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Author’s Latest Publications
- research-article
Flow network based generative models for non-iterative diverse candidate generation
December 2021NIPS '21: Proceedings of the 35th International Conference on Neural Information Processing Systems - research-article
Trajectory balance: improved credit assignment in GFlowNets
November 2022NIPS '22: Proceedings of the 36th International Conference on Neural Information Processing Systems - research-article
Stochastic generative flow networks
July 2023UAI '23: Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence - research-article
Learning GFlowNets from partial episodes for improved convergence and stability
- Kanika Madan,
- Jarrid Rector-Brooks,
- Maksym Korablyov,
- Emmanuel Bengio,
- Moksh Jain,
- Andrei Nica,
- Tom Bosc,
- Yoshua Bengio,
- Nikolay Malkin
July 2023ICML'23: Proceedings of the 40th International Conference on Machine Learning - research-article
GFlowOut: dropout with generative flow networks
- Dianbo Liu,
- Moksh Jain,
- Bonaventure F. P. Dossou,
- Qianli Shen,
- Salem Lahlou,
- Anirudh Goyal,
- Nikolay Malkin,
- Chris C. Emezue,
- Dinghuai Zhang,
- Nadhir Hassen,
- Xu Ji,
- Kenji Kawaguchi,
- Yoshua Bengio
July 2023ICML'23: Proceedings of the 40th International Conference on Machine Learning - research-article
Multi-objective GFlowNets
- Moksh Jain,
- Sharath Chandra Raparthy,
- Alex Hernandez-Garcia,
- Jarrid Rector-Brooks,
- Yoshua Bengio,
- Santiago Miret,
- Emmanuel Bengio
July 2023ICML'23: Proceedings of the 40th International Conference on Machine Learning