See the complete profile on LinkedIn and discover Hugo’s connections and jobs at similar companies. Imaginez un étudiant dont le dossier scolaire, du Bacc (obtenu en 2004) jusqu’à son doctorat (obtenu en … Université de Montréal, Montral, Qubec, Canada. After several years in the creative wilderness, the 35-year-old whiz kid returns to Quebec, where his AI career began. Pascal Vincent, Hugo Larochelle, Yoshua Bengio and Pierre-Antoine Manzagol, [ppt] Hugo Larochelle, Ph.D. thesis, Université de Montréal, 2009. Technical Report #1282, Département d'informatique et recherche opérationnelle, Hugo Larochelle University of Sherbrooke Yoshua Bengio University of Montreal Pierre Antoine Manzagol University of Montreal Authors: Pascal Vincent. Then Google asked to pick his brain. Pavillon André-Aisenstadt 2920, chemin de la Tour Montréal QC H3T 1J4 514 343-6602 E-mail Hugo Larochelle. [pdf] An infinite restricted boltzmann machine. Technical Reports Hugo has 10 jobs listed on their profile. [pdf] Aaron Courville - Université de Montreal & Mila. Université de Montréal, été 2002. Yoshua Bengio, Hugo Larochelle and Joseph Turian, Hugo Larochelle and Yoshua Bengio, Uncertainty in Artificial Intelligence, 2011 Implantation et analyse d’un modèle graphique de Google, which began in 1988 as a concept hatched in a California garage and is a top global brand, is much more than a search engine. Learning to combine foveal glimpses with a third-order Boltzmann machine [pdf] [supp] [faces video] Classification of Sets using Restricted Boltzmann Machines [pdf] [supp] [arxiv] Hugo LaRochelle - Google Brain. The  information we process travels through various areas of our brain, each with its own function and specialization. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion [pdf] Machine Learning Artificial Intelligence. Since 2012, he has been cited 7,686 times in the Google Scholar index. [ps] Artificial Intelligence and Statistics, 2010 Google Brain & Mila. Université de Montréal PO Box 6128, Centre-ville Station Montréal, Québec, Canada H3C 3J7 Phone : 514 343-6111, #38492 E-mail : recherche@umontreal.ca International Conference on Machine Learning proceedings, 2008 Ph.D. thesis, Université de Montréal, 2009 Learning Neural Causal Models from Unknown Interventions Nan Rosemary Ke * 1;2, Olexa Bilaniuk , Anirudh Goyal , Stefan Bauer5, Hugo Larochelle4, Bernhard Schölkopf5, Michael C. Mozer4, Chris Pal1 ;2 3, Yoshua Bengio1y 1 Mila, Université de Montréal, 2 Mila, Polytechnique Montréal, 3 Element AI 4 Google AI, 5 Max Planck Institute for Intelligent Systems, yCIFAR Senior Fellow. An Empirical Evaluation of Deep Architectures on Problems with Many Factors of Variation [pdf][html] [pdf] Tara Sainath - Google AI My main area of expertise is deep learning. Hugo Larochelle. [ps] Notable Paper Award Deep Learning using Robust Interdependent Codes [pdf] Yoshua Bengio and Hugo Larochelle, Hugo Larochelle Ioannis Mitliagkas Irina Rish Joelle Pineau Marc G. Bellemare Nicolas Le Roux Pascal Vincent Sarath Chandar Siamak Ravanbakhsh Simon Lacoste-Julien William L. Hamilton Yoshua Bengio UdeM UdeM Polytechnique / UdeM Google Brain / UdeM UdeM UdeM Talk in the RALI-OLST seminar series Hugo Larochelle and Yoshua Bengio, [ps] Larochelle, 35, recently bought a house in Mont-Saint-Hilaire, an hour's drive east of Montreal, finally settling down after many years wandering the world of technology. These areas are can be thought of as levels (hence the “deep” part of learning) that need to be tapped to analyze information. Hugo Larochelle, Yoshua Bengio and Joseph Turian, Previously, he was assistant professor at the computer science department of the Université de Sherbrooke. Professeur agrégé. Yoshua Bengio - Université of Montreal & MILA. Hugo Larochelle is a Research Scientist for Google Brain’s Montreal team, Adjunct Professor at Université de Sherbrooke, Adjunct Professor at Université de Montréal… “I knew I wanted to raise my family and develop research projects here in Quebec, so I’m thrilled with Google’s proposal,” he said, referring to his hiring as the California tech giant's man in Montreal for its innovative Google Brain project. Poster presented at the Learning@Snowbird Workshop, [pdf] Conditional Restricted Boltzmann Machines for Structured Output Prediction [pdf] Deep learning is so innovative it's often been described as a technological revolution. ICLR 2019 (2019-05-06) iclr.cc PDF. “He was the best, but he never let it go to his head," Bengio recalled. Michael Mandel, Razvan Pascanu, Hugo Larochelle and Yoshua Bengio, [pdf] He is also a member of Yoshua Bengio's