| The StarCraft Multi-Agent Challenge M Samvelyan, T Rashid, C Schroeder de Witt, G Farquhar, N Nardelli, ... Proceedings of the International Conference on Autonomous Agents and Multi …, 2019 | 1126 | 2019 |
| A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks A Filos, S Farquhar, AN Gomez, TGJ Rudner, Z Kenton, L Smith, ... Technical Report, 2019 | 146* | 2019 |
| MultiNet: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery TGJ Rudner, M Rußwurm, J Fil, R Pelich, B Bischke, V Kopackova, ... Proceedings of the AAAI Conference on Artificial Intelligence, 2019 | 133 | 2019 |
| Plex: Towards Reliability using Pretrained Large Model Extensions D Tran, J Liu, MW Dusenberry, D Phan, M Collier, J Ren, K Han, Z Wang, ... ICML Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward, 2022 | 121 | 2022 |
| Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning Z Nado, N Band, M Collier, J Djolonga, MW Dusenberry, S Farquhar, ... Technical Report, 2021 | 111 | 2021 |
| Protein Design with Guided Discrete Diffusion N Gruver, S Stanton, NC Frey, TGJ Rudner, I Hotzel, J Lafrance-Vanasse, ... Advances in Neural Information Processing Systems (NeurIPS), 2023 | 93 | 2023 |
| Tractable Function-Space Variational Inference in Bayesian Neural Networks TGJ Rudner, Z Chen, YW Teh, Y Gal Advances in Neural Information Processing Systems (NeurIPS), 2022 | 60* | 2022 |
| VIREL: A Variational Inference Framework for Reinforcement Learning M Fellows, A Mahajan, TGJ Rudner, S Whiteson Advances in Neural Information Processing Systems (NeurIPS), 2019 | 60 | 2019 |
| Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks N Band, TGJ Rudner, Q Feng, A Filos, Z Nado, MW Dusenberry, G Jerfel, ... Advances in Neural Information Processing Systems (NeurIPS), 2021 | 54 | 2021 |
| Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations C Lu, PJ Ball, TGJ Rudner, J Parker-Holder, MA Osborne, YW Teh Transactions on Machine Learning Research (TMLR), 2023 | 41 | 2023 |
| Continual Learning via Sequential Function-Space Variational Inference TGJ Rudner, FB Smith, Q Feng, YW Teh, Y Gal Proceedings of the International Conference on Machine Learning (ICML), 2022 | 39 | 2022 |
| Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI T Papamarkou, M Skoularidou, K Palla, L Aitchison, J Arbel, D Dunson, ... Proceedings of the International Conference on Machine Learning (ICML), 2024 | 29* | 2024 |
| On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations TGJ Rudner, C Lu, MA Osborne, Y Gal, YW Teh Advances in Neural Information Processing Systems (NeurIPS), 2021 | 27 | 2021 |
| An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization R Shwartz-Ziv, R Balestriero, K Kawaguchi, TGJ Rudner, Y LeCun Advances in Neural Information Processing Systems (NeurIPS), 2023 | 26* | 2023 |
| A Study of Bayesian Neural Network Surrogates for Bayesian Optimization YL Li, TGJ Rudner, AG Wilson International Conference on Learning Representations (ICLR), 2024 | 18 | 2024 |
| Key Concepts in AI Safety: An Overview TGJ Rudner, H Toner Georgetown University Center for Security & Emerging Technology Issue Briefs, 2021 | 17 | 2021 |
| Outcome-Driven Reinforcement Learning via Variational Inference TGJ Rudner, VH Pong, R McAllister, Y Gal, S Levine Advances in Neural Information Processing Systems (NeurIPS), 2021 | 15 | 2021 |
| Key Concepts in AI Safety: Robustness and Adversarial Examples TGJ Rudner, H Toner Georgetown University Center for Security & Emerging Technology Issue Briefs, 2021 | 15 | 2021 |
| On the Connection between Neural Processes and Gaussian Processes with Deep Kernels TGJ Rudner, V Fortuin, YW Teh, Y Gal NeurIPS Workshop on Bayesian Deep Learning, 2018 | 15 | 2018 |
| Non-vacuous Generalization Bounds for Large Language Models S Lotfi, M Finzi, Y Kuang, TGJ Rudner, M Goldblum, AG Wilson Proceedings of the International Conference on Machine Learning (ICML), 2024 | 14 | 2024 |
Yarin GalAssociate Professor, University of OxfordVerified email at cs.ox.ac.uk
