Tristan Deleu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
4
Active years
2020–2024
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | UAI | Discrete Probabilistic Inference as Control in Multi-path Environments. | Tristan Deleu, Padideh Nouri, Nikolay Malkin, Doina Precup, Yoshua Bengio |
| 2023 | AAAI | The Effect of Diversity in Meta-Learning. | Ramnath Kumar, Tristan Deleu, Yoshua Bengio |
| 2023 | ICLR | GFlowNets and variational inference. | Nikolay Malkin, Salem Lahlou, Tristan Deleu, Xu Ji, Edward J. Hu, Katie Everett, Dinghuai Zhang, Yoshua Bengio |
| 2023 | ICML | Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning. | Sbastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand |
| 2023 | ICML | A theory of continuous generative flow networks. | Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernndez-Garca, Lna Nhale Ezzine, Yoshua Bengio, Nikolay Malkin |
| 2022 | ICLR | Continuous-Time Meta-Learning with Forward Mode Differentiation. | Tristan Deleu, David Kanaa, Leo Feng, Giancarlo Kerg, Yoshua Bengio, Guillaume Lajoie, Pierre-Luc Bacon |
| 2022 | UAI | Bayesian structure learning with generative flow networks. | Tristan Deleu, Antnio Gis, Chris Emezue, Mansi Rankawat, Simon Lacoste-Julien, Stefan Bauer, Yoshua Bengio |
| 2021 | ICLR | Predicting Infectiousness for Proactive Contact Tracing. | Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Benjamin Mller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilaniuk, David L. Buckeridge, Gatan Marceau-Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Christopher J. Pal, Irina Rish, Bernhard Schlkopf, Abhinav Sharma, Jian Tang, Andrew Williams |
| 2020 | ICLR | A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms. | Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Nan Rosemary Ke, Sbastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal, Christopher J. Pal |
| 2020 | ICLR | Gradient-Based Neural DAG Learning. | Sbastien Lachapelle, Philippe Brouillard, Tristan Deleu, Simon Lacoste-Julien |