Publications d'Jarrid Rector-Brooks
Activité
- Étudiant à la maitrise: sept. 2021 - sept. 2022
Articles de conférence et de revue
2024
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Learning Conditional Policies for Crystal Design Using Offline Reinforcement Learning
Prashant Govindarajan, Santiago Miret, Jarrid Rector-Brooks, Mariano Phielipp, Janarthanan Rajendran et Sarath Chandar
Digital Discovery Journal, 2024.
#RL
[paper]
2023
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DEUP: Direct Epistemic Uncertainty Prediction
Moksh Jain, Salem Lahlou, Hadi Nekoei, Victor Butoi, Paul Bertin, Jarrid Rector-Brooks, Maksym Korablyov et Yoshua Bengio
Transactions on Machine Learning Research (TMLR), 2023.
#DL
[openreview], [arXiv], [code]
2022
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Biological Sequence Design with GFlowNets
Moksh Jain, Emmanuel Bengio, Alex-Hernandez Garcia, Jarrid Rector-Brooks, Bonaventure F. P. Dossou, Chanakya Ekbote, Jie Fu, Tianyu Zhang, Micheal Kilgour, Dinghuai Zhang, Lena Simine, Payel Das et Yoshua Bengio
International Conference on Machine Learning (ICML), 2022.
#DL
[pmlr], [arXiv], [code]