O
Olivier Delalleau
Researcher at Université de Montréal
Publications - 35
Citations - 6236
Olivier Delalleau is an academic researcher from Université de Montréal. The author has contributed to research in topics: Curse of dimensionality & Deep learning. The author has an hindex of 20, co-authored 34 publications receiving 5901 citations. Previous affiliations of Olivier Delalleau include Facebook & Centre de Recherches Mathématiques.
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Theano: A Python framework for fast computation of mathematical expressions
Rami Al-Rfou,Guillaume Alain,Amjad Almahairi,Christof Angermueller,Dzmitry Bahdanau,Nicolas Ballas,Frédéric Bastien,Justin Bayer,Anatoly Belikov,Alexander Belopolsky,Yoshua Bengio,Arnaud Bergeron,James Bergstra,Valentin Bisson,Josh Bleecher Snyder,Nicolas Bouchard,Nicolas Boulanger-Lewandowski,Xavier Bouthillier,Alexandre de Brébisson,Olivier Breuleux,Pierre Luc Carrier,Kyunghyun Cho,Jan Chorowski,Paul F. Christiano,Tim Cooijmans,Marc-Alexandre Côté,Myriam Côté,Aaron Courville,Yann N. Dauphin,Olivier Delalleau,Julien Demouth,Guillaume Desjardins,Sander Dieleman,Laurent Dinh,Mélanie Ducoffe,Vincent Dumoulin,Samira Ebrahimi Kahou,Dumitru Erhan,Ziye Fan,Orhan Firat,Mathieu Germain,Xavier Glorot,Ian Goodfellow,Matthew M. Graham,Caglar Gulcehre,Philippe Hamel,Iban Harlouchet,Jean-Philippe Heng,Balázs Hidasi,Sina Honari,Arjun Jain,Sébastien Jean,Kai Jia,Mikhail Korobov,Vivek Kulkarni,Alex Lamb,Pascal Lamblin,Eric Larsen,César Laurent,Sean Lee,Simon Lefrancois,Simon Lemieux,Nicholas Léonard,Zhouhan Lin,Jesse A. Livezey,Cory Lorenz,Jeremiah Lowin,Qianli Ma,Pierre-Antoine Manzagol,Olivier Mastropietro,Robert T. McGibbon,Roland Memisevic,Bart van Merriënboer,Vincent Michalski,Mehdi Mirza,Alberto Orlandi,Chris Pal,Razvan Pascanu,Mohammad Pezeshki,Colin Raffel,Daniel Renshaw,Matthew Rocklin,Adriana Romero,Markus Roth,Peter Sadowski,John Salvatier,François Savard,Jan Schlüter,John Schulman,Gabriel Schwartz,Iulian Vlad Serban,Dmitriy Serdyuk,Samira Shabanian,Étienne Simon,Sigurd Spieckermann,S. Ramana Subramanyam,Jakub Sygnowski,Jérémie Tanguay,Gijs van Tulder,Joseph Turian,Sebastian Urban,Pascal Vincent,Francesco Visin,Harm de Vries,David Warde-Farley,Dustin J. Webb,Matthew Willson,Kelvin Xu,Lijun Xue,Li Yao,Saizheng Zhang,Ying Zhang +111 more
TL;DR: The performance of Theano is compared against Torch7 and TensorFlow on several machine learning models and recently-introduced functionalities and improvements are discussed.
Proceedings Article
Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering
Yoshua Bengio,Jean-françcois Paiement,Pascal Vincent,Olivier Delalleau,Nicolas Le Roux,Marie Claude Ouimet +5 more
TL;DR: A unified framework for extending Local Linear Embedding, Isomap, Laplacian Eigenmaps, Multi-Dimensional Scaling as well as for Spectral Clustering is provided.
Journal ArticleDOI
Learning Eigenfunctions Links Spectral Embedding and Kernel PCA
Yoshua Bengio,Olivier Delalleau,Nicolas Le Roux,Jean-François Paiement,Pascal Vincent,Marie Ouimet +5 more
TL;DR: A direct relation is shown between spectral embedding methods and kernel principal components analysis and how both are special cases of a more general learning problem: learning the principal eigenfunctions of an operator defined from a kernel and the unknown data-generating density.
Proceedings Article
Shallow vs. Deep Sum-Product Networks
Olivier Delalleau,Yoshua Bengio +1 more
TL;DR: It is proved there exist families of functions that can be represented much more efficiently with a deep network than with a shallow one, i.e. with substantially fewer hidden units.
Theano: Deep Learning on GPUs with Python
James Bergstra,Frédéric Bastien,Olivier Breuleux,Pascal Lamblin,Razvan Pascanu,Olivier Delalleau,Guillaume Desjardins,David Warde-Farley,Ian Goodfellow,Arnaud Bergeron,Yoshua Bengio +10 more
TL;DR: This paper presents Theano, a framework in the Python programming language for defining, optimizing and evaluating expressions involving high-level operations on tensors, and adds automatic symbolic differentiation, GPU support, and faster expression evaluation.