hugo larochelle udem

Non-Local Manifold Parzen Windows Université de Montréal, 2008 [pdf] After selling his share, Hugo Larochelle joined the Twitter team and worked at their headquarters for two years. I am working at Montreal Institute for Learning Algorithms (MILA), UdeM. 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. Université de Montréal, 2006 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. Greedy Layer-Wise Training of Deep Networks [pdf] I am also co-advised by Hugo Larochelle from Twitter Cortex Lab. University of Toronto, 2005 Ruslan Salakhutdinov and Hugo Larochelle, [ps] Technical Report #1284, Département d'informatique et recherche opérationnelle, Others Marie-Victorin office C-369 [email protected] Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion [pdf] Non-Local Manifold Parzen Windows [pdf] Faculté des arts et des sciences - Département de psychologie. Generalization to a zero-data task: an empirical study [pdf] [ps] Yoshua Bengio, Hugo Larochelle and Pascal Vincent, Département d’informatique, Université de Sherbrooke, Sherbrooke, Québec, Canada. Notable Paper Award Hugo Larochelle University of Sherbrooke Yoshua Bengio University of Montreal Pierre Antoine Manzagol University of Montreal Authors: Pascal Vincent. Classification using Discriminative Restricted Boltzmann Machines Montréal, Canada, 2003. So, what does the future hold for him now? About. Deep learning is so innovative it's often been described as a technological revolution. Jérôme Louradour and Hugo Larochelle, Hugo Larochelle, Tractable Multivariate Binary Density Estimation "I see myself as a facilitator in meeting that objective.". Machine Learning Artificial Intelligence. Université de Montréal, Montral, Qubec, Canada. Verified email at google.com - Homepage. Deep Woods 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. [pdf] Advances in Neural Information Processing Systems 18, 2006 Professeur associé. [ps] Ph.D. thesis, Université de Montréal, 2009 Journal of Machine Learning Research, 10(Jan): 1--40, 2009 [pdf] Google Brain & Mila. Hugo Larochelle, Christian Jauvin and Yoshua Bengio, [email protected] Hugo Larochelle. 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. [ps] [pdf] 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. Université de Montréal, 2006 Tara Sainath - Google AI Talk in the RALI-OLST seminar series Hugo Larochelle. Hugo Larochelle, Dumitru Erhan and Pascal Vincent, B, Soumis Pierre Carrier, Zheng-Hong Lu, Laurent J. Lewis, M.W. “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. Jérôme Louradour and Hugo Larochelle, He is also a member of Yoshua Bengio's Mila and an Adjunct Professor at the Université de Montréal. Technical Report #1316, Département d'informatique et recherche opérationnelle, [ps] Whetlab quickly became a serious player in emerging technology, attracting the attention of industry giants like Twitter, which bought the company in 2015. Uncertainty in Artificial Intelligence, 2011 Uncertainty in Artificial Intelligence, 2011 ICLR 2019 (2019-05-06) iclr.cc PDF. Detonation Classification from Acoustic Signature with the Restricted Boltzmann Machine [pdf] 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. Études de techniques d'appentissage non-supervisé pour l'amélioration de l'entraînement supervisé de modèles connexionnistes et non-supervisé 5443: 2010: Greedy layer-wise training of deep networks. International Conference on Machine Learning proceedings, 2008 Classification of Sets using Restricted Boltzmann Machines [arxiv] These areas are can be thought of as levels (hence the “deep” part of learning) that need to be tapped to analyze information. See the complete profile on LinkedIn and discover Hugo’s connections and jobs at similar companies. Shakir Mohamad - Google. [pdf] 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. Soumis. Hugo has 10 jobs listed on their profile. “It’s a bit surreal,” he admitted with a grin. 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. Previously, he was an Associate Professor at the University of Sherbrooke. ... P Vincent, H Larochelle, I Lajoie, Y Bengio, PA Manzagol, L Bottou. Treasurer. 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. My main area of expertise is deep learning. Q4. Since 2012, he has been cited 7,686 times in the Google Scholar index. Yoshua Bengio, Hugo Larochelle and Pascal Vincent, He’s one of the world’s brightest stars in artificial-intelligence research. Artificial Intelligence and Statistics, 2010 Hugo Larochelle is a research scientist in AI and the lead of the Google Brain team in Montreal. 