| Gemini: A family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 1488 | 2023 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 358 | 2024 |
| Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts? A Filos, P Tigas, R McAllister, N Rhinehart, S Levine, Y Gal Proceedings of the 37th International Conference on Machine Learning 119 …, 2020 | 208 | 2020 |
| Invariant Causal Prediction for Block MDPs A Zhang, C Lyle, S Sodhani, A Filos, M Kwiatkowska, J Pineau, Y Gal, ... Proceedings of the 37th International Conference on Machine Learning 119 …, 2020 | 150 | 2020 |
| A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks A Filos, S Farquhar, AN Gomez, TGJ Rudner, Z Kenton, L Smith, ... Bayesian Deep Learning Workshop, NeurIPS 2019., 2019 | 140* | 2019 |
| Uncertainty Baselines: Benchmarks for uncertainty & robustness in deep learning Z Nado, N Band, M Collier, J Djolonga, MW Dusenberry, S Farquhar, ... arXiv preprint arXiv:2106.04015, 2021 | 107 | 2021 |
| In-context Reinforcement Learning with Algorithm Distillation M Laskin, L Wang, J Oh, E Parisotto, S Spencer, R Steigerwald, ... arXiv preprint arXiv:2210.14215, 2022 | 85 | 2022 |
| Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks N Band, TGJ Rudner, Q Feng, A Filos, Z Nado, MW Dusenberry, G Jerfel, ... 35th Conference on Neural Information Processing Systems Datasets and …, 2021 | 49 | 2021 |
| Reinforcement Learning for Portfolio Management A Filos Imperial College London, 2019 | 44 | 2019 |
| QU-BraTS: MICCAI BraTS 2020 challenge on quantifying uncertainty in brain tumor segmentation-analysis of ranking scores and benchmarking results R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dätwyler, ... The journal of machine learning for biomedical imaging 2022, 2022 | 43 | 2022 |
| PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning A Filos, C Lyle, Y Gal, S Levine, N Jaques, G Farquhar Proceedings of the 38th International Conference on Machine Learning 139 …, 2021 | 30 | 2021 |
| Uncertainty Evaluation Metric for Brain Tumour Segmentation R Mehta, A Filos, Y Gal, T Arbel arXiv preprint arXiv:2005.14262, 2020 | 23 | 2020 |
| Generalizing from a few environments in safety-critical reinforcement learning Z Kenton, A Filos, O Evans, Y Gal Safe Machine Learning Workshop, ICLR 2019., 2019 | 16 | 2019 |
| Self-consistent models and values G Farquhar, K Baumli, Z Marinho, A Filos, M Hessel, HP van Hasselt, ... Advances in Neural Information Processing Systems 34, 1111-1125, 2021 | 14 | 2021 |
| Model-Value Inconsistency as a Signal for Epistemic Uncertainty A Filos, E Vértes, Z Marinho, G Farquhar, D Borsa, A Friesen, ... Proceedings of the 39th International Conference on Machine Learning 162 …, 2022 | 10 | 2022 |
| Composing Task Knowledge with Modular Successor Feature Approximators W Carvalho, A Filos, RL Lewis, S Singh arXiv preprint arXiv:2301.12305, 2023 | 9 | 2023 |
| On the Importance of Opponent Modeling in Auction Markets M Mahfouz, A Filos, C Chtourou, J Lockhart, S Assefa, M Veloso, ... Robust AI in Financial Services Workshop, NeurIPS 2019., 2019 | 5 | 2019 |
| Combining Behaviors with the Successor Features Keyboard WC Carvalho, A Saraiva, A Filos, A Lampinen, L Matthey, RL Lewis, ... Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages A Jesson, C Lu, G Gupta, A Filos, JN Foerster, Y Gal arXiv preprint arXiv:2306.01460, 2023 | 3 | 2023 |
| Planning with learned ignorance-aware models A Filos University of Oxford, 2022 | | 2022 |
Yarin GalAssociate Professor, University of OxfordVerified email at cs.ox.ac.uk
