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