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. Don’t be fooled by Hugo Larochelle’s youthful looks. Yoshua Bengio, Nicolas Chapados, Olivier Delalleau, Hugo Larochelle, Xavier Saint-Mleux, Christian Hudon and Jérôme Louradour, Non-Local Manifold Parzen Windows [pdf] 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. Anirudh Goyal Alias Parth Goyal, Riashat Islam, DJ Strouse, Zafarali Ahmed, Hugo Larochelle, Matthew Botvinick, Sergey Levine and Yoshua Bengio. Hugo Larochelle is a Research Scientist at Google Brain and lead of the Montreal Google Brain team. Université de Montréal, 2005 After several years in the creative wilderness, the 35-year-old whiz kid returns to Quebec, where his AI career began. Yoshua Bengio, Pascal Lamblin, Dan Popovici and Hugo Larochelle, Université de Montréal PO Box 6128, Centre-ville Station Montréal, Québec, Canada H3C 3J7 Phone : 514 343-6111, #38492 E-mail : [email protected] Recall Traces: Backtracking Models for Efficient Reinforcement Learning. Previously, he was assistant professor at the computer science department of the Université de Sherbrooke. Martha White - U. Alberta. Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio and Pierre-Antoine Manzagol, We dreamed of providing our four daughters a stable home environment where they could hear French being spoken.”. Yoshua Bengio, Hugo Larochelle and Joseph Turian, Implantation et analyse dun modèle graphique de Loris Bazzani, Nando de Freitas, Hugo Larochelle, Vittorio Murino and Jo-Anne Ting, Pascal Vincent, Hugo Larochelle, Yoshua Bengio and Pierre-Antoine Manzagol, fbengioy,lamblinp,popovicd,[email protected] Abstract Complexity theory of circuits strongly suggeststhat deep architectures can be much more efcient (sometimes exponentially) than shallow architectures, in terms of MITACS Second Canada-France Congress, [pdf] Hugo LaRochelle - Google Brain. Pavillon André-Aisenstadt 2920, chemin de la Tour Montréal QC H3T 1J4 514 343-6602 E-mail Technical Report #1282, Département d'informatique et recherche opérationnelle, pour la détection de termes dans un document Simply put, they came up with a tool that provided access to advanced methods of artificial intelligence. Computational Intelligence, to appear, 2011 View Hugo Larochelle’s profile on LinkedIn, the world’s largest professional community. Extracting and Composing Robust Features with Denoising Autoencoders Alexander M Rush - Cornell University. “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. Larochelle had just returned to Montreal when Google announced a $4.9-million investment over three years to benefit eight local researchers. Yoshua Bengio - Université of Montreal & MILA. Conditional Restricted Boltzmann Machines for Structured Output Prediction [pdf] Journal of machine learning research 11 (12), 2010. [pdf] 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 Volodymyr Mnih, Hugo Larochelle and Geoffrey Hinton, International Conference on Machine Learning proceedings, 2007 [pdf] Advances in Neural Information Processing Systems 19, 2007 Hugo Larochelle, Dumitru Erhan, Aaron Courville, James Bergstra and Yoshua Bengio, Learning Attentional Policies for Tracking and Recognition in Video with Deep Networks [pdf] [youtube] [pdf] Pascal Vincent, Hugo Larochelle, Yoshua Bengio and Pierre-Antoine Manzagol, Articles Cited by Co-authors. Chandre Dharma-wardana, Role of Interface Suboxide Si Atoms on the Electronic Properties of Si/SiO2 Superlattices , Applied Surface Science, Soumis Pierre Carrier, Zheng-Hong Lu, M.W. I currently lead the Google Brain group in Montreal. In 2011, upon completion of his postdoctoral studies, Larochelle accepted an assistant professor position at Université de Sherbrooke. Yoshua Bengio and Hugo Larochelle, Hugo Larochelle and Yoshua Bengio, Poster presented at the Learning@Snowbird Workshop, 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. “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.". Talk at the CIAR Summer School, Having been the recipient of many scholarships and research grants, he now finds himself on the side of the investors. Département d'informatique et recherche opérationnelle, Université de Montréal, 2006 [ps] Étude de la pertinence de métriques statistiques Non-Local Estimation of Manifold Structure arXiv, 2011 Distributed Representation Prediction for Generalization to New Words arXiv, 2011 Montreal, Canada, 2008 International Conference on Machine Learning proceedings, 2008 Classification of Sets using Restricted Boltzmann Machines [pdf] [supp] [arxiv] The information we process travels through various areas of our brain, each with its own function and specialization. Hugo Larochelle, Yoshua Bengio, Jérôme Louradour and Pascal Lamblin, He is also a member of Yoshua Bengio’s Mila and an Adjunct Professor at the Université de Montréal. International Conference on Machine Learning proceedings, 2011 [site] Michael Mandel, Razvan Pascanu, Hugo Larochelle and Yoshua Bengio, Université de Montréal, Montral, Qubec, Canada. Conference Papers Classification using Discriminative Restricted Boltzmann Machines [pdf] Journal papers Learning to combine foveal glimpses with a third-order Boltzmann machine [pdf] [supp] [faces video] The Neural Autoregressive Distribution Estimator [pdf] [code] Université de Montréal, été 2002. Yoshua