Hugo Larochelle, Christian Jauvin and Yoshua Bengio, 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 in the RALI-OLST seminar series Extracting and Composing Robust Features with Denoising Autoencoders We dreamed of providing our four daughters a stable home environment where they could hear French being spoken.”. Technical Report #1284, Département d'informatique et recherche opérationnelle, Machine Learning Artificial Intelligence. [ps] Simply put, they came up with a tool that provided access to advanced methods of artificial intelligence. I currently lead the Google Brain group in Montreal. Poster presented at MITACS Quebec Interchange, [ps] Yoshua Bengio, Hugo Larochelle and Pascal Vincent, January 2017 The Journal of Machine Learning Research, Volume 18, Issue 1. article. In 2011, upon completion of his postdoctoral studies, Larochelle accepted an assistant professor position at Université de Sherbrooke. Snowbird, USA, 2008 Université de Montréal, été 2002. “He was the best, but he never let it go to his head," Bengio recalled. Yoshua Bengio, Hugo Larochelle and Pascal Vincent, hugo.larochelle@umontreal.ca Hugo has 10 jobs listed on their profile. Professeur agrégé. Advances in Neural Information Processing Systems 19, 2007 Tractable Multivariate Binary Density Estimation 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. Pascal Vincent, Hugo Larochelle, Yoshua Bengio and Pierre-Antoine Manzagol, 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. [pdf] Hugo Larochelle and Yoshua Bengio, Deep Learning using Robust Interdependent Codes [pdf] “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.". Yoshua Bengio, Hugo Larochelle and Joseph Turian, Yoshua Bengio, Pascal Lamblin, Dan Popovici and Hugo Larochelle, Université de Montréal, 2008 My previous work includes unsupervised pretraining with autoencoders, denoising autoencoders, visual attention-based classification, neural autoregressive distribution models. Uncertainty in Artificial Intelligence, 2011 Greedy Layer-Wise Training of Deep Networks After selling his share, Hugo Larochelle joined the Twitter team and worked at their headquarters for two years. 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. Technical Reports NSERC Internship report at RALI lab, Hugo Larochelle, Dumitru Erhan and Pascal Vincent, Neural Computation, 18(10): 2509-2528, 2006 Talk and poster presented at the Learning Workshop, Autotagging music with conditional restricted Boltzmann machines [arxiv] Hugo Larochelle, Dumitru Erhan and Yoshua Bengio Conference Papers Board Members. 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. Learning to combine foveal glimpses with a third-order Boltzmann machine [pdf] [supp] [faces video] Journal of machine learning research 11 (12), 2010. Hugo Larochelle. Artificial Intelligence and Statistics, 2010 Rev. désambiguïsation à entraînement supervisé, semi-supervisé B, Soumis Pierre Carrier, Zheng-Hong Lu, Laurent J. Lewis, M.W. Aaron Courville - Université de Montreal & Mila. pour la détection de termes dans un document Hugo Larochelle and Yoshua Bengio, Articles Cited by Co-authors. Poster presented at the Learning@Snowbird Workshop, He is also a member of Yoshua Bengio's Mila and an Adjunct Professor at the Université de Montréal. [pdf] Previously, he was an Associate Professor at the University of Sherbrooke. Tara Sainath - Google AI Université de Montréal PO Box 6128, Centre-ville Station Montréal, Québec, Canada H3C 3J7 Phone : 514 343-6111, #38492 E-mail : recherche@umontreal.ca Yoshua Bengio, Pascal Lamblin, Dan Popovici and Hugo Larochelle, "The Google opportunity also appealed to his paternal instinct. Faculté des arts et des sciences - Département de psychologie. Some Supervised Models in Disambiguation 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. An infinite restricted boltzmann machine. Département d’informatique, Université de Sherbrooke, Sherbrooke, Québec, Canada. Jérôme Louradour and Hugo Larochelle, Implantation et analyse d’un modèle graphique de 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. Greedy Layer-Wise Training of Deep Networks [pdf] Title. MITACS Second Canada-France Congress, [site] Hugo LaRochelle - Google Brain. Hugo Larochelle, Dumitru Erhan, Aaron Courville, James Bergstra and Yoshua Bengio, Anirudh Goyal Alias Parth Goyal, Riashat Islam, DJ Strouse, Zafarali Ahmed, Hugo Larochelle, Matthew Botvinick, Sergey Levine and Yoshua Bengio. Université de Montréal, 2005 Soumis. Computational Intelligence, to appear, 2011 International Conference on Machine Learning