He’s one of the world’s brightest stars in artificial-intelligence research. ); MILA; CIFAR, Professor, Polytechnique Montréal & Mila, Element AI, Canada CIFAR AI Chair, professeur d'informatique, Université Laval, Université Laval, Associate member at MILA, School of Informatics, University of Edinburgh, Professor of Computer Science, University of Toronto. Hugo Larochelle is Research Scientist at Google and Assistant Professor at the Université de Sherbrooke (UdeS). Previously, he was an Associate Professor at the University of Sherbrooke. Workshop Co-chairs. The following articles are merged in Scholar. ‪Google Brain & Mila‬ - ‪Cited by 38,261‬ - ‪Machine Learning‬ - ‪Artificial Intelligence‬ ... Hugo … Hugo Larochelle is a Research Scientist at Google Brain and lead of the Montreal Google Brain team. Find local businesses, view maps and get driving directions in Google Maps. M Havaei, A Davy, D Warde-Farley, A Biard, A Courville, Y Bengio, C Pal, ... ABL Larsen, SK Sønderby, H Larochelle, O Winther, International conference on machine learning, 1558-1566, H Larochelle, Y Bengio, J Louradour, P Lamblin, Journal of machine learning research 10 (1), H Larochelle, D Erhan, A Courville, J Bergstra, Y Bengio, Proceedings of the 24th international conference on Machine learning, 473-480, Proceedings of the 25th international conference on Machine learning, 536-543, L Yao, A Torabi, K Cho, N Ballas, C Pal, H Larochelle, A Courville, Proceedings of the IEEE international conference on computer vision, 4507-4515. Google Brain is a deep learning artificial intelligence research team at Google. December 2017 NIPS'17: Proceedings of the 31st International Conference on Neural Information Processing Systems. Hugo Larochelle is a Research Scientist at Google Brain and lead of the Montreal Google Brain team. He is also a member of Yoshua Bengio's Mila and an Adjunct Professor at the Université de Montréal. He is also a member of Yoshua Bengio's Mila and an Adjunct Professor at the Université de Montréal. DeepMind, Aaron Courville. I currently lead the Google Brain group in Montreal. Previously, he was an Associate Professor at the University of Sherbrooke. Res. Marzyeh Ghassemi, University of Toronto. More broadly, I’m interested in applications of deep learning to generative modeling, reinforcement learning, meta-learning, natural language processing and computer vision. Previously, he was an Associate Professor at the University of Sherbrooke. The Journal of Machine Learning Research 17 (1), 2096-2030. Hugo Larochelle is a Research Scientist at Google Brain and lead of the Montreal Google Brain team. Hugo Larochelle is a Research Scientist at Google Brain and lead of the Montreal Google Brain team. Program Chair. Marc'Aurelio Ranzato, Facebook AI Research. LAURENT MAISONNAVE Fizz. A Neural Autoregressive Topic Model by Hugo Larochelle and Stanislas Lauly. An empirical evaluation of deep architectures on problems with many factors of variation, Classification using discriminative restricted boltzmann machines, Describing videos by exploiting temporal structure, Deep learning with coherent nanophotonic circuits, Efficient learning of deep boltzmann machines, The Neural Autoregressive Distribution Estimator, Made: Masked autoencoder for distribution estimation, Meta-learning for semi-supervised few-shot classification, Learning to combine foveal glimpses with a third-order Boltzmann machine, An autoencoder approach to learning bilingual word representations. In comments about the incident involving Gebru today, Larochelle commended her for being a … & Op. The system can't perform the operation now. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion. ///countCtrl.countPageResults("of")/// publications. I am the lead of the Google Brain team in Montreal, adjunct professor at Université de Montréal and a Canada CIFAR Chair. A talk on META - LEARNING A Roadmap for Few-Shot Transfer Learning by Dr. Hugo Larochelle, the lead of the Montreal Google Brain team. MARIE JOSEE LAMOTHE ... Marc-Antoine Ross, Marie-Ève Bernard, Gregory Whiteside, Diana Rebmann, Nectarios Economakis, Hugo Larochelle, Laurent Maisonnave, Adélaïde Andriot & Gabriel Sundaram . ///::filterCtrl.getOptionName(optionKey)///, ///::filterCtrl.getOptionCount(filterType, optionKey)///, ///paginationCtrl.getCurrentPage() - 1///, ///paginationCtrl.getCurrentPage() + 1///, ///::searchCtrl.pages.indexOf(page) + 1///. Try different keywords or filters. Movie Description. M Ren, E Triantafillou, S Ravi, J Snell, K Swersky, JB Tenenbaum, ... S Chandar AP, S Lauly, H Larochelle, M Khapra, B Ravindran, VC Raykar, ... Advances in neural information processing systems 27, 1853-1861, AAAI Conference on Artificial Intelligence 1 (2), 2.2, New articles related to this author's research, Professor of computer science, University of Montreal, Mila, IVADO, CIFAR, Facebook AI Research; U. Montreal (Professor, Computer Sc. Try