| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, S Yang, T Lillicrap, ... arXiv preprint arXiv:2403.05530, 2024 | 3221 | 2024 |
| Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 1337 | 2025 |
| Learning Universal Policies via Text-Guided Video Generation Y Du*, S Yang*, B Dai, H Dai, O Nachum, J Tenenbaum, D Schuurmans, ... Advances in Neural Information Processing Systems 36, 2023 | 392 | 2023 |
| Video Language Planning Y Du, S Yang, P Florence, F Xia, A Wahid, B Ichter, P Sermanet, T Yu, ... arXiv:2310.10625 Search..., 2023 | 355* | 2023 |
| Learning Interactive Real-World Simulators S Yang, Y Du, K Ghasemipour, J Tompson, L Kaelbling, D Schuurmans, ... International Conference on Learning Representations 2024, 2023 | 332* | 2023 |
| Multi-game decision transformers KH Lee, O Nachum, S Yang, L Lee, D Freeman, S Guadarrama, I Fischer, ... Advances in Neural Information Processing Systems 35, 27921-27936, 2022 | 328 | 2022 |
| Graphit: A high-performance graph dsl Y Zhang, S Yang, R Baghdadi, S Kamil, J Shun, S Amarasinghe Proceedings of the ACM on Programming Languages 2 (OOPSLA), 1-30, 2018 | 291* | 2018 |
| Foundation models for decision making: Problems, methods, and opportunities S Yang, O Nachum, Y Du, J Wei, P Abbeel, D Schuurmans arXiv preprint arXiv:2303.04129, 2023 | 266 | 2023 |
| Benchmarking attribution methods with relative feature importance M Yang, B Kim arXiv preprint arXiv:1907.09701, 2019 | 191* | 2019 |
| Representation Matters: Offline Pretraining for Sequential Decision Making S Yang, O Nachum International Conference on Machine Learning 139, 11784-11794, 2021 | 162 | 2021 |
| Offline RL for Natural Language Generation with Implicit Language Q Learning C Snell, I Kostrikov, Y Su, S Yang, S Levine International Conference on Learning Representations 2023, 2022 | 156 | 2022 |
| Off-policy evaluation via the regularized lagrangian S Yang, O Nachum, B Dai, L Li, D Schuurmans Advances in Neural Information Processing Systems 33, 2020 | 145 | 2020 |
| Benchmarks for Deep Off-Policy Evaluation J Fu, M Norouzi, O Nachum, G Tucker, Z Wang, A Novikov, S Yang, ... International Conference on Learning Representations, 2021 | 122 | 2021 |
| Combiner: Full Attention Transformer with Sparse Computation Cost H Ren, H Dai, Z Dai, S Yang, J Leskovec, D Schuurmans, B Dai Advances in Neural Information Processing Systems 33, 2021 | 103 | 2021 |
| Scalable diffusion for materials generation S Yang, KH Cho, A Merchant, P Abbeel, D Schuurmans, I Mordatch, ... International Conference on Learning Representations 2024, 2023 | 95 | 2023 |
| Video as the New Language for Real-World Decision Making S Yang, J Walker, J Parker-Holder, Y Du, J Bruce, A Barreto, P Abbeel, ... 2024 International Conference on Machine Learning, 2024 | 77* | 2024 |
| Value-incentivized preference optimization: A unified approach to online and offline rlhf S Cen, J Mei, K Goshvadi, H Dai, T Yang, S Yang, D Schuurmans, Y Chi, ... arXiv preprint arXiv:2405.19320, 2024 | 71 | 2024 |
| Making linear mdps practical via contrastive representation learning T Zhang, T Ren, S Yang, J Gonzalez, D Schuurmans, B Dai International Conference on Machine Learning, 26447-26466, 2022 | 67 | 2022 |
| Trail: Near-optimal imitation learning with suboptimal data S Yang, S Levine, O Nachum International Conference on Learning Representations, 2021 | 67 | 2021 |
| Dichotomy of control: Separating what you can control from what you cannot S Yang, D Schuurmans, P Abbeel, O Nachum International Conference on Learning Representations 2023, 2022 | 63 | 2022 |
Dale SchuurmansGoogle DeepMind & University of AlbertaVerified email at ualberta.ca