proceedings, 2007 Efficient Learning of Deep Boltzmann Machines [pdf][code] Detonation Classification from Acoustic Signature with the Restricted Boltzmann Machine [pdf] A foodie and video game fan, Larochelle was already a star in UdeM's computer science department even before he started doing research. Faculté des arts et des sciences - Département d'informatique et de recherche opérationnelle. [pdf] Université de Montréal, 2004. Raia Hadsell - DeepMind. “It’s a bit surreal,” he admitted with a grin. Treasurer. Then Google asked to pick his brain. Yoshua Bengio - Université of Montreal & MILA. and the Restricted Boltzmann Forest [pdf] de la langue [pdf] Bio: Hugo Larochelle is a Research Scientist at Google Brain and lead of the Montreal Google Brain team. Zero-data Learning of New Tasks [pdf] Hugo Larochelle and Yoshua Bengio, 5443: 2010: Greedy layer-wise training of deep networks. [pdf] Hugo Larochelle. Imaginez un étudiant dont le dossier scolaire, du Bacc (obtenu en 2004) jusqu’à son doctorat (obtenu en … Google IA director in Montreal Hugo Larochelle summarized in two words the reason for this support for Mila: Yoshua Bengio. [pdf] “Google wants to partner with state-of-the-art research centres," he said. 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. Having been the recipient of many scholarships and research grants, he now finds himself on the side of the investors. ICLR 2019 (2019-05-06) iclr.cc PDF. Hugo Larochelle, 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. [pdf] 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. Distributed Representation Prediction for Generalization to New Words Snowbird, USA, 2005 Didactiel sur les réseaux de neurones en traitement Technical Report #1316, Département d'informatique et recherche opérationnelle, Hugo Larochelle and Geoffrey Hinton, Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion [pdf] Advances in Neural Information Processing Systems 18, 2006 Hugo Larochelle, Ph.D. thesis, Université de Montréal, 2009. Third place at poster competition, 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. “My wife and I had been living all over the place for quite a few years. Étude de la pertinence de métriques statistiques He’s one of the world’s brightest stars in artificial-intelligence research. Hugo Larochelle and Yoshua Bengio, Université de Montréal, Montral, Qubec, Canada. Université de Montréal, Montral, Qubec, Canada. Pierre Carrier, Zheng-Hong Lu, M.W. The  information we process travels through various areas of our brain, each with its own function and specialization. Journal of Machine Learning Research, 10(Jan): 1--40, 2009 Loris Bazzani, Nando de Freitas, Hugo Larochelle, Vittorio Murino and Jo-Anne Ting, View Hugo Larochelle’s profile on LinkedIn, the world’s largest professional community. Deep Woods Classification using Discriminative Restricted Boltzmann Machines [pdf] Technical Report #1264, Département d'informatique et recherche opérationnelle, AAAI Conference on Artificial Intelligence, 2008 Thanks to his many publications, Larochelle had no difficulty landing a promotion to associate professor at Sherbrooke in 2016. Extracting and Composing Robust Features with Denoising Autoencoders [ppt] Volodymyr Mnih, Hugo Larochelle and Geoffrey Hinton, Previously, he was assistant professor at the computer science department of the Université de Sherbrooke. Yoshua Bengio, Nicolas Chapados, Olivier Delalleau, Hugo Larochelle, Xavier Saint-Mleux, Christian Hudon and Jérôme Louradour, Yoshua Bengio and Hugo Larochelle, San Juan, Puerto Rico, 2007 Chandre Dharma-wardana, Laurent J. Lewis, Core-level spectroscopy of Si/SiO_2 quantum wells: evidence for confined states , Phys. In 2011, upon completion of his postdoctoral studies, Larochelle accepted an assistant professor position at Université de Sherbrooke. “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. 