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