| Multi-objective gflownets M Jain, SC Raparthy, A Hernández-Garcıa, J Rector-Brooks, Y Bengio, ... International conference on machine learning, 14631-14653, 2023 | 33 | 2023 |
| Curriculum in Gradient-Based Meta-Reinforcement Learning B Mehta, T Deleu, SC Raparthy, CJ Pal, L Paull arXiv preprint arXiv:2002.07956, 2020 | 20 | 2020 |
| Compositional Attention: Disentangling Search and Retrieval S Mittal, SC Raparthy, I Rish, Y Bengio, G Lajoie arXiv preprint arXiv:2110.09419, 2021 | 17 | 2021 |
| ML reproducibility challenge 2021 K Sinha, J Dodge, S Luccioni, JZ Forde, SC Raparthy, J Pineau, R Stojnic ReScience C 8 (2), # 48, 2022 | 8 | 2022 |
| Generating automatic curricula via self-supervised active domain randomization SC Raparthy, B Mehta, F Golemo, L Paull arXiv preprint arXiv:2002.07911, 2020 | 8 | 2020 |
| Continual learning in environments with polynomial mixing times M Riemer, SC Raparthy, I Cases, G Subbaraj, M Puelma Touzel, I Rish Advances in Neural Information Processing Systems 35, 21961-21973, 2022 | 6 | 2022 |
| Data Efficient Stagewise Knowledge Distillation A Kulkarni, N Panchi, SC Raparthy, S Chiddarwar arXiv preprint arXiv:1911.06786, 2019 | 6 | 2019 |
| Generalization to New Sequential Decision Making Tasks with In-Context Learning SC Raparthy, E Hambro, R Kirk, M Henaff, R Raileanu arXiv preprint arXiv:2312.03801, 2023 | 4 | 2023 |
| A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning. M Godbout, M Heuillet, SC Raparthy, R Bhati, A Durand SafeAI@ AAAI, 2022 | 2 | 2022 |
| Teaching Large Language Models to Reason with Reinforcement Learning A Havrilla, Y Du, SC Raparthy, C Nalmpantis, J Dwivedi-Yu, ... arXiv preprint arXiv:2403.04642, 2024 | 1 | 2024 |
| GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements A Havrilla, S Raparthy, C Nalmpantis, J Dwivedi-Yu, M Zhuravinskyi, ... arXiv preprint arXiv:2402.10963, 2024 | 1 | 2024 |
| CuNAS Curiosity-driven Neural-Augmented Simulator SC Raparthy, M Mozifian, L Paull, F Golemo 2nd Workshop on Closing the Reality Gap in Sim2Real Transfer for Robotics. RSS, 2020 | 1 | 2020 |
| Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts M Samvelyan, SC Raparthy, A Lupu, E Hambro, AH Markosyan, M Bhatt, ... arXiv preprint arXiv:2402.16822, 2024 | | 2024 |
| Learning to Solve New sequential decision-making Tasks with In-Context Learning SC Raparthy, E Hambro, R Kirk, M Henaff, R Raileanu NeurIPS 2023 Foundation Models for Decision Making Workshop, 2023 | | 2023 |
| Explicit Sequence Proximity Models for Hidden State Identification TD Anil Kota, SC Raparthy, Parag Khanna Thirty-second Conference on Neural Information Processing Systems (NeurIPS …, 2018 | | 2018 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
