Olivier Delalleau

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 10

Top Topics

Predictive Control

Utility Elicitation

Mathematical Expressions

Top Venues

Publications

Gerald Shen, Zhilin Wang, Olivier Delalleau, Jiaqi Zeng, Yi Dong, Daniel Egert, Shengyang Sun, Jimmy J. Zhang, Sahil Jain, Ali Taghibakhshi, Markel Sanz Ausin, Ashwath Aithal, Oleksii Kuchaiev
NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment. CoRR (2024)
Zhilin Wang, Yi Dong, Jiaqi Zeng, Virginia Adams, Makesh Narsimhan Sreedhar, Daniel Egert, Olivier Delalleau, Jane Polak Scowcroft, Neel Kant, Aidan Swope, Oleksii Kuchaiev
HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM. NAACL-HLT (2024)
Zhilin Wang, Yi Dong, Olivier Delalleau, Jiaqi Zeng, Gerald Shen, Daniel Egert, Jimmy J. Zhang, Makesh Narsimhan Sreedhar, Oleksii Kuchaiev
HelpSteer2: Open-source dataset for training top-performing reward models. CoRR (2024)
Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, Ürün Dogan, Zheqing Zhu, Olivier Delalleau
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control. ICRA (2024)
Bo Adler, Niket Agarwal, Ashwath Aithal, Dong H. Anh, Pallab Bhattacharya, Annika Brundyn, Jared Casper, Bryan Catanzaro, Sharon Clay, Jonathan M. Cohen, Sirshak Das, Ayush Dattagupta, Olivier Delalleau, Leon Derczynski, Yi Dong, Daniel Egert, Ellie Evans, Aleksander Ficek, Denys Fridman, Shaona Ghosh, Boris Ginsburg, Igor Gitman, Tomasz Grzegorzek, Robert Hero, Jining Huang, Vibhu Jawa, Joseph Jennings, Aastha Jhunjhunwala, John Kamalu, Sadaf Khan, Oleksii Kuchaiev, Patrick LeGresley, Hui Li, Jiwei Liu, Zihan Liu, Eileen Long, Ameya Sunil Mahabaleshwarkar, Somshubra Majumdar, James Maki, Miguel Martinez, Maer Rodrigues de Melo, Ivan Moshkov, Deepak Narayanan, Sean Narenthiran, Jesus Navarro, Phong Nguyen, Osvald Nitski, Vahid Noroozi, Guruprasad Nutheti, Christopher Parisien, Jupinder Parmar, Mostofa Patwary, Krzysztof Pawelec, Wei Ping, Shrimai Prabhumoye, Rajarshi Roy, Trisha Saar, Vasanth Rao Naik Sabavat, Sanjeev Satheesh, Jane Polak Scowcroft, Jason Sewall, Pavel Shamis, Gerald Shen, Mohammad Shoeybi, Dave Sizer, Misha Smelyanskiy, Felipe Soares, Makesh Narsimhan Sreedhar, Dan Su, Sandeep Subramanian, Shengyang Sun, Shubham Toshniwal, Hao Wang, Zhilin Wang, Jiaxuan You, Jiaqi Zeng, Jimmy Zhang, Jing Zhang, Vivienne Zhang, Yian Zhang, Chen Zhu
Nemotron-4 340B Technical Report. CoRR (2024)
Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, Urun Dogan, Zheqing Zhu, Olivier Delalleau
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control. CoRR (2023)
Zhilin Wang, Yi Dong, Jiaqi Zeng, Virginia Adams, Makesh Narsimhan Sreedhar, Daniel Egert, Olivier Delalleau, Jane Polak Scowcroft, Neel Kant, Aidan Swope, Oleksii Kuchaiev
HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM. CoRR (2023)
Shagun Sodhani, Olivier Delalleau, Mahmoud Assran, Koustuv Sinha, Nicolas Ballas, Michael G. Rabbat
A Closer Look at Codistillation for Distributed Training. CoRR (2020)
Olivier Delalleau, Maxim Peter, Eloi Alonso, Adrien Logut
Discrete and Continuous Action Representation for Practical RL in Video Games. CoRR (2019)
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 (2016)
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)
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) (2012)
Olivier Delalleau, Aaron C. Courville, Yoshua Bengio
Efficient EM Training of Gaussian Mixtures with Missing Data CoRR (2012)
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) (2012)
Olivier Delalleau, Yoshua Bengio
Shallow vs. Deep Sum-Product Networks. NIPS (2011)
Yoshua Bengio, Olivier Delalleau
On the Expressive Power of Deep Architectures. ALT (2011)
Yoshua Bengio, Olivier Delalleau
On the Expressive Power of Deep Architectures. Discovery Science (2011)
Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio, Pascal Vincent, Olivier Delalleau
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines. AISTATS (2010)
Yoshua Bengio, Olivier Delalleau, Clarence Simard
Decision trees do not generalize to new variations. Comput. Intell. 26 (4) (2010)
Yoshua Bengio, Olivier Delalleau
Justifying and Generalizing Contrastive Divergence. Neural Comput. 21 (6) (2009)
Olivier Delalleau, Yoshua Bengio, Nicolas Le Roux
Efficient Non-Parametric Function Induction in Semi-Supervised Learning. AISTATS (2005)
Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux
The Curse of Highly Variable Functions for Local Kernel Machines. NIPS (2005)
Yoshua Bengio, Nicolas Le Roux, Pascal Vincent, Olivier Delalleau, Patrice Marcotte
Convex Neural Networks. NIPS (2005)
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) (2004)
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) (2004)
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)