Bengio, Pascal Lamblin, Dan Popovici and Hugo Larochelle, 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. What do you like about UdeM? Hugo Larochelle, Ph.D. thesis, Université de Montréal, 2009. In 2011, upon completion of his postdoctoral studies, Larochelle accepted an assistant professor position at Université de Sherbrooke. Hugo Larochelle, San Juan, Puerto Rico, 2007 Université de Montréal, 2004. Neural Computation, 22(9): 2285-2307, 2010 Hugo Larochelle, Dumitru Erhan and Yoshua Bengio, Zero-data Learning of New Tasks [pdf] Thanks to his many publications, Larochelle had no difficulty landing a promotion to associate professor at Sherbrooke in 2016. “Google represents a new industrial culture. Something positive, he replied: the freedom to concentrate on the fertile ground of fundamental research and commercial applications. Bio: Hugo Larochelle is a Research Scientist at Google Brain and lead of the Montreal Google Brain team. [pdf] Journal of Machine Learning Research, 11(Dec): 3371--3408, 2010 Hugo Larochelle and Yoshua Bengio, An infinite restricted boltzmann machine. Raia Hadsell - DeepMind. Third place at poster competition, Professeur agrégé. He aced all his undergraduate courses (with a 4.3 GPA) and showed exceptional maturity. Faculté des arts et des sciences - Département d'informatique et de recherche opérationnelle. [pdf] [pdf] Aaron Courville - Université de Montreal & Mila. Hugo Larochelle, Yoshua Bengio and Joseph Turian, AAAI Conference on Artificial Intelligence, 2008 Poster presented at the Learning@Snowbird Workshop, Hugo Larochelle and Philippe Langlais, Snowbird, USA, 2008 What exactly is deep learning? Hugo Larochelle. Snowbird, USA, 2005 “My wife and I had been living all over the place for quite a few years. Poster presented at MITACS Quebec Interchange, NSERC Internship report at RALI lab, 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. Previously, he was an Associate Professor at the University of Sherbrooke. Hugo Larochelle and Yoshua Bengio, désambiguïsation à entraînement supervisé, semi-supervisé Chandre Dharma-wardana, Laurent J. Lewis, Core-level spectroscopy of Si/SiO_2 quantum wells: evidence for confined states , Phys. “Google wants to partner with state-of-the-art research centres," he said. Hugo Larochelle and Iain Murray, IFT3051 project, Département d'informatique et recherche opérationnelle, Technical Report #1264, Département d'informatique et recherche opérationnelle, Artificial Intelligence and Statistics, 2011 Autotagging music with conditional restricted Boltzmann machines [arxiv] Imaginez un étudiant dont le dossier scolaire, du Bacc (obtenu en 2004) jusqu’à son doctorat (obtenu en … Yoshua Bengio, Martin Monperrus and Hugo Larochelle, Exploring Strategies for Training Deep Neural Networks Simply put, it’s how computers simulate the type of calculations that human brains perform. My previous work includes unsupervised pretraining with autoencoders, denoising autoencoders, visual attention-based classification, neural autoregressive distribution models. “He was the best, but he never let it go to his head," Bengio recalled. An Empirical Evaluation of Deep Architectures on Problems with Many Factors of Variation [pdf][html] Non-Local Manifold Parzen Windows Didactiel sur les réseaux de neurones en traitement "The Google opportunity also appealed to his paternal instinct. Efficient Learning of Deep Boltzmann Machines [pdf][code] Deep Learning using Robust Interdependent Codes [pdf] A foodie and video game fan, Larochelle was already a star in UdeM's computer science department even before he started doing research. January 2017 The Journal of Machine Learning Research, Volume 18, Issue 1. article. [ppt] 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. Hugo Larochelle, Dumitru Erhan and Yoshua Bengio and the Restricted Boltzmann Forest [pdf] de la langue [pdf] Hugo Larochelle and Geoffrey Hinton, Then Google asked to pick his brain. Talk and poster presented at the Learning Workshop, [pdf] Title. Thesis Hugo Larochelle and Yoshua Bengio, Google IA director in Montreal Hugo Larochelle summarized in two words the reason for this support for Mila: Yoshua Bengio. Hugo Larochelle is a Research Scientist for Google Brain’s Montreal team, Adjunct Professor at Université de Sherbrooke, Adjunct Professor at Université de Montréal… Ans. 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 Board Members. Greedy Layer-Wise Training of Deep Networks Some Supervised Models in Disambiguation Neural Computation, 18(10): 2509-2528, 2006 The multinational has launched a number of projects to diversify its operations, moving into artificial neural networks in 2012. Advances in Neural Information Processing Systems 23, 2010 Rev. 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. Artificial Intelligence and Statistics, 2009 "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. 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