| Flow network based generative models for non-iterative diverse candidate generation E Bengio, M Jain, M Korablyov, D Precup, Y Bengio Advances in Neural Information Processing Systems 34, 27381-27394, 2021 | 183 | 2021 |
| DROCC: Deep robust one-class classification S Goyal, A Raghunathan, M Jain, HV Simhadri, P Jain International Conference on Machine Learning, 3711-3721, 2020 | 161 | 2020 |
| 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 | 102 | 2022 |
| Trajectory balance: Improved credit assignment in gflownets N Malkin, M Jain, E Bengio, C Sun, Y Bengio Advances in Neural Information Processing Systems 35, 5955-5967, 2022 | 78 | 2022 |
| Deup: Direct epistemic uncertainty prediction S Lahlou*, M Jain*, H Nekoei, VI Butoi, P Bertin, J Rector-Brooks, ... Transactions on Machine Learning Research, 2023 | 76 | 2023 |
| EdgeML: Machine Learning for resource-constrained edge devices DK Dennis, Y Gaurkar, S Gopinath, S Goyal, C Gupta, M Jain, S Jaiswal, ... URL https://github. com/Microsoft/EdgeML, 2020 | 39 | 2020 |
| 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 | 37 | 2023 |
| Multi-objective gflownets M Jain, SC Raparthy, A Hernández-Garcıa, J Rector-Brooks, Y Bengio, ... International Conference on Machine Learning, 14631-14653, 2023 | 34 | 2023 |
| GFlowNets for AI-driven scientific discovery M Jain, T Deleu, J Hartford, CH Liu, A Hernandez-Garcia, Y Bengio Digital Discovery 2 (3), 557-577, 2023 | 25 | 2023 |
| GFlowNet-EM for learning compositional latent variable models EJ Hu, N Malkin, M Jain, KE Everett, A Graikos, Y Bengio International Conference on Machine Learning, 13528-13549, 2023 | 22 | 2023 |
| Stochastic generative flow networks L Pan, D Zhang, M Jain, L Huang, Y Bengio Uncertainty in Artificial Intelligence, 1628-1638, 2023 | 15 | 2023 |
| Evaluating Generalization in GFlowNets for Molecule Design AC Nica, M Jain, E Bengio, CH Liu, M Korablyov, MM Bronstein, Y Bengio ICLR2022 Machine Learning for Drug Discovery, 2022 | 14 | 2022 |
| Gflowout: Dropout with generative flow networks D Liu, M Jain, BFP Dossou, Q Shen, S Lahlou, A Goyal, N Malkin, ... International Conference on Machine Learning, 21715-21729, 2023 | 10 | 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 | 10 | 2023 |
| Amortizing intractable inference in large language models EJ Hu, M Jain, E Elmoznino, Y Kaddar, G Lajoie, Y Bengio, N Malkin arXiv preprint arXiv:2310.04363, 2023 | 5 | 2023 |
| Multi-Fidelity Active Learning with GFlowNets A Hernandez-Garcia, N Saxena, M Jain, CH Liu, Y Bengio arXiv preprint arXiv:2306.11715, 2023 | 4 | 2023 |
| Proximal Policy Optimization for Improved Convergence in IRGAN M Jain SGO & ML, NeurIPS 2019, 2019 | 4* | 2019 |
| BatchGFN: Generative Flow Networks for Batch Active Learning SA Malik, S Lahlou, A Jesson, M Jain, N Malkin, T Deleu, Y Bengio, Y Gal arXiv preprint arXiv:2306.15058, 2023 | 3 | 2023 |
| A community effort in SARS‐CoV‐2 drug discovery J Schimunek, P Seidl, K Elez, T Hempel, T Le, F Noé, S Olsson, L Raich, ... Molecular Informatics 43 (1), e202300262, 2024 | 2 | 2024 |
| PhyloGFN: Phylogenetic inference with generative flow networks M Zhou, Z Yan, E Layne, N Malkin, D Zhang, M Jain, M Blanchette, ... arXiv preprint arXiv:2310.08774, 2023 | 2 | 2023 |
