Poster presented at MITACS Quebec Interchange, 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. Implantation et analyse d’un modèle graphique de Technical Reports [pdf] Google Brain & Mila. Journal of Machine Learning Research, 11(Dec): 3371--3408, 2010 Hugo Larochelle. Advances in Neural Information Processing Systems 19, 2007 Journal of Machine Learning Research, 10(Jan): 1--40, 2009 Yoshua Bengio and Hugo Larochelle, Soumis. [ps] After several years in the creative wilderness, the 35-year-old whiz kid returns to Quebec, where his AI career began. [pdf] Yoshua Bengio - Université of Montreal & MILA. 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. Chandre Dharma-wardana, Role of Interface Suboxide Si Atoms on the Electronic Properties of Si/SiO2 Superlattices , Applied Surface Science, Soumis “It’s a bit surreal,” he admitted with a grin. Université de Montréal, 2006 Artificial Intelligence and Statistics, 2011 Ruslan Salakhutdinov and Hugo Larochelle, Aaron Courville - Université de Montreal & Mila. International Conference on Machine Learning proceedings, 2007 Extracting and Composing Robust Features with Denoising Autoencoders Journal of machine learning research 11 (12), 2010. Pascal Vincent, Hugo Larochelle, Yoshua Bengio and Pierre-Antoine Manzagol, Alexander M Rush - Cornell University. Talk at the CIAR Summer School, Chandre Dharma-wardana, Laurent J. Lewis, Core-level spectroscopy of Si/SiO_2 quantum wells: evidence for confined states , Phys. An infinite restricted boltzmann machine. Montreal, Canada, 2008 AAAI Conference on Artificial Intelligence, 2008 Articles Cited by Co-authors. Département d’informatique, Université de Sherbrooke, Sherbrooke, Québec, Canada. Yoshua Bengio, Hugo Larochelle and Joseph Turian, Learning to combine foveal glimpses with a third-order Boltzmann machine [pdf] [supp] [faces video] Yoshua Bengio and Hugo Larochelle, MITACS Second Canada-France Congress, Classification of Sets using Restricted Boltzmann Machines [pdf] [supp] [arxiv] Université de Montréal, Montral, Qubec, Canada. Previously, he was an Associate Professor at the University of Sherbrooke. Hugo Larochelle University of Sherbrooke Yoshua Bengio University of Montreal Pierre Antoine Manzagol University of Montreal Authors: Pascal Vincent. Artificial Intelligence and Statistics, 2010 Classification of Sets using Restricted Boltzmann Machines [arxiv] Hugo Larochelle, Dumitru Erhan and Pascal Vincent, Pierre Carrier, Zheng-Hong Lu, M.W. “Google wants to partner with state-of-the-art research centres," he said. What do you like about UdeM? Professeur agrégé. Treasurer. Classification using Discriminative Restricted Boltzmann Machines [pdf] Notable Paper Award Poster presented at the Learning@Snowbird Workshop, Deep Woods Shakir Mohamad - Google. Hugo Larochelle, I am also co-advised by Hugo Larochelle from Twitter Cortex Lab. Classification using Discriminative Restricted Boltzmann Machines Hugo Larochelle. Rev. Non-Local Manifold Parzen Windows [pdf] Hugo has 10 jobs listed on their profile. [ps] Some Supervised Models in Disambiguation Exploring Strategies for Training Deep Neural Networks International Conference on Machine Learning proceedings, 2008 I currently lead the Google Brain group in Montreal. Previously, he was assistant professor at the computer science department of the Université de Sherbrooke. Hugo Larochelle is a Research Scientist at Google Brain and lead of the Montreal Google Brain team. désambiguïsation à entraînement supervisé, semi-supervisé B, Soumis Pierre Carrier, Zheng-Hong Lu, Laurent J. Lewis, M.W. Technical Report #1316, Département d'informatique et recherche opérationnelle, He is also a member of Yoshua Bengio’s Mila and an Adjunct Professor at the Université de Montréal. Recall Traces: Backtracking Models for Efficient Reinforcement Learning. Hugo Larochelle, Dumitru Erhan and Yoshua Bengio [ps] 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. ICLR 2019 (2019-05-06) iclr.cc PDF. Extracting and Composing Robust Features with Denoising Autoencoders Technical Report #1284, Département d'informatique et recherche opérationnelle, [pdf] [pdf] Q4. hugo.larochelle@umontreal.ca "The Google opportunity also appealed to his paternal instinct. 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. Hugo Larochelle and Yoshua Bengio, Having been the recipient of many scholarships and research grants, he now finds himself on the side of the investors. 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. Yoshua Bengio, Hugo Larochelle and Pascal Vincent, Efficient Learning of Deep Boltzmann Machines [pdf][code] He’s one of the world’s brightest stars in artificial-intelligence research. [ppt] 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. 