| A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms Y Bengio, T Deleu, N Rahaman, R Ke, S Lachapelle, O Bilaniuk, A Goyal, ... International Conference on Learning Representations (ICLR 2020), 2019 | 277 | 2019 |
| Gradient-Based Neural DAG Learning S Lachapelle, P Brouillard, T Deleu, S Lacoste-Julien International Conference on Learning Representations (ICLR 2020), 2019 | 130 | 2019 |
| Covi white paper H Alsdurf, E Belliveau, Y Bengio, T Deleu, P Gupta, D Ippolito, R Janda, ... arXiv preprint arXiv:2005.08502, 2020 | 41 | 2020 |
| Torchmeta: A meta-learning library for pytorch T Deleu, T Würfl, M Samiei, JP Cohen, Y Bengio arXiv preprint arXiv:1909.06576, 2019 | 40 | 2019 |
| Gflownet foundations Y Bengio, S Lahlou, T Deleu, EJ Hu, M Tiwari, E Bengio arXiv preprint arXiv:2111.09266, 2021 | 30 | 2021 |
| Torchmeta: A Meta-Learning library for PyTorch, 2019 T Deleu, T Würfl, M Samiei, JP Cohen, Y Bengio URL https://arxiv. org/abs/1909.06576. Available at: https://github. com …, 1909 | 30 | 1909 |
| Bayesian structure learning with generative flow networks T Deleu, A Góis, C Emezue, M Rankawat, S Lacoste-Julien, S Bauer, ... Uncertainty in Artificial Intelligence, 518-528, 2022 | 24 | 2022 |
| The effects of negative adaptation in model-agnostic meta-learning T Deleu, Y Bengio arXiv preprint arXiv:1812.02159, 2018 | 19 | 2018 |
| Predicting infectiousness for proactive contact tracing Y Bengio, P Gupta, T Maharaj, N Rahaman, M Weiss, T Deleu, E Muller, ... arXiv preprint arXiv:2010.12536, 2020 | 15 | 2020 |
| Curriculum in gradient-based meta-reinforcement learning B Mehta, T Deleu, SC Raparthy, CJ Pal, L Paull arXiv preprint arXiv:2002.07956, 2020 | 13 | 2020 |
| COVI-AgentSim: an agent-based model for evaluating methods of digital contact tracing P Gupta, T Maharaj, M Weiss, N Rahaman, H Alsdurf, A Sharma, ... arXiv preprint arXiv:2010.16004, 2020 | 7 | 2020 |
| Learning operations on a stack with Neural Turing Machines T Deleu, J Dureau arXiv preprint arXiv:1612.00827, 2016 | 7 | 2016 |
| Continuous-Time Meta-Learning with Forward Mode Differentiation T Deleu, D Kanaa, L Feng, G Kerg, Y Bengio, G Lajoie, PL Bacon arXiv preprint arXiv:2203.01443, 2022 | 6 | 2022 |
| Structured sparsity inducing adaptive optimizers for deep learning T Deleu, Y Bengio arXiv preprint arXiv:2102.03869, 2021 | 6 | 2021 |
| A meta-transfer objective for learning to disentangle causal mechanisms (2019) Y Bengio, T Deleu, N Rahaman, R Ke, S Lachapelle, O Bilaniuk, A Goyal, ... arXiv preprint arXiv:1901.10912, 1901 | 6 | 1901 |
| Model-Agnostic Meta-Learning for Reinforcement Learning in PyTorch, 2018 T Deleu | 6 | |
| GFlowNets and variational inference N Malkin, S Lahlou, T Deleu, X Ji, E Hu, K Everett, D Zhang, Y Bengio arXiv preprint arXiv:2210.00580, 2022 | 5 | 2022 |
| Model-Agnostic Meta-Learning for Reinforcement Learning in PyTorch T Deleu | 5 | 2018 |
| The tcga meta-dataset clinical benchmark M Samiei, T Würfl, T Deleu, M Weiss, F Dutil, T Fevens, G Boucher, ... arXiv preprint arXiv:1910.08636, 2019 | 4 | 2019 |
| Learning powerful policies by using consistent dynamics model S Sodhani, A Goyal, T Deleu, Y Bengio, S Levine, J Tang arXiv preprint arXiv:1906.04355, 2019 | 4 | 2019 |
