Emmanuel Bengio

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 40

Top Topics

Maximum Entropy

Temporal Difference

Diffusion Models

Top Venues

Publications

Sobhan Mohammadpour, Emmanuel Bengio, Emma Frejinger, Pierre-Luc Bacon
Maximum entropy GFlowNets with soft Q-learning. AISTATS (2024)
George Ma, Emmanuel Bengio, Yoshua Bengio, Dinghuai Zhang
Baking Symmetry into GFlowNets. CoRR (2024)
Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park
Local Search GFlowNets. ICLR (2024)
Haoran He, Emmanuel Bengio, Qingpeng Cai, Ling Pan
Rectifying Reinforcement Learning for Reward Matching. CoRR (2024)
Miruna T. Cretu, Charles Harris, Julien Roy, Emmanuel Bengio, Pietro Liò
SynFlowNet: Towards Molecule Design with Guaranteed Synthesis Pathways. CoRR (2024)
Elaine Lau, Stephen Zhewen Lu, Ling Pan, Doina Precup, Emmanuel Bengio
QGFN: Controllable Greediness with Action Values. CoRR (2024)
Lazar Atanackovic, Emmanuel Bengio
Investigating Generalization Behaviours of Generative Flow Networks. CoRR (2024)
Maksym Korablyov, Cheng-Hao Liu, Moksh Jain, Almer M. van der Sloot, Eric Jolicoeur, Edward Ruediger, Andrei Cristian Nica, Emmanuel Bengio, Kostiantyn Lapchevskyi, Daniel St-Cyr, Doris Alexandra Schuetz, Victor Ion Butoi, Jarrid Rector-Brooks, Simon Blackburn, Leo Feng, Hadi Nekoei, Sai Krishna Gottipati, Priyesh Vijayan, Prateek Gupta, Ladislav Rampásek, Sasikanth Avancha, Pierre-Luc Bacon, William L. Hamilton, Brooks Paige, Sanchit Misra, Stanislaw Kamil Jastrzebski, Bharat Kaul, Doina Precup, José Miguel Hernández-Lobato, Marwin H. S. Segler, Michael M. Bronstein, Anne Marinier, Mike Tyers, Yoshua Bengio
Generative Active Learning for the Search of Small-molecule Protein Binders. CoRR (2024)
Siddarth Venkatraman, Moksh Jain, Luca Scimeca, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yoshua Bengio, Glen Berseth, Nikolay Malkin
Amortizing intractable inference in diffusion models for vision, language, and control. CoRR (2024)
Max W. Shen, Emmanuel Bengio, Ehsan Hajiramezanali, Andreas Loukas, Kyunghyun Cho, Tommaso Biancalani
Towards Understanding and Improving GFlowNet Training. CoRR (2023)
Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park
Local Search GFlowNets. CoRR (2023)
Kanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei Cristian Nica, Tom Bosc, Yoshua Bengio, Nikolay Malkin
Learning GFlowNets From Partial Episodes For Improved Convergence And Stability. ICML (2023)
Max W. Shen, Emmanuel Bengio, Ehsan Hajiramezanali, Andreas Loukas, Kyunghyun Cho, Tommaso Biancalani
Towards Understanding and Improving GFlowNet Training. ICML (2023)
Moksh Jain, Sharath Chandra Raparthy, Alex Hernández-García, Jarrid Rector-Brooks, Yoshua Bengio, Santiago Miret, Emmanuel Bengio
Multi-Objective GFlowNets. ICML (2023)
Sobhan Mohammadpour, Emmanuel Bengio, Emma Frejinger, Pierre-Luc Bacon
Maximum entropy GFlowNets with soft Q-learning. CoRR (2023)
Julien Roy, Pierre-Luc Bacon, Christopher Pal, Emmanuel Bengio
Goal-conditioned GFlowNets for Controllable Multi-Objective Molecular Design. CoRR (2023)
Elaine Lau, Nikhil Vemgal, Doina Precup, Emmanuel Bengio
DGFN: Double Generative Flow Networks. CoRR (2023)
Yoshua Bengio, Salem Lahlou, Tristan Deleu, Edward J. Hu, Mo Tiwari, Emmanuel Bengio
GFlowNet Foundations. J. Mach. Learn. Res. 24 (2023)
Nikolay Malkin, Moksh Jain, Emmanuel Bengio, Chen Sun, Yoshua Bengio
Trajectory Balance: Improved Credit Assignment in GFlowNets. CoRR (2022)
Moksh Jain, Emmanuel Bengio, Alex Hernández-García, Jarrid Rector-Brooks, Bonaventure F. P. Dossou, Chanakya Ajit Ekbote, Jie Fu, Tianyu Zhang, Michael Kilgour, Dinghuai Zhang, Lena Simine, Payel Das, Yoshua Bengio
Biological Sequence Design with GFlowNets. ICML (2022)
Kanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei Nica, Tom Bosc, Yoshua Bengio, Nikolay Malkin
Learning GFlowNets from partial episodes for improved convergence and stability. CoRR (2022)