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. So, what does the future hold for him now? “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. Didactiel sur les réseaux de neurones en traitement Learning Attentional Policies for Tracking and Recognition in Video with Deep Networks [pdf] [youtube] In 2011, upon completion of his postdoctoral studies, Larochelle accepted an assistant professor position at Université de Sherbrooke. What exactly is deep learning? “He was the best, but he never let it go to his head," Bengio recalled. “Google represents a new industrial culture. Talk in the RALI-OLST seminar series Title. 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. Detonation Classification from Acoustic Signature with the Restricted Boltzmann Machine [pdf] Greedy Layer-Wise Training of Deep Networks Thesis Faculté des arts et des sciences - Département d'informatique et de recherche opérationnelle. Université de Montréal, 2004. Hugo Larochelle and Iain Murray, Talk and poster presented at the Learning Workshop, [pdf] Yoshua Bengio, Pascal Lamblin, Dan Popovici and Hugo Larochelle, San Juan, Puerto Rico, 2007 Université de Montréal, 2005 Non-Local Manifold Parzen Windows [pdf] Pascal Vincent, Hugo Larochelle, Yoshua Bengio and Pierre-Antoine Manzagol, He is also a member of Yoshua Bengio's Mila and an Adjunct Professor at the Université de Montréal. Raia Hadsell - DeepMind. 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 Artificial Intelligence and Statistics, 2009 Hugo Larochelle, Yoshua Bengio, Pascal Lamblin, Dan Popovici and Hugo Larochelle, Simply put, it’s how computers simulate the type of calculations that human brains perform. Non-Local Manifold Parzen Windows Hugo Larochelle and Philippe Langlais, Yoshua Bengio, Hugo Larochelle and Pascal Vincent, Zero-data Learning of New Tasks [pdf] [pdf] Michael Mandel, Razvan Pascanu, Hugo Larochelle and Yoshua Bengio, Ans. Hugo Larochelle, Dumitru Erhan, Aaron Courville, James Bergstra and Yoshua Bengio, Volodymyr Mnih, Hugo Larochelle and Geoffrey Hinton, 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 Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio and Pierre-Antoine Manzagol, Université de Montréal, 2006 An Empirical Evaluation of Deep Architectures on Problems with Many Factors of Variation [pdf][html] 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. Advances in Neural Information Processing Systems 18, 2006 "I see myself as a facilitator in meeting that objective.". Greedy Layer-Wise Training of Deep Networks [pdf] [pdf] Université de Montréal PO Box 6128, Centre-ville Station Montréal, Québec, Canada H3C 3J7 Phone : 514 343-6111, #38492 E-mail : recherche@umontreal.ca Loris Bazzani, Nando de Freitas, Hugo Larochelle, Vittorio Murino and Jo-Anne Ting, Technical Report #1264, Département d'informatique et recherche opérationnelle, Hugo Larochelle and Yoshua Bengio, About. Others The multinational has launched a number of projects to diversify its operations, moving into artificial neural networks in 2012. Martha White - U. Alberta. arXiv, 2011 January 2017 The Journal of Machine Learning Research, Volume 18, Issue 1. article. Neural Computation, 22(9): 2285-2307, 2010 Deep learning is so innovative it's often been described as a technological revolution. 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. I am working at Montreal Institute for Learning Algorithms (MILA), UdeM. [site] Ph.D. thesis, Université de Montréal, 2009 After selling his share, Hugo Larochelle joined the Twitter team and worked at their headquarters for two years. Don’t be fooled by Hugo Larochelle’s youthful looks. “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. [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.". Jérôme Louradour and Hugo Larochelle, We dreamed of providing our four daughters a stable home environment where they could hear French being spoken.”. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion [pdf] Autotagging music with conditional restricted Boltzmann machines [arxiv] 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. Google IA director in Montreal Hugo Larochelle summarized in two words the reason for this support for Mila: Yoshua Bengio. Non-Local Estimation of Manifold Structure [pdf] arXiv, 2011 Simply put, they came up with a tool that provided access to advanced methods of artificial intelligence. Board Members. Previously, he was an Associate Professor at the University of Sherbrooke. Tara Sainath - Google AI ... P Vincent, H Larochelle, I Lajoie, Y Bengio, PA Manzagol, L Bottou. Yoshua Bengio, Nicolas Chapados, Olivier Delalleau, Hugo Larochelle, Xavier Saint-Mleux, Christian Hudon and Jérôme Louradour, and the Restricted Boltzmann Forest [pdf] Computational Intelligence, to appear, 2011 Non-Local Manifold Parzen Windows [pdf] Whetlab quickly became a serious player in emerging technology, attracting the attention of industry giants like Twitter, which bought the company in 2015. Distributed Representation Prediction for Generalization to New Words pour la détection de termes dans un document [ps] Machine Learning Artificial Intelligence. Tractable Multivariate Binary Density Estimation Étude de la pertinence de métriques statistiques Hugo Larochelle and Yoshua Bengio, Université de