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