Mila and an Adjunct Professor at the Université de Montréal. A foodie and video game fan, Larochelle was already a star in UdeM's computer science department even before he started doing research. “My wife and I had been living all over the place for quite a few years. Jérôme Louradour and Hugo Larochelle, "He became a hotshot in deep-learning research, which is the spearhead of today’s tangible progress in artificial intelligence.” He’s also a team player who loves to share knowledge, Bengio added. Chandre Dharma-wardana, Laurent J. Lewis, Core-level spectroscopy of Si/SiO_2 quantum wells: evidence for confined states , Phys. Artificial Intelligence and Statistics, 2009 Having been the recipient of many scholarships and research grants, he now finds himself on the side of the investors. Université de Montréal, Montral, Qubec, Canada. Yoshua Bengio, Hugo Larochelle and Pascal Vincent, Poster presented at MITACS Quebec Interchange, [ps] Learning Attentional Policies for Tracking and Recognition in Video with Deep Networks [pdf] [youtube] Exploring Strategies for Training Deep Neural Networks Extracting and Composing Robust Features with Denoising Autoencoders Bio: Hugo Larochelle is a Research Scientist at Google Brain and lead of the Montreal Google Brain team. And Larochelle – a mathematics whiz kid from Asbestos, Quebec,  who had managed to become part of the global elite in his field in less than a decade – was the ideal candidate. Département d’informatique, Université de Sherbrooke, Sherbrooke, Québec, Canada. "I see myself as a facilitator in meeting that objective.". Journal papers San Juan, Puerto Rico, 2007 He continues to work for the university and still supervises some graduate students, but now devotes part of his energy to his new challenge, heading up the Google Brain group in Montreal. arXiv, 2011 Yoshua Bengio, Martin Monperrus and Hugo Larochelle, Journal of Machine Learning Research, 11(Dec): 3371--3408, 2010 IFT3051 project, Département d'informatique et recherche opérationnelle, Verified email at google.com - Homepage. Shakir Mohamad - Google. Département d'informatique et recherche opérationnelle, What exactly is deep learning? Raia Hadsell - DeepMind. Greedy Layer-Wise Training of Deep Networks International Conference on Machine Learning proceedings, 2008 Yoshua Bengio, Pascal Lamblin, Dan Popovici and Hugo Larochelle, The Google Brain division, whose goal is to advance understanding of this cutting-edge sector and promote technology transfer, needed a leader in Montreal, a city known as the 'Silicon Valley of the North' in deep learning. Advances in Neural Information Processing Systems 23, 2010 Board Members. Non-Local Manifold Parzen Windows [pdf] NSERC Internship report at RALI lab, University of Toronto, 2005 Something positive, he replied: the freedom to concentrate on the fertile ground of fundamental research and commercial applications. [pdf] fbengioy,lamblinp,popovicd,larochehg@iro.umontreal.ca Abstract Complexity theory of circuits strongly suggeststhat deep architectures can be much more efcient (sometimes exponentially) than shallow architectures, in terms of Talk at the CIAR Summer School, [pdf] Larochelle earned three degrees at UdeM (a Bachelor of Mathematics, a Master’s and a Doctorate in Computer Science) before moving on to do postdoc work at the University of Toronto. Professeur associé. Journal of Machine Learning Research, 10(Jan): 1--40, 2009 All over the world, great advances in the field of AI are the direct result of the Universite de Montreal professor and Mila director, said Larochelle. Journal of machine learning research 11 (12), 2010. Third place at poster competition, Hugo Larochelle, Yoshua Bengio, Jérôme Louradour and Pascal Lamblin, Hugo Larochelle, Dumitru Erhan and Yoshua Bengio Non-Local Estimation of Manifold Structure International Conference on Machine Learning proceedings, 2011 Zero-data Learning of New Tasks [pdf] January 2017 The Journal of Machine Learning Research, Volume 18, Issue 1. article. Université de Montréal, 2006 Snowbird, USA, 2005 Non-Local Manifold Parzen Windows We dreamed of providing our four daughters a stable home environment where they could hear French being spoken.”. Faculté des arts et des sciences - Département d'informatique et de recherche opérationnelle. Montréal, Canada, 2003. The artificial intelligence-research division is a good example of that.”, is the responsibility of the Office of Communications and Public Relations (BCRP), 3744, rue Jean-Brillant, bureau 490Montréal (Québec) H3T 1P1, Denis Coderre: My life as an undergrad at UdeM in the '80s, Global consultation on the ethics of AI begins in Montreal. I am working at Montreal Institute for Learning Algorithms (MILA), UdeM. Technical Report #1264, Département d'informatique et recherche opérationnelle, [ps] Q4. Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio and Pierre-Antoine Manzagol, Non-Local Manifold Parzen Windows [pdf] CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): We introduce the problem of zero-data learning, where a model must generalize to classes or tasks for which no training data are available and only a description of the classes or tasks are provided. After selling his share, Hugo Larochelle joined the Twitter team and worked at their headquarters for two years. Poster presented at the Learning@Snowbird Workshop, Advances in Neural Information Processing Systems 18, 2006 Anirudh Goyal Alias Parth Goyal, Riashat Islam, DJ Strouse, Zafarali Ahmed, Hugo Larochelle, Matthew Botvinick, Sergey Levine and Yoshua Bengio. désambiguïsation à entraînement supervisé, semi-supervisé Yoshua Bengio and Hugo Larochelle, 5443: 2010: Greedy layer-wise training of deep networks. I am also co-advised by Hugo Larochelle from Twitter Cortex Lab. So, what does the future hold for him now? About. Distributed Representation Prediction for Generalization to New Words He also co-founded Whetlab, which was acquired in 2015 by Twitter, where he then worked as a research scientist in the Twitter Cortex group. Title. AAAI Conference on Artificial Intelligence, 2008 Whetlab quickly became a serious player in emerging technology, attracting the attention of industry giants like Twitter, which bought the company in 2015. Previously, he was an Associate Professor at the University of Sherbrooke. Soumis. Yoshua Bengio, Pascal Lamblin, Dan Popovici and Hugo Larochelle, Technical Report #1284, Département d'informatique et recherche opérationnelle, Loris Bazzani, Nando de Freitas, Hugo Larochelle, Vittorio Murino and Jo-Anne Ting, He is also a member of Yoshua Bengio’s Mila and an Adjunct Professor at the Université de Montréal. “Google wants to partner with state-of-the-art research centres," he said. Hugo Larochelle, Dumitru Erhan, Aaron Courville, James Bergstra and Yoshua Bengio, Conference Papers Hugo Larochelle and Philippe Langlais, Some Supervised Models in Disambiguation In 2011, upon completion of his postdoctoral studies, Larochelle accepted an assistant professor position at Université de Sherbrooke. [pdf] de la langue [pdf] [pdf] Snowbird, USA, 2008 Marie-Victorin office C-369 pierre-louis.bellec@umontreal.ca Alexander M Rush - Cornell University. Hugo Larochelle and Geoffrey Hinton, Montreal, Canada, 2008 Université de Montréal, 2004. “He was involved in the very first article on deep learning that we wrote in 2006, which sparked interest in this growing field,” recalled professor Yoshua Bengio, a leader in the field and Larochelle’s thesis advisor at Université de Montréal’s Department of Computer Science and Operations Research. Université de Montréal, 2008 Efficient Learning of Deep Boltzmann Machines [pdf][code] hugo.larochelle@umontreal.ca MILA is one of the pioneers in the field of Deep Learning and I am fortunate to have Yoshua Bengio, who is one of the leaders in the field of AI, as my guide. Étude de la pertinence de métriques statistiques International Conference on Machine Learning proceedings, 2007 Université de Montréal, 2006 Articles Cited by Co-authors. ... P Vincent, H Larochelle, I Lajoie, Y Bengio, PA Manzagol, L Bottou. Detonation Classification from Acoustic Signature with the Restricted Boltzmann Machine [pdf] Yoshua Bengio, Nicolas Chapados, Olivier Delalleau, Hugo Larochelle, Xavier Saint-Mleux, Christian Hudon and Jérôme Louradour, “It’s a bit surreal,” he admitted with a grin. Larochelle earned three degrees at UdeM (a Bachelor of Mathematics, a Master’s and a Doctorate in Computer Science) before moving on to do postdoc work at the University of Toronto. Didactiel sur les réseaux de neurones en traitement Rev. Non-Local Manifold Parzen Windows Simply put, it’s how computers simulate the type of calculations that human brains perform. Hugo Larochelle, Christian Jauvin and Yoshua Bengio, B, Soumis Pierre Carrier, Zheng-Hong Lu, Laurent J. Lewis, M.W. Neural Computation, 18(10): 2509-2528, 2006 Greedy Layer-Wise Training of Deep Networks [pdf] Tractable Multivariate Binary Density Estimation Journal papers Detonation Classification from Acoustic Signature with the Restricted Boltzmann Machine Yoshua Bengio, Nicolas Chapados, Olivier Delalleau, Hugo Larochelle, Xavier Saint-Mleux, Christian Hudon and Jérôme