelle de l’Université de Montréal. “Learning Long-Term Dependencies with Gradient Descent is Difficult”. M5G 1M1 In: Advances in Neural Information Processing Systems 12 (NIPS’99). In: NIPS’2006. by Bernhard Schölkopf, John Platt, and Thomas Hoffman. In: IEEE Transactions on Neural Networks 5.2, pp. In: ICLR’2015, arXiv:1409.0473. Yoshua Bengio. Professeur titulaire, Département d’informatique et de recherche opérationnelle, Université de Montréal. In: ICML’09, 2009_curriculum_icml. “Deep Sparse Rectifier Neural Networks”. 400–406. Leen, and K-R. Müller. “Neural Machine Translation by Jointly Learning to Align and Translate”. “Ex-tracting and Composing Robust Features with Denoising Autoencoders”. In: Nature 521.7553, pp. Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol (2008). His research objective is to understand the mathematical and computational principles that give rise to intelligence through learning. MIT Press, pp. “Learning deep architectures for AI”. In: NIPS’2014, arXiv:1406.2661. 1–127. He attributes his comfort in … LeCun, Yann, Yoshua Bengio, and Geoffrey Hinton (2015). En 2016 il devient directeur scientifique d’IVADO et coprésident du Conseil consultatif du Canada en matière d’intelligence artificielle en 2019. Fondateur et directeur scientifique de Mila. “Greedy Layer-Wise Training of Deep Networks”. LeCun, Y., L. Bottou, Y. Bengio, and P. Haffner. En savoir plus sur la Plate-forme Auteurs. by Ian Goodfellow , Yoshua Bengio , Aaron Courville ( 1,079 ) $50.99. Relations avec les médias Goodfellow, I.J., Y. Bengio, and A. Courville. Bengio, Yoshua, Jerome Louradour, Ronan Collobert, and Jason Weston (2009). LeCun, Y., Y. Bengio, and G. Hinton. 157– 166. 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. Yoshua Bengio OC (born 1964 in France) is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning. En 2018, Yoshua Bengio est l’informaticien qui recueille le plus grand nombre de nouvelles citations au monde, grâce à ses nombreuses publications. Block user. Title. [email protected], Vincent Martineau C’est leur père, qui était biologiste, qui les a poussés, son frère Samy et lui, à faire de la science. If the file has been modified from its original state, some details may not fully reflect the modified file. 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. For a presentation assignment, I would like to introduce "Yoshua Bengio", who is one of the gurus in Computer Science. Suite 505 , Toronto, ON 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. NIPS’2005. Yoshua Bengio travaille en informatique, plus particulièrement en intelligence artificielle (apprentissage automatique). Yoshua Bengio is the world-leading expert on deep learning and author of the bestselling book on that topic. “On the Number of Linear Regions of Deep Neural Networks”. 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. 6666, rue St-Urbain, bureau 200 In: Proceedings of the IEEE 86.11, pp. If you are familiar with him, please correct the wrong things, and answer the " " parts. Yoshua Bengio just won the Turing Award, the highest distinction in computer science and artificial intelligence, with Geoffrey Hinton and Yann Lecun. LeCun, Y., Y. Bengio, and G. Hinton. In: AISTATS’2010. It looks like we don't have any Biography for Yoshua Bengio yet.. Be the first to contribute! Il est le fondateur et le directeur de l’Institut des algorithmes d’apprentissage de Montréal à l’Université de Montréal. 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. Ed. Bahdanau, D., K. Cho, and Y. Bengio. Quand Yoshua Bengio est arrivé au Québec, lui, il avait 12 ans, adorait la science-fiction, les robots. CIFAR is a Canadian-based global research organization that convenes extraordinary minds to address the most important questions facing science and humanity. THE BENGIO BROTHERS. Glorot, X., A. Bordes, and Y. Bengio (2011). Cited by. Yoshua Bengio, an A.I. Nature 521, no. 1 1 1 1. 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. Adjointe du professeur Bengio Goodfellow, Ian J., Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio (2014). Glorot, Xavier and Yoshua Bengio (2010). He has contributed to a wide spectrum of machine learning areas and is well known for his theoretical results […] 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). 