Angelos Filos
Angelos Filos
Google DeepMind, University of Oxford
Verified email at
Cited by
Cited by
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
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
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
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
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
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
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
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
Reinforcement Learning for Portfolio Management
A Filos
Imperial College London, 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
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
Uncertainty Evaluation Metric for Brain Tumour Segmentation
R Mehta, A Filos, Y Gal, T Arbel
arXiv preprint arXiv:2005.14262, 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
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
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
Composing Task Knowledge with Modular Successor Feature Approximators
W Carvalho, A Filos, RL Lewis, S Singh
arXiv preprint arXiv:2301.12305, 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
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
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
Planning with learned ignorance-aware models
A Filos
University of Oxford, 2022
The system can't perform the operation now. Try again later.
Articles 1–20