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Jarrid Rector-Brooks
Jarrid Rector-Brooks
Université de Montréal, Mila, Caltech
Verified email at mila.quebec - Homepage
Title
Cited by
Cited by
Year
Improving and generalizing flow-based generative models with minibatch optimal transport
A Tong, K Fatras, N Malkin, G Huguet, Y Zhang, J Rector-Brooks, G Wolf, ...
arXiv preprint arXiv:2302.00482, 2023
672*2023
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
2472022
Se (3)-stochastic flow matching for protein backbone generation
AJ Bose, T Akhound-Sadegh, G Huguet, K Fatras, J Rector-Brooks, ...
arXiv preprint arXiv:2310.02391, 2023
1452023
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
1212023
Multi-objective gflownets
M Jain, SC Raparthy, A Hernández-Garcıa, J Rector-Brooks, Y Bengio, ...
International conference on machine learning, 14631-14653, 2023
1152023
DEUP: Direct epistemic uncertainty prediction
S Lahlou, M Jain, H Nekoei, VI Butoi, P Bertin, J Rector-Brooks, ...
arXiv preprint arXiv:2102.08501, 2021
1072021
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
942024
Sequence-augmented SE (3)-flow matching for conditional protein generation
G Huguet, J Vuckovic, K Fatras, E Thibodeau-Laufer, P Lemos, R Islam, ...
Advances in neural information processing systems 37, 33007-33036, 2024
822024
Deup: Direct epistemic uncertainty prediction
M Jain, S Lahlou, H Nekoei, VI Butoi, P Bertin, J Rector-Brooks, ...
572021
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, ...
Advances in neural information processing systems 37, 76080-76114, 2024
532024
Improved off-policy training of diffusion samplers
M Sendera, M Kim, S Mittal, P Lemos, L Scimeca, J Rector-Brooks, ...
Advances in Neural Information Processing Systems 37, 81016-81045, 2024
382024
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
342023
Path planning for masked diffusion model sampling
FZ Peng, Z Bezemek, S Patel, J Rector-Brooks, S Yao, AJ Bose, A Tong, ...
arXiv preprint arXiv:2502.03540, 2025
302025
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, ...
CoRR, 2024
262024
Steering masked discrete diffusion models via discrete denoising posterior prediction
J Rector-Brooks, M Hasan, Z Peng, Z Quinn, C Liu, S Mittal, N Dziri, ...
ICLR, 2024
252024
Improving and generalizing flow-based generative models with minibatch optimal transport (2024)
A Tong, K Fatras, N Malkin, G Huguet, Y Zhang, J Rector-Brooks, G Wolf, ...
arXiv preprint arXiv:2302.00482, 0
25
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
212023
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
202024
Adaptive teachers for amortized samplers
M Kim, S Choi, T Yun, E Bengio, L Feng, J Rector-Brooks, S Ahn, J Park, ...
arXiv preprint arXiv:2410.01432, 2024
152024
From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training
J Berner, L Richter, M Sendera, J Rector-Brooks, N Malkin
arXiv preprint arXiv:2501.06148, 2025
142025
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Articles 1–20