Jarrid Rector-Brooks
Jarrid Rector-Brooks
PhD Student, Mila, Dreamfold
Verified email at - Homepage
Cited by
Cited by
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
Improving and generalizing flow-based generative models with minibatch optimal transport
A Tong, N Malkin, G Huguet, Y Zhang, J Rector-Brooks, K Fatras, G Wolf, ...
arXiv preprint arXiv:2302.00482, 2023
Deup: Direct epistemic uncertainty prediction
S Lahlou, M Jain, H Nekoei, VI Butoi, P Bertin, J Rector-Brooks, ...
arXiv preprint arXiv:2102.08501, 2021
Multi-objective gflownets
M Jain, SC Raparthy, A Hernández-Garcıa, J Rector-Brooks, Y Bengio, ...
International conference on machine learning, 14631-14653, 2023
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
Se (3)-stochastic flow matching for protein backbone generation
AJ Bose, T Akhound-Sadegh, K Fatras, G Huguet, J Rector-Brooks, ...
arXiv preprint arXiv:2310.02391, 2023
Thompson sampling for improved exploration in gflownets
J Rector-Brooks, K Madan, M Jain, M Korablyov, CH Liu, S Chandar, ...
arXiv preprint arXiv:2306.17693, 2023
Recover: sequential model optimization platform for combination drug repurposing identifies novel synergistic compounds in vitro
P Bertin, J Rector-Brooks, D Sharma, T Gaudelet, A Anighoro, T Gross, ...
arXiv preprint arXiv:2202.04202, 2022
On diffusion models for amortized inference: Benchmarking and improving stochastic control and sampling
M Sendera, M Kim, S Mittal, P Lemos, L Scimeca, J Rector-Brooks, ...
arXiv preprint arXiv:2402.05098, 2024
Revisiting projection-free optimization for strongly convex constraint sets
J Rector-Brooks, JK Wang, B Mozafari
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1576-1583, 2019
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
T Akhound-Sadegh*, J Rector-Brooks*, AJ Bose*, S Mittal, P Lemos, ...
arXiv preprint arXiv:2402.06121, 2024
RECOVER identifies synergistic drug combinations in vitro through sequential model optimization
P Bertin, J Rector-Brooks, D Sharma, T Gaudelet, A Anighoro, T Gross, ...
Cell Reports Methods 3 (10), 2023
Molecular fragment-based diffusion model for drug discovery
D Levy, J Rector-Brooks
ICLR 2023-Machine Learning for Drug Discovery workshop, 2023
Generative Active Learning for the Search of Small-molecule Protein Binders
M Korablyov, CH Liu, M Jain, AM van der Sloot, E Jolicoeur, E Ruediger, ...
arXiv preprint arXiv:2405.01616, 2024
Sequence-Augmented SE (3)-Flow Matching For Conditional Protein Backbone Generation
G Huguet, J Vuckovic, K Fatras, E Thibodeau-Laufer, P Lemos, R Islam, ...
arXiv preprint arXiv:2405.20313, 2024
Behavioral cloning for crystal design
P Govindarajan, S Miret, J Rector-Brooks, M Phielipp, J Rajendran, ...
Workshop on''Machine Learning for Materials''ICLR 2023, 2023
Integrating Generative and Experimental Platforms or Biomolecular Design
CH Liu, J Rector-Brooks, J Yim, S Yang, S Lisanza, FZ Li, P Chatterjee, ...
ICLR 2024 Workshops, 0
Amortizing intractable inference in diffusion models for vision, language, and control
S Venkatraman, M Jain, L Scimeca, M Kim, M Sendera, M Hasan, L Rowe, ...
arXiv preprint arXiv:2405.20971, 2024
Learning conditional policies for crystal design using offline reinforcement learning
P Govindarajan, S Miret, J Rector-Brooks, M Phielipp, J Rajendran, ...
Digital Discovery 3 (4), 769-785, 2024
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