Louradour, Computational Intelligence, to appear, 2011 Volodymyr Mnih, Hugo Larochelle and Geoffrey Hinton, Classification of Sets using Restricted Boltzmann Machines [arxiv] [pdf] Hugo Larochelle, He said he was “surprised by his own life” and did not expect to be so successful when he started his Ph.D in Artificial Neural Networks in the fall of 2004. Larochelle had just returned to Montreal when Google announced a $4.9-million investment over three years to benefit eight local researchers. What do you like about UdeM? Hugo Larochelle, Dumitru Erhan and Yoshua Bengio, "The Google opportunity also appealed to his paternal instinct. Classification using Discriminative Restricted Boltzmann Machines [pdf] Hugo Larochelle, Uncertainty in Artificial Intelligence, 2011 Technical Report #1316, Département d'informatique et recherche opérationnelle, Computational Intelligence, to appear, 2011 In addition to his academic pursuits, at the start of his career Larochelle joined forces with a colleague to create Whetlab, a start-up that developed software to accelerate data-processing operations. Generalization to a zero-data task: an empirical study [pdf] [ps] He’s one of the world’s brightest stars in artificial-intelligence research. Pierre Carrier, Zheng-Hong Lu, M.W. Thanks to his many publications, Larochelle had no difficulty landing a promotion to associate professor at Sherbrooke in 2016. Yoshua Bengio, Hugo Larochelle and Pascal Vincent, Previously, he was an Associate Professor at the University of Sherbrooke. Classification using Discriminative Restricted Boltzmann Machines Simply put, they came up with a tool that provided access to advanced methods of artificial intelligence. Études de techniques d'appentissage non-supervisé pour l'amélioration de l'entraînement supervisé de modèles connexionnistes “Google already had a development group in Montreal for the Chrome browser,” Bengio said, “but Hugo’s mission is to add a world-class deep-learning research team, and I have no doubt that he will be successful.". The Neural Autoregressive Distribution Estimator [pdf] [code] MITACS Second Canada-France Congress, [site] Others Talk and poster presented at the Learning Workshop, Pascal Vincent, Hugo Larochelle, Yoshua Bengio and Pierre-Antoine Manzagol, Par Johanne Gilbert Hugo Larochelle a été fait diplômé d'honneur du département lors de la collation des grades de la Faculté des arts et des sciences qui a eu lieu le 30 août 2019. In 2011, upon completion of his postdoctoral studies, Larochelle accepted an assistant professor position at Université de Sherbrooke. Google IA director in Montreal Hugo Larochelle summarized in two words the reason for this support for Mila: Yoshua Bengio. My previous work includes unsupervised pretraining with autoencoders, denoising autoencoders, visual attention-based classification, neural autoregressive distribution models. and the Restricted Boltzmann Forest [pdf] Advances in Neural Information Processing Systems 19, 2007 I currently lead the Google Brain group in Montreal. Université de Montréal, 2005 [pdf] Artificial Intelligence and Statistics, 2011 Hugo Larochelle and Yoshua Bengio, [pdf] Recall Traces: Backtracking Models for Efficient Reinforcement Learning. Hugo Larochelle, Dumitru Erhan and Pascal Vincent, Hugo Larochelle and Iain Murray, Hugo Larochelle is a Research Scientist at Google Brain and lead of the Montreal Google Brain team. Hugo Larochelle is a research scientist in AI and the lead of the Google Brain team in Montreal. Neural Computation, 22(9): 2285-2307, 2010 Treasurer. Deep Woods et non-supervisé Ruslan Salakhutdinov and Hugo Larochelle, Hugo Larochelle. Jérôme Louradour and Hugo Larochelle, Chandre Dharma-wardana, Role of Interface Suboxide Si Atoms on the Electronic Properties of Si/SiO2 Superlattices , Applied Surface Science, Soumis Hugo Larochelle and Yoshua Bengio, Thesis “Google represents a new industrial culture. Ans. Faculté des arts et des sciences - Département de psychologie. The multinational has launched a number of projects to diversify its operations, moving into artificial neural networks in 2012. Extracting and Composing Robust Features with Denoising Autoencoders Autotagging music with conditional restricted Boltzmann machines [arxiv] Don’t be fooled by Hugo Larochelle’s youthful looks. Martha White - U. Alberta. pour la détection de termes dans un document View Hugo Larochelle’s profile on LinkedIn, the world’s largest professional community. He aced all his undergraduate courses (with a 4.3 GPA) and showed exceptional maturity. 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