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