Bengio, Emmanuel

37 publications

ICLR 2025 Action Abstractions for Amortized Sampling Oussama Boussif, Lena Nehale Ezzine, Joseph D Viviano, Michał Koziarski, Moksh Jain, Nikolay Malkin, Emmanuel Bengio, Rim Assouel, Yoshua Bengio

ICLR 2025 Adaptive Teachers for Amortized Samplers Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio

ICLR 2025 Efficient Biological Data Acquisition Through Inference Set Design Ihor Neporozhnii, Julien Roy, Emmanuel Bengio, Jason Hartford

ICML 2025 Improved Off-Policy Reinforcement Learning in Biological Sequence Design Hyeonah Kim, Minsu Kim, Taeyoung Yun, Sanghyeok Choi, Emmanuel Bengio, Alex Hernández-Garcı́a, Jinkyoo Park

TMLR 2025 Investigating Generalization Behaviours of Generative Flow Networks Lazar Atanackovic, Emmanuel Bengio

TMLR 2025 Learning Equivalence Classes of Bayesian Network Structures with GFlowNet Michelle Liu, Zhaocheng Zhu, Olexa Bilaniuk, Emmanuel Bengio

ICML 2025 Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation Mohit Pandey, Gopeshh Subbaraj, Artem Cherkasov, Martin Ester, Emmanuel Bengio

ICML 2025 Random Policy Evaluation Uncovers Policies of Generative Flow Networks Haoran He, Emmanuel Bengio, Qingpeng Cai, Ling Pan

ICLR 2025 SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints Miruna Cretu, Charles Harris, Ilia Igashov, Arne Schneuing, Marwin Segler, Bruno Correia, Julien Roy, Emmanuel Bengio, Pietro Lio

ICLR 2025 Towards Improving Exploration Through Sibling Augmented GFlowNets Kanika Madan, Alex Lamb, Emmanuel Bengio, Glen Berseth, Yoshua Bengio

NeurIPS 2024 Amortizing Intractable Inference in Diffusion Models for Vision, Language, and Control 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

NeurIPSW 2024 GFlowNet Pretraining with Inexpensive Rewards Mohit Pandey, Gopeshh Subbaraj, Emmanuel Bengio

NeurIPSW 2024 GFlowNet Pretraining with Inexpensive Rewards Mohit Pandey, Gopeshh Subbaraj, Emmanuel Bengio

NeurIPSW 2024 Improved Off-Policy Reinforcement Learning in Biological Sequence Design Hyeonah Kim, Minsu Kim, Taeyoung Yun, Sanghyeok Choi, Emmanuel Bengio, Alex Hernández-García, Jinkyoo Park

ICMLW 2024 Investigating Generalization Behaviours of Generative Flow Networks Lazar Atanackovic, Emmanuel Bengio

ICML 2024 Learning to Scale Logits for Temperature-Conditional GFlowNets Minsu Kim, Joohwan Ko, Taeyoung Yun, Dinghuai Zhang, Ling Pan, Woo Chang Kim, Jinkyoo Park, Emmanuel Bengio, Yoshua Bengio

ICLR 2024 Local Search GFlowNets Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park

AISTATS 2024 Maximum Entropy GFlowNets with Soft Q-Learning Sobhan Mohammadpour, Emmanuel Bengio, Emma Frejinger, Pierre-Luc Bacon

NeurIPS 2024 QGFN: Controllable Greediness with Action Values Elaine Lau, Stephen Zhewen Lu, Ling Pan, Doina Precup, Emmanuel Bengio

ICMLW 2024 QGFN: Controllable Greediness with Action Values Elaine Lau, Stephen Zhewen Lu, Ling Pan, Doina Precup, Emmanuel Bengio

ICLRW 2024 SynFlowNet: Towards Molecule Design with Guaranteed Synthesis Pathways Miruna Cretu, Charles Harris, Julien Roy, Emmanuel Bengio, Pietro Lio

NeurIPSW 2023 Baking Symmetry into GFlowNets George Ma, Emmanuel Bengio, Yoshua Bengio, Dinghuai Zhang

NeurIPSW 2023 DGFN: Double Generative Flow Networks Elaine Lau, Nikhil Murali Vemgal, Doina Precup, Emmanuel Bengio

NeurIPSW 2023 DGFN: Double Generative Flow Networks Elaine Lau, Nikhil Murali Vemgal, Doina Precup, Emmanuel Bengio

JMLR 2023 GFlowNet Foundations Yoshua Bengio, Salem Lahlou, Tristan Deleu, Edward J. Hu, Mo Tiwari, Emmanuel Bengio

ICMLW 2023 Goal-Conditioned GFlowNets for Controllable Multi-Objective Molecular Design Julien Roy, Pierre-Luc Bacon, Christopher Pal, Emmanuel Bengio

ICML 2023 Learning GFlowNets from Partial Episodes for Improved Convergence and Stability Kanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei Cristian Nica, Tom Bosc, Yoshua Bengio, Nikolay Malkin

ICML 2023 Multi-Objective GFlowNets Moksh Jain, Sharath Chandra Raparthy, Alex Hernández-Garcı́a, Jarrid Rector-Brooks, Yoshua Bengio, Santiago Miret, Emmanuel Bengio

ICML 2023 Towards Understanding and Improving GFlowNet Training Max W Shen, Emmanuel Bengio, Ehsan Hajiramezanali, Andreas Loukas, Kyunghyun Cho, Tommaso Biancalani

ICML 2022 Biological Sequence Design with GFlowNets Moksh Jain, Emmanuel Bengio, Alex Hernandez-Garcia, Jarrid Rector-Brooks, Bonaventure F. P. Dossou, Chanakya Ajit Ekbote, Jie Fu, Tianyu Zhang, Michael Kilgour, Dinghuai Zhang, Lena Simine, Payel Das, Yoshua Bengio

ICLRW 2022 Evaluating Generalization in GFlowNets for Molecule Design Andrei Cristian Nica, Moksh Jain, Emmanuel Bengio, Cheng-Hao Liu, Maksym Korablyov, Michael M. Bronstein, Yoshua Bengio

NeurIPSW 2022 Multi-Objective GFlowNets Moksh Jain, Sharath Chandra Raparthy, Alex Hernández-García, Jarrid Rector-Brooks, Yoshua Bengio, Santiago Miret, Emmanuel Bengio

NeurIPS 2022 Trajectory Balance: Improved Credit Assignment in GFlowNets Nikolay Malkin, Moksh Jain, Emmanuel Bengio, Chen Sun, Yoshua Bengio

NeurIPS 2021 Flow Network Based Generative Models for Non-Iterative Diverse Candidate Generation Emmanuel Bengio, Moksh Jain, Maksym Korablyov, Doina Precup, Yoshua Bengio

ICML 2020 Interference and Generalization in Temporal Difference Learning Emmanuel Bengio, Joelle Pineau, Doina Precup

ICML 2017 A Closer Look at Memorization in Deep Networks Devansh Arpit, Stanisław Jastrzębski, Nicolas Ballas, David Krueger, Emmanuel Bengio, Maxinder S. Kanwal, Tegan Maharaj, Asja Fischer, Aaron Courville, Yoshua Bengio, Simon Lacoste-Julien

ICLR 2017 Deep Nets Don't Learn via Memorization David Krueger, Nicolas Ballas, Stanislaw Jastrzebski, Devansh Arpit, Maxinder S. Kanwal, Tegan Maharaj, Emmanuel Bengio, Asja Fischer, Aaron C. Courville