again later. He is also a member of Yoshua Bengio's Mila and an Adjunct Professor at the Université de Montréal. Y Shen, NC Harris, S Skirlo, M Prabhu, T Baehr-Jones, M Hochberg, ... International Conference on Artificial Intelligence and Statistics, M Germain, K Gregor, I Murray, H Larochelle, International Conference on Machine Learning, 881-889. Raia Hadsell, DeepMind Maria Florina Balcan, Carnegie Mellon University Hsuan-Tien Lin, National Taiwan University. Anna Rohrbach. Since 2012, he has been cited 7,686 times in the Google … Program Co-chairs. The ones marked, P Vincent, H Larochelle, I Lajoie, Y Bengio, PA Manzagol, L Bottou, Journal of machine learning research 11 (12), Y Bengio, P Lamblin, D Popovici, H Larochelle, U Montreal, Advances in neural information processing systems 19, 153, P Vincent, H Larochelle, Y Bengio, PA Manzagol, Proceedings of the 25th international conference on Machine learning, 1096-1103, Advances in neural information processing systems 25, 2951-2959. Hugo has 10 jobs listed on their profile. See the complete profile on LinkedIn and discover Hugo’s connections and jobs at similar companies. Previously, he was an Associate Professor at the University of Sherbrooke. Their, This "Cited by" count includes citations to the following articles in Scholar. Workshop Chair. article. ... Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol and Hugo Larochelle. University of Montreal. Before, he was working with Twitter and he also spent two years in the machine learning group at the University of Toronto, as a postdoctoral fellow … Hugo Larochelle is a Research Scientist for Google Brain’s Montreal team, Adjunct Professor at Université de Sherbrooke, Adjunct Professor … Biography and booking information for Hugo Larochelle, Research Scientist at Google. Exploring strategies for training deep neural networks. Hugo Larochelle is a Research Scientist at Google Brain and lead of the Montreal Google Brain team. My previous work includes unsupervised pretraining with autoencoders, denoising autoencoders, visual attention-based classification, neural autoregressive distribution models. As a Platinum Sponsor of NeurIPS 2020, Google will have a strong presence with more than 180 accepted papers, additionally contributing to and learning from the broader academic research community via talks, ... General Chair: Hugo Larochelle Workshop Co-Chair: Sanmi Koyejo Contact All American Speakers Bureau to inquire about speaking fees and availability, and book the best keynote speaker for your next live or virtual event. Hugo Larochelle. No results found. I currently lead the Google Brain group in Montreal. View Hugo Larochelle’s profile on LinkedIn, the world’s largest professional community. Formed in the early 2010s, ... Samy Bengio, Greg Corrado, George Dahl, Michael Isard, Anjuli Kannan, Hugo Larochelle, Chris Olah, Vincent Vanhoucke, Vijay Vasudevan and Fernanda Viegas. Larochelle said Google Brain has also proposed a benchmark called “Meta-Dataset” and presented the following guidelines for determining what a … Other papers on word tagging with neural networks: Natural Language Processing (Almost) from Scratch by Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu and Pavel Kuksa ICLR 2020 (2020-04-30) research.google [Also on arXiv preprint arXiv:1903.03096 (2019-03-07)] Language GANs Falling Short. MARC-ANTOINE ROSS dfuse. Greedy layer-wise training of deep networks, Extracting and composing robust features with denoising autoencoders, Practical bayesian optimization of machine learning algorithms, Domain-adversarial training of neural networks, Brain tumor segmentation with deep neural networks, Optimization as a model for few-shot learning, Autoencoding beyond pixels using a learned similarity metric. NeurIPS general chair Hugo Larochelle leads the Google Brain team in Montreal. Google Brain, Olivier Pietquin. In collaboration with Hugo Larochelle from Google Brain, TechAide will be hosting a 2nd edition of its 1-day research conference on artificial intelligence on April 26th. After several years in the creative wilderness, the 35-year-old whiz kid returns to Quebec, where his AI career began. Max Planck Institute for Informatics, Saarbrücken, Germany, Google IA director in Montreal Hugo Larochelle summarized in two words the reason for this support for Mila: Yoshua Bengio. The event will bring together world-renowned researchers in the field. My main area of expertise is deep learning. He is also a member of Yoshua Bengio's Mila and an Adjunct Professor at the Université de Montréal. HUGO LAROCHELLE Google Brain. My main area of expertise is deep learning. He is also a member of Yoshua Bengio's Mila and an Adjunct Professor at the Université de Montréal. We maintain a portfolio of research projects, providing individuals and teams the freedom to emphasize specific types of work. 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