Nikolay Malkin, Moksh Jain, Emmanuel Bengio, Chen Sun, Yoshua Bengio
Trajectory balance: Improved credit assignment in GFlowNets. NeurIPS (2022)
Moksh Jain, Emmanuel Bengio, Alex Hernández-García, Jarrid Rector-Brooks, Bonaventure F. P. Dossou, Chanakya Ekbote, Jie Fu, Tianyu Zhang, Michael Kilgour, Dinghuai Zhang, Lena Simine, Payel Das, Yoshua Bengio
Biological Sequence Design with GFlowNets. CoRR (2022)
Moksh Jain, Sharath Chandra Raparthy, Alex Hernández-García, Jarrid Rector-Brooks, Yoshua Bengio, Santiago Miret, Emmanuel Bengio
Multi-Objective GFlowNets. CoRR (2022)
Emmanuel Bengio, Joelle Pineau, Doina Precup
Correcting Momentum in Temporal Difference Learning. CoRR (2021)
Emmanuel Bengio, Moksh Jain, Maksym Korablyov, Doina Precup, Yoshua Bengio
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation. NeurIPS (2021)
Yoshua Bengio, Tristan Deleu, Edward J. Hu, Salem Lahlou, Mo Tiwari, Emmanuel Bengio
GFlowNet Foundations. CoRR (2021)
Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon, Joelle Pineau
TDprop: Does Adaptive Optimization With Jacobi Preconditioning Help Temporal Difference Learning? AAMAS (2021)
Emmanuel Bengio, Moksh Jain, Maksym Korablyov, Doina Precup, Yoshua Bengio
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation. CoRR (2021)
Emmanuel Bengio, Joelle Pineau, Doina Precup
Interference and Generalization in Temporal Difference Learning. CoRR (2020)
Emmanuel Bengio, Joelle Pineau, Doina Precup
Interference and Generalization in Temporal Difference Learning. ICML (2020)
Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon, Joelle Pineau
TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning? CoRR (2020)
Thomas J. Rademaker, Emmanuel Bengio, Paul François
Fooling the classifier: Ligand antagonism and adversarial examples. CoRR (2018)
Valentin Thomas, Emmanuel Bengio, William Fedus, Jules Pondard, Philippe Beaudoin, Hugo Larochelle, Joelle Pineau, Doina Precup, Yoshua Bengio
Disentangling the independently controllable factors of variation by interacting with the world. CoRR (2018)
Devansh Arpit, Stanislaw Jastrzebski, Nicolas Ballas, David Krueger, Emmanuel Bengio, Maxinder S. Kanwal, Tegan Maharaj, Asja Fischer, Aaron C. Courville, Yoshua Bengio, Simon Lacoste-Julien
A Closer Look at Memorization in Deep Networks. ICML (2017)
David Krueger, Nicolas Ballas, Stanislaw Jastrzebski, Devansh Arpit, Maxinder S. Kanwal, Tegan Maharaj, Emmanuel Bengio, Asja Fischer, Aaron C. Courville
Deep Nets Don't Learn via Memorization. ICLR (Workshop) (2017)
Devansh Arpit, Stanislaw Jastrzebski, Nicolas Ballas, David Krueger, Emmanuel Bengio, Maxinder S. Kanwal, Tegan Maharaj, Asja Fischer, Aaron C. Courville, Yoshua Bengio, Simon Lacoste-Julien
A Closer Look at Memorization in Deep Networks. CoRR (2017)
Teng Long, Emmanuel Bengio, Ryan Lowe, Jackie Chi Kit Cheung, Doina Precup
World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions. EMNLP (2017)
Valentin Thomas, Jules Pondard, Emmanuel Bengio, Marc Sarfati, Philippe Beaudoin, Marie-Jean Meurs, Joelle Pineau, Doina Precup, Yoshua Bengio
Independently Controllable Factors. CoRR (2017)
Emmanuel Bengio, Valentin Thomas, Joelle Pineau, Doina Precup, Yoshua Bengio
Independently Controllable Features. CoRR (2017)
Emmanuel Bengio, Pierre-Luc Bacon, Joelle Pineau, Doina Precup
Conditional Computation in Neural Networks for faster models. CoRR (2015)
Samira Ebrahimi Kahou, Christopher J. Pal, Xavier Bouthillier, Pierre Froumenty, Çaglar Gülçehre, Roland Memisevic, Pascal Vincent, Aaron C. Courville, Yoshua Bengio, Raul Chandias Ferrari, Mehdi Mirza, Sébastien Jean, Pierre Luc Carrier, Yann N. Dauphin, Nicolas Boulanger-Lewandowski, Abhishek Aggarwal, Jeremie Zumer, Pascal Lamblin, Jean-Philippe Raymond, Guillaume Desjardins, Razvan Pascanu, David Warde-Farley, Atousa Torabi, Arjun Sharma, Emmanuel Bengio, Kishore Reddy Konda, Zhenzhou Wu
Combining modality specific deep neural networks for emotion recognition in video. ICMI (2013)