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. [pdf] Ph.D. thesis, Université de Montréal, 2009 ... P Vincent, H Larochelle, I Lajoie, Y Bengio, PA Manzagol, L Bottou. See the complete profile on LinkedIn and discover Hugo’s connections and jobs at similar companies. Journal papers “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. I am working at Montreal Institute for Learning Algorithms (MILA), UdeM. Classification using Discriminative Restricted Boltzmann Machines Département d'informatique et recherche opérationnelle, International Conference on Machine Learning proceedings, 2008 Université de Montréal, 2006 Whetlab quickly became a serious player in emerging technology, attracting the attention of industry giants like Twitter, which bought the company in 2015. Professeur associé. "I see myself as a facilitator in meeting that objective.". IFT3051 project, Département d'informatique et recherche opérationnelle, Thesis International Conference on Machine Learning proceedings, 2011 Classification of Sets using Restricted Boltzmann Machines [pdf] [supp] [arxiv] The Neural Autoregressive Distribution Estimator [pdf] [code] Marie-Victorin office C-369 pierre-louis.bellec@umontreal.ca [ps] Hugo Larochelle is a Research Scientist at Google Brain and lead of the Montreal Google Brain team. Yoshua Bengio and Hugo Larochelle, Université de Montréal, 2006 Q4. So, what does the future hold for him now? Uncertainty in Artificial Intelligence, 2011 Notable Paper Award Simply put, it’s how computers simulate the type of calculations that human brains perform. Non-Local Manifold Parzen Windows Don’t be fooled by Hugo Larochelle’s youthful looks. Since 2012, he has been cited 7,686 times in the Google Scholar index. International Conference on Machine Learning proceedings, 2008 Non-Local Manifold Parzen Windows 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 am also co-advised by Hugo Larochelle from Twitter Cortex Lab. Recall Traces: Backtracking Models for Efficient Reinforcement Learning. Conditional Restricted Boltzmann Machines for Structured Output Prediction [pdf] What exactly is deep learning? arXiv, 2011 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. Generalization to a zero-data task: an empirical study [pdf] [ps] What do you like about UdeM? Hugo Larochelle and Iain Murray, Hugo Larochelle is a research scientist in AI and the lead of the Google Brain team in Montreal. He aced all his undergraduate courses (with a 4.3 GPA) and showed exceptional maturity. Talk at the CIAR Summer School, Advances in Neural Information Processing Systems 23, 2010 arXiv, 2011 Ans. Artificial Intelligence and Statistics, 2011 et non-supervisé Hugo Larochelle. 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. Non-Local Manifold Parzen Windows [pdf] Non-Local Estimation of Manifold Structure Something positive, he replied: the freedom to concentrate on the fertile ground of fundamental research and commercial applications. [pdf] Previously, he was an Associate Professor at the University of Sherbrooke. He is also a member of Yoshua Bengio’s Mila and an Adjunct Professor at the Université de Montréal. Hugo Larochelle, These areas are can be thought of as levels (hence the “deep” part of learning) that need to be tapped to analyze information. Classification of Sets using Restricted Boltzmann Machines [arxiv] Larochelle had just returned to Montreal when Google announced a $4.9-million investment over three years to benefit eight local researchers. An Empirical Evaluation of Deep Architectures on Problems with Many Factors of Variation [pdf][html] Google Brain & Mila. 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 Others Hugo Larochelle University of Sherbrooke Yoshua Bengio University of Montreal Pierre Antoine Manzagol University of Montreal Authors: Pascal Vincent. Ruslan Salakhutdinov and Hugo Larochelle, Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio and Pierre-Antoine Manzagol, 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 Exploring Strategies for Training Deep Neural Networks [ps] 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. Poster presented at the Learning@Snowbird Workshop, 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. Neural Computation, 22(9): 2285-2307, 2010 After several years in the creative wilderness, the 35-year-old whiz kid returns to Quebec, where his AI career began. Hugo Larochelle, Dumitru Erhan and Yoshua Bengio, Pascal Vincent, Hugo Larochelle, Yoshua Bengio and Pierre-Antoine Manzagol, [pdf] Michael Mandel, Razvan Pascanu, Hugo Larochelle and Yoshua Bengio, Études de techniques d'appentissage non-supervisé pour l'amélioration de l'entraînement supervisé de modèles connexionnistes Technical Report #1282, Département d'informatique et recherche opérationnelle, [ps] [pdf] Shakir Mohamad - Google. [pdf] Université de Montréal, 2006 Non-Local Manifold Parzen Windows [pdf] Jérôme Louradour and Hugo Larochelle, Recherche opérationnelle bit surreal, ” he admitted with a 4.3 GPA ) and showed exceptional maturity Tour Montréal H3T! Selling his share, Hugo Larochelle is a research Scientist at Google Brain and lead of the Montreal Brain! 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