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ORCIDOlivier Delalleau
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2020 – today
- 2020
[i4]Shagun Sodhani, Olivier Delalleau, Mahmoud Assran, Koustuv Sinha, Nicolas Ballas, Michael G. Rabbat:
A Closer Look at Codistillation for Distributed Training. CoRR abs/2010.02838 (2020)
2010 – 2019
- 2019
- [i3]Olivier Delalleau, Maxim Peter, Eloi Alonso, Adrien Logut:
Discrete and Continuous Action Representation for Practical RL in Video Games. CoRR abs/1912.11077 (2019) - 2016
- [i2]Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, 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 C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, 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 Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph 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 P. 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:
Theano: A Python framework for fast computation of mathematical expressions. CoRR abs/1605.02688 (2016) - 2013
- [c9]Eric Thibodeau-Laufer, Raul Chandias Ferrari, Li Yao, Olivier Delalleau, Yoshua Bengio:
Stacked calibration of off-policy policy evaluation for video game matchmaking. CIG 2013: 1-8 - 2012
- [j6]Yoshua Bengio, Nicolas Chapados, Olivier Delalleau, Hugo Larochelle, Xavier Saint-Mleux, Christian Hudon, Jérôme Louradour:
Detonation Classification from acoustic Signature with the Restricted Boltzmann Machine. Comput. Intell. 28(2): 261-288 (2012) - [j5]Olivier Delalleau, Emile Contal, Eric Thibodeau-Laufer, Raul Chandias Ferrari, Yoshua Bengio, Frank Zhang:
Beyond Skill Rating: Advanced Matchmaking in Ghost Recon Online. IEEE Trans. Comput. Intell. AI Games 4(3): 167-177 (2012) - [i1]Olivier Delalleau, Aaron C. Courville, Yoshua Bengio:
Efficient EM Training of Gaussian Mixtures with Missing Data. CoRR abs/1209.0521 (2012) - 2011
- [c8]Yoshua Bengio, Olivier Delalleau:
On the Expressive Power of Deep Architectures. ALT 2011: 18-36 - [c7]Yoshua Bengio, Olivier Delalleau:
On the Expressive Power of Deep Architectures. Discovery Science 2011: 1 - [c6]Olivier Delalleau, Yoshua Bengio:
Shallow vs. Deep Sum-Product Networks. NIPS 2011: 666-674 - 2010
- [j4]Yoshua Bengio, Olivier Delalleau, Clarence Simard:
Decision trees do not generalize to new variations. Comput. Intell. 26(4): 449-467 (2010) - [c5]Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio, Pascal Vincent, Olivier Delalleau:
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines. AISTATS 2010: 145-152
2000 – 2009
- 2009
- [j3]Yoshua Bengio, Olivier Delalleau:
Justifying and Generalizing Contrastive Divergence. Neural Comput. 21(6): 1601-1621 (2009) - 2006
- [p3]Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux:
Label Propagation and Quadratic Criterion. Semi-Supervised Learning 2006: 192-216 - [p2]Olivier Delalleau, Yoshua Bengio, Nicolas Le Roux:
Large-Scale Algorithms. Semi-Supervised Learning 2006: 332-341 - [p1]Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux, Jean-François Paiement, Pascal Vincent, Marie Ouimet:
Spectral Dimensionality Reduction. Feature Extraction 2006: 519-550 - 2005
- [c4]Olivier Delalleau, Yoshua Bengio, Nicolas Le Roux:
Efficient Non-Parametric Function Induction in Semi-Supervised Learning. AISTATS 2005 - [c3]Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux:
The Curse of Highly Variable Functions for Local Kernel Machines. NIPS 2005: 107-114 - [c2]Yoshua Bengio, Nicolas Le Roux, Pascal Vincent, Olivier Delalleau, Patrice Marcotte:
Convex Neural Networks. NIPS 2005: 123-130 - 2004
- [j2]Pierre-Jean L'Heureux, Julie Carreau, Yoshua Bengio, Olivier Delalleau, Shi Yi Yue:
Locally Linear Embedding for dimensionality reduction in QSAR. J. Comput. Aided Mol. Des. 18(7): 475-482 (2004) - [j1]Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux, Jean-François Paiement, Pascal Vincent, Marie Ouimet:
Learning Eigenfunctions Links Spectral Embedding and Kernel PCA. Neural Comput. 16(10): 2197-2219 (2004) - 2003
- [c1]Yoshua Bengio, Jean-François Paiement, Pascal Vincent, Olivier Delalleau, Nicolas Le Roux, Marie Ouimet:
Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering. NIPS 2003: 177-184
Coauthor Index
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last updated on 2022-08-25 05:43 CEST by the dblp team
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