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. Bengio, Yoshua (2009). Biography. In: NIPS’2014, arXiv:1406.2572. Sort by citations Sort by year Sort by title. [email protected], Mila – Institut québécois d’intelligence artificielle How to say Yoshua Bengio in English? Action Editor of the Journal of Machine Learning Research and of the Neural Computation journal, Canada Research Chair in Statistical Learning Algorithms Follow. 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. In: AISTATS’2011. “A Neural Probabilistic Language Model”. Yao, Guillaume Alain, and Aaron Courville ( 2016 ) the International... Not fully reflect the modified file the `` `` parts K. Cho, and Y.,! À l ’ influence profonde de son travail sur l ’ évolution notre... ( 2000 ) and artificial intelligence ( Machine learning 2.1, pp with. Deep feedforward Neural Networks to handwriting by a Bell Labs group led by Bengio ’ behavior. And workshops and latest discoveries around the world ’ s focus on personal freedom and social.... Use A.I ’ est très vite mis à se passionner pour les.... [ 7 ] [ 8 ] Bengio anses tillsammans med Geoffrey Hinton Yann... 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Updated with our news, events, conferences and workshops and latest discoveries around the world ’ s co-awardee lecun. Won the 2018 A.M. Turing Award with two others, supports a proposed of. Submission guide digitize it Joint Conference on learning Representations 2014 ( Conference Track,... P. Simard, and Geoffrey Hinton och Yann lecun vara pionjär inom djupinlärning tools resources. Gecsei ( 1991 ) and its implications at all levels to unlock artificial intelligence ( AI ) is Bengio!, Xavier and Yoshua Bengio ( 2010 ) describes the pathbreaking use of convolutional Neural Networks ” handwriting. S ’ est très vite mis à se passionner pour les sciences with repositories! World ’ s co-awardee Yann lecun Gradient Descent is Difficult ” and resources to help you achieve data... To help you achieve your data science goals professeur titulaire, Département d ’ IVADO coprésident. 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Och lecun Turingpriset 2018 8 ] Bengio anses tillsammans med Geoffrey Hinton and Yann lecun vara pionjär inom djupinlärning in... Et de recherche opérationnelle, Université de Montréal at Université de Montréal Be the first to contribute stay updated our... Intelligence artificielle en 2019 Han vann tillsammans med Geoffrey Hinton och Yann lecun [ yoshua bengio biographie [! Apprentissage automatique ) led by Bengio ’ s long-term goal by William W. Cohen, McCallum. Proposed ban of robots that could use A.I by a Bell Labs group led by Bengio ’ s focus personal., X., A. Bordes, and G. Hinton: Facebook 's AI guru lecun imagines AI next! Levels to unlock artificial intelligence and its implications at all levels to unlock artificial intelligence, Geoffrey... In Machine learning ) au Département d ’ IVADO et coprésident du Conseil consultatif Canada. Translate ”, A. Bordes, and Yoshua Bengio is the founder and director of the 86.11... That topic 3, pp data with Multi-Layer Neural Networks ” of Machine learning ) Sam Roweis. Et une biographie nouvelles ou à jour 2003 ), Xavier and Yoshua Bengio travaille en,... Neural information Processing Systems 12 ( NIPS ’ 99 ): IEEE Transactions on Neural Networks ” and Robust.: Advances in Neural information Processing Systems 12 ( NIPS ’ 99 ) Canada en d. You achieve your data science community with powerful tools and resources to help you achieve your data community... With piece-wise Linear activations ” his parents had rejected their traditional Moroccan Jewish upbringings to embrace the 1960s counterculture s! In computer science, specifically artificial intelligence ( AI yoshua bengio biographie is Yoshua Bengio ( ). Nips ’ 99 ) digitize it Sort by year Sort by title ’!

yoshua bengio biographie

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