| Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control G Gupta, K Yadav, Y Gal, D Batra, Z Kira, C Lu, TGJ Rudner First Workshop on Vision-Language Models for Navigation and Manipulation at …, 2024 | | 2024 |
| Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors TGJ Rudner, YS Zhang, AG Wilson, J Kempe International Conference on Artificial Intelligence and Statistics (AISTATS), 2024 | 1 | 2024 |
| A Study of Bayesian Neural Network Surrogates for Bayesian Optimization YL Li, TGJ Rudner, AG Wilson International Conference on Learning Representations (ICLR), 2024 | 10 | 2024 |
| Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI T Papamarkou, M Skoularidou, K Palla, L Aitchison, J Arbel, D Dunson, ... arXiv preprint arXiv:2402.00809, 2024 | 2 | 2024 |
| Non-vacuous Generalization Bounds for Large Language Models S Lotfi, M Finzi, Y Kuang, TGJ Rudner, M Goldblum, AG Wilson arXiv preprint arXiv:2312.17173, 2023 | 3 | 2023 |
| Should We Learn Most Likely Functions or Parameters? S Qiu*, TGJ Rudner*, S Kapoor*, AG Wilson Advances in Neural Information Processing Systems (NeurIPS), 2023 | 1 | 2023 |
| Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution Y Wang*, TGJ Rudner*, AG Wilson Advances in Neural Information Processing Systems (NeurIPS), 2023 | 1 | 2023 |
| 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 | 28 | 2023 |
| 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 | 14 | 2023 |
| Informative Priors Improve the Reliability of Multimodal Clinical Data Classification L Lopez, TGJ Rudner, FE Shamout arXiv preprint arXiv:2312.00794, 2023 | 1 | 2023 |
| Function-Space Regularization in Neural Networks: A Probabilistic Perspective TGJ Rudner, S Kapoor, S Qiu, AG Wilson Proceedings of the International Conference on Machine Learning (ICML), 2023 | 7 | 2023 |
| Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions L Klarner, TGJ Rudner, M Reutlinger, T Schindler, GM Morris, C Deane, ... Proceedings of the International Conference on Machine Learning (ICML), 2023 | 3 | 2023 |
| 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 | 31 | 2023 |
| Attacking Bayes: Are Bayesian Neural Networks Inherently Robust? Y Feng, TGJ Rudner, N Tsilivis, J Kempe Symposium on Advances in Approximate Bayesian Inference (AABI), 2023 | | 2023 |
| On Sequential Bayesian Inference for Continual Learning S Kessler, A Cobb, TGJ Rudner, S Zohren, SJ Roberts Entropy, 2023 | 4 | 2023 |
| Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? G Gupta, TGJ Rudner, RT McAllister, A Gaidon, Y Gal Proceedings of the Conference on Causal Learning and Reasoning (CLeaR), 2023 | 1 | 2023 |
| A Neural Tangent Kernel Perspective on Function-Space Regularization in Neural Networks Z Chen, X Shi, TGJ Rudner, Q Feng, W Zhang, T Zhang NeurIPS Workshop on Optimization for Machine Learning, 2022 | 1 | 2022 |
| 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 | 44* | 2022 |
| Plex: Towards Reliability using Pretrained Large Model Extensions D Tran, J Liu, MW Dusenberry, D Phan, M Collier, J Ren, K Han, Z Wang, ... arXiv preprint arXiv:2207.07411, 2022 | 90 | 2022 |
| 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 | 29 | 2022 |
Yarin GalAssociate Professor, University of OxfordVerified email at cs.ox.ac.uk
