|A closer look at memorization in deep networks|
D Arpit, S Jastrzębski, N Ballas, D Krueger, E Bengio, MS Kanwal, ...
International conference on machine learning, 233-242, 2017
|Combining modality specific deep neural networks for emotion recognition in video|
SE Kahou, C Pal, X Bouthillier, P Froumenty, Ç Gülçehre, R Memisevic, ...
Proceedings of the 15th ACM on International conference on multimodal …, 2013
|Conditional computation in neural networks for faster models|
E Bengio, PL Bacon, J Pineau, D Precup
arXiv preprint arXiv:1511.06297, 2015
|Flow network based generative models for non-iterative diverse candidate generation|
E Bengio, M Jain, M Korablyov, D Precup, Y Bengio
Advances in Neural Information Processing Systems 34, 27381-27394, 2021
|Independently controllable factors|
V Thomas, J Pondard, E Bengio, M Sarfati, P Beaudoin, MJ Meurs, ...
arXiv preprint arXiv:1708.01289, 2017
Y Bengio, S Lahlou, T Deleu, EJ Hu, M Tiwari, E Bengio
Journal of Machine Learning Research 24 (210), 1-55, 2023
|Biological sequence design with gflownets|
M Jain, E Bengio, A Hernandez-Garcia, J Rector-Brooks, BFP Dossou, ...
International Conference on Machine Learning, 9786-9801, 2022
|Deep nets don't learn via memorization|
D Krueger, N Ballas, S Jastrzebski, D Arpit, MS Kanwal, T Maharaj, ...
|Disentangling the independently controllable factors of variation by interacting with the world|
V Thomas, E Bengio, W Fedus, J Pondard, P Beaudoin, H Larochelle, ...
arXiv preprint arXiv:1802.09484, 2018
|Interference and generalization in temporal difference learning|
E Bengio, J Pineau, D Precup
International Conference on Machine Learning, 767-777, 2020
|Trajectory balance: Improved credit assignment in gflownets|
N Malkin, M Jain, E Bengio, C Sun, Y Bengio
Advances in Neural Information Processing Systems 35, 5955-5967, 2022
|Independently controllable features|
E Bengio, V Thomas, J Pineau, D Precup, Y Bengio
arXiv preprint arXiv:1703.07718, 2017
|World knowledge for reading comprehension: Rare entity prediction with hierarchical lstms using external descriptions|
T Long, E Bengio, R Lowe, JCK Cheung, D Precup
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
|Learning GFlowNets from partial episodes for improved convergence and stability|
K Madan, J Rector-Brooks, M Korablyov, E Bengio, M Jain, AC Nica, ...
International Conference on Machine Learning, 23467-23483, 2023
M Jain, SC Raparthy, A Hernández-Garcıa, J Rector-Brooks, Y Bengio, ...
International Conference on Machine Learning, 14631-14653, 2023
|Towards Understanding and Improving GFlowNet Training|
MW Shen, E Bengio, E Hajiramezanali, A Loukas, K Cho, T Biancalani
arXiv preprint arXiv:2305.07170, 2023
|Attack and defense in cellular decision-making: lessons from machine learning|
TJ Rademaker, E Bengio, P François
Physical Review X 9 (3), 031012, 2019
|Correcting momentum in temporal difference learning|
E Bengio, J Pineau, D Precup
arXiv preprint arXiv:2106.03955, 2021
|TDprop: Does Adaptive Optimization With Jacobi Preconditioning Help Temporal Difference Learning?|
J Romoff, P Henderson, D Kanaa, E Bengio, A Touati, PL Bacon, J Pineau
Proceedings of the 20th International Conference on Autonomous Agents and …, 2021
|Evaluating generalization in gflownets for molecule design|
AC Nica, M Jain, E Bengio, CH Liu, M Korablyov, MM Bronstein, Y Bengio
ICLR2022 Machine Learning for Drug Discovery, 2022