Montréal, Montral, Qubec, Canada. Ian Goodfellow, the research scientist who pioneered generative adversarial networks (GANs) got his PhD in machine learning at the Université de Montréal, rising AI star Hugo Larochelle … Uncertainty in Artificial Intelligence, 2011 International Conference on Machine Learning proceedings, 2008 Hugo Larochelle. Then Google asked to pick his brain. He aced all his undergraduate courses (with a 4.3 GPA) and showed exceptional maturity. Deep Learning using Robust Interdependent Codes [pdf] [pdf] Marie-Victorin office C-369 pierre-louis.bellec@umontreal.ca My main area of expertise is deep learning. Conference Papers Hugo Larochelle, Christian Jauvin and Yoshua Bengio, Advances in Neural Information Processing Systems 23, 2010 Since 2012, he has been cited 7,686 times in the Google Scholar index. 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. Something positive, he replied: the freedom to concentrate on the fertile ground of fundamental research and commercial applications. Yoshua Bengio, Martin Monperrus and Hugo Larochelle, et non-supervisé Pavillon André-Aisenstadt 2920, chemin de la Tour Montréal QC H3T 1J4 514 343-6602 E-mail Verified email at google.com - Homepage. 5443: 2010: Greedy layer-wise training of deep networks. Hugo Larochelle, Dumitru Erhan and Yoshua Bengio, [ps] 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. 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. See the complete profile on LinkedIn and discover Hugo’s connections and jobs at similar companies. Études de techniques d'appentissage non-supervisé pour l'amélioration de l'entraînement supervisé de modèles connexionnistes Imaginez un étudiant dont le dossier scolaire, du Bacc (obtenu en 2004) jusqu’à son doctorat (obtenu en … Hugo Larochelle and Yoshua Bengio, My previous work includes unsupervised pretraining with autoencoders, denoising autoencoders, visual attention-based classification, neural autoregressive distribution models. University of Toronto, 2005 Hugo LaRochelle - Google Brain. Professeur associé. Thanks to his many publications, Larochelle had no difficulty landing a promotion to associate professor at Sherbrooke in 2016. Université de Montréal, 2006 Conditional Restricted Boltzmann Machines for Structured Output Prediction [pdf] View Hugo Larochelle’s profile on LinkedIn, the world’s largest professional community. The Neural Autoregressive Distribution Estimator [pdf] [code] Hugo Larochelle is a Research Scientist for Google Brain’s Montreal team, Adjunct Professor at Université de Sherbrooke, Adjunct Professor at Université de Montréal… Bio: Hugo Larochelle is a Research Scientist at Google Brain and lead of the Montreal Google Brain team. Poster presented at the Learning@Snowbird Workshop, 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 et recherche opérationnelle, Hugo Larochelle, Yoshua Bengio, Jérôme Louradour and Pascal Lamblin, 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 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. These areas are can be thought of as levels (hence the “deep” part of learning) that need to be tapped to analyze information. IFT3051 project, Département d'informatique et recherche opérationnelle, [pdf] Generalization to a zero-data task: an empirical study [pdf] [ps] International Conference on Machine Learning proceedings, 2011 The  information we process travels through various areas of our brain, each with its own function and specialization. NSERC Internship report at RALI lab, Neural Computation, 18(10): 2509-2528, 2006 de la langue [pdf] Uncertainty in Artificial Intelligence, 2011 Hugo Larochelle, Ph.D. thesis, Université de Montréal, 2009. Hugo Larochelle, Yoshua Bengio and Joseph Turian, Jérôme Louradour and Hugo Larochelle, Larochelle had just returned to Montreal when Google announced a $4.9-million investment over three years to benefit eight local researchers. Snowbird, USA, 2008 "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. Anirudh Goyal Alias Parth Goyal, Riashat Islam, DJ Strouse, Zafarali Ahmed, Hugo Larochelle, Matthew Botvinick, Sergey Levine and Yoshua Bengio. Hugo Larochelle and Geoffrey Hinton, In 2011, upon completion of his postdoctoral studies, Larochelle accepted an assistant professor position at Université de Sherbrooke. Université de Montréal, été 2002. “My wife and I had been living all over the place for quite a few years. Technical Report #1282, Département d'informatique et recherche opérationnelle, A foodie and video game fan, Larochelle was already a star in UdeM's computer science department even before he started doing research. Third place at poster competition, Journal papers Hugo Larochelle is a research scientist in AI and the lead of the Google Brain team in Montreal. Université de Montréal, 2008 Faculté des arts et des sciences - Département de psychologie. [pdf] Snowbird, USA, 2005 Y Bengio, PA Manzagol, L Bottou 18, Issue 1. article H Larochelle, Ph.D. thesis Université... 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