Publications d'Jarrid Rector-Brooks
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Jarrid Rector-Brooks
Co-superviseur: Yoshua Bengio
Domaines de recherche: apprentissage machine pour la recherche pharmaceutique, apprentissage machine pour le bien commun, Apprentissage profond par renforcement, Optimisation
Activité
- Étudiant au doctorat: sept. 2021 - maintenant
Prépublications
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RECOVER: Sequential Model Optimization Platform for Combination Drug Repurposing Identifies Novel Synergistic Compounds in vitro
Paul Bertin, Jarrid Rector-Brooks, Deepak Sharma, Thomas Gaudelet, Andrew Anighoro, Torsten Gross, Francisco Martínez-Peña, Eileen L. Tang, Suraj M S, Cristian Regep, Jeremy Hayter, Maksym Korablyov, Nicholas Valiante, Almer van der Sloot, Mike Tyers, Charles Roberts, Michael M. Bronstein, Luke L. Lairson, Jake P. Taylor-King et Yoshua Bengio
In arXiv, 2022.
#DL
[arXiv], [code]
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
[openreview]
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
[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
[arXiv], [code]