Moksh Jain
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
4
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Action abstractions for amortized sampling. | Oussama Boussif, Lna Nhale Ezzine, Joseph D. Viviano, Michal Koziarski, Moksh Jain, Nikolay Malkin, Emmanuel Bengio, Rim Assouel, Yoshua Bengio |
| 2025 | ICLR | Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning. | Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain |
| 2024 | ICLR | Amortizing intractable inference in large language models. | Edward J. Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin |
| 2024 | ICLR | Pre-Training and Fine-Tuning Generative Flow Networks. | Ling Pan, Moksh Jain, Kanika Madan, Yoshua Bengio |
| 2024 | ICLR | PhyloGFN: Phylogenetic inference with generative flow networks. | Ming-Yang Zhou, Zichao Yan, Elliot Layne, Nikolay Malkin, Dinghuai Zhang, Moksh Jain, Mathieu Blanchette, Yoshua Bengio |
| 2023 | ICML | GFlowNet-EM for Learning Compositional Latent Variable Models. | Edward J. Hu, Nikolay Malkin, Moksh Jain, Katie E. Everett, Alexandros Graikos, Yoshua Bengio |
| 2023 | ICML | Multi-Objective GFlowNets. | Moksh Jain, Sharath Chandra Raparthy, Alex Hernndez-Garca, Jarrid Rector-Brooks, Yoshua Bengio, Santiago Miret, Emmanuel Bengio |
| 2023 | ICML | GFlowOut: Dropout with Generative Flow Networks. | Dianbo Liu, Moksh Jain, Bonaventure F. P. Dossou, Qianli Shen, Salem Lahlou, Anirudh Goyal, Nikolay Malkin, Chris Chinenye Emezue, Dinghuai Zhang, Nadhir Hassen, Xu Ji, Kenji Kawaguchi, Yoshua Bengio |
| 2023 | ICML | Learning GFlowNets From Partial Episodes For Improved Convergence And Stability. | Kanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei Cristian Nica, Tom Bosc, Yoshua Bengio, Nikolay Malkin |
| 2023 | UAI | Stochastic Generative Flow Networks. | Ling Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio |
| 2022 | ICML | Biological Sequence Design with GFlowNets. | Moksh Jain, Emmanuel Bengio, Alex Hernndez-Garca, Jarrid Rector-Brooks, Bonaventure F. P. Dossou, Chanakya Ajit Ekbote, Jie Fu, Tianyu Zhang, Michael Kilgour, Dinghuai Zhang, Lena Simine, Payel Das, Yoshua Bengio |
| 2020 | COMAD | Improving Convergence in IRGAN with PPO. | Moksh Jain, S. Sowmya Kamath |
| 2020 | ICML | DROCC: Deep Robust One-Class Classification. | Sachin Goyal, Aditi Raghunathan, Moksh Jain, Harsha Vardhan Simhadri, Prateek Jain |