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
1146 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
148 * 2019 Multi TGJ Rudner, M Rußwurm, J Fil, R Pelich, B Bischke, V Kopackova, ...
Proceedings of the AAAI Conference on Artificial Intelligence, 2019
136 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
125 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
99 2023 VIREL: A Variational Inference Framework for Reinforcement Learning M Fellows, A Mahajan, TGJ Rudner, S Whiteson
Advances in Neural Information Processing Systems (NeurIPS), 2019
62 2019 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
61 * 2022 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
44 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
40 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
33 * 2024 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
28 * 2023 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 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 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
17 2021 Key Concepts in AI Safety: An Overview TGJ Rudner, H Toner
Georgetown University Center for Security & Emerging Technology Issue Briefs, 2021
17 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 OxfordZweryfikowany adres z cs.ox.ac.uk
