| Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 1337 | 2025 |
| Visualizing deep neural network decisions: Prediction difference analysis LM Zintgraf, TS Cohen, T Adel, M Welling The fifth International Conference on Learning Representations (ICLR 2017), 2017 | 1052* | 2017 |
| A practical guide to multi-objective reinforcement learning and planning CF Hayes, R Rădulescu, E Bargiacchi, J Källström, M Macfarlane, ... arXiv preprint arXiv:2103.09568, 2021 | 655 | 2021 |
| Fast Context Adaptation via Meta-Learning LM Zintgraf, K Shiarlis, V Kurin, K Hofmann, S Whiteson Thirty-sixth International Conference on Machine Learning (ICML 2019), 2018 | 559 | 2018 |
| Deep Variational Reinforcement Learning for POMDPs M Igl, L Zintgraf, TA Le, F Wood, S Whiteson Thirty-fifth International Conference on Machine Learning (ICML 2018), 2018 | 391 | 2018 |
| VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning L Zintgraf, K Shiarlis, M Igl, S Schulze, Y Gal, K Hofmann, S Whiteson International Conference on Learning Representations (ICLR) 2020, 2019 | 376 | 2019 |
| A survey of meta-reinforcement learning J Beck, R Vuorio, EZ Liu, Z Xiong, L Zintgraf, C Finn, S Whiteson arXiv preprint arXiv:2301.08028, 2023 | 296 | 2023 |
| Varibad: Variational bayes-adaptive deep rl via meta-learning L Zintgraf, S Schulze, C Lu, L Feng, M Igl, K Shiarlis, Y Gal, K Hofmann, ... Journal of Machine Learning Research 22 (289), 1-39, 2021 | 91 | 2021 |
| Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making LM Zintgraf, DM Roijers, S Linders, CM Jonker, A Nowé 17th International Conference on Autonomous Agents and Multiagent Systems …, 2018 | 81 | 2018 |
| Deep Interactive Bayesian Reinforcement Learning via Meta-Learning L Zintgraf, S Devlin, K Ciosek, S Whiteson, K Hofmann AAMAS 2021 (Extended Abstract), 2021 | 73 | 2021 |
| Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning L Zintgraf, L Feng, C Lu, M Igl, K Hartikainen, K Hofmann, S Whiteson International Conference on Machine Learning (ICML) 2021, 2020 | 66 | 2020 |
| Prospect pruning: Finding trainable weights at initialization using meta-gradients M Alizadeh, SA Tailor, LM Zintgraf, J van Amersfoort, S Farquhar, ... International Conference on Learning Representations (ICLR) 2022, 2022 | 64 | 2022 |
| Orbit: A real-world few-shot dataset for teachable object recognition D Massiceti, L Zintgraf, J Bronskill, L Theodorou, MT Harris, E Cutrell, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 63 | 2021 |
| Quality assessment of MORL algorithms: A utility-based approach LM Zintgraf, TV Kanters, DM Roijers, F Oliehoek, P Beau Benelearn 2015: proceedings of the 24th annual machine learning conference …, 2015 | 57 | 2015 |
| Disability-first dataset creation: lessons from constructing a dataset for teachable object recognition with blind and low vision data collectors L Theodorou, D Massiceti, L Zintgraf, S Stumpf, C Morrison, E Cutrell, ... Proceedings of the 23rd International ACM SIGACCESS Conference on Computers …, 2021 | 47 | 2021 |
| Interactive thompson sampling for multi-objective multi-armed bandits DM Roijers, LM Zintgraf, A Nowé International conference on algorithmic decision theory, 18-34, 2017 | 46 | 2017 |
| Interpretation of microbiota-based diagnostics by explaining individual classifier decisions A Eck, LM Zintgraf, EFJ de Groot, TGJ de Meij, TS Cohen, PHM Savelkoul, ... BMC bioinformatics 18 (1), 441, 2017 | 39 | 2017 |
| A tutorial on meta-reinforcement learning J Beck, R Vuorio, E Zheran Liu, Z Xiong, L Zintgraf, C Finn, S Whiteson Foundations and Trends in Machine Learning 18 (2-3), 224-384, 2025 | 30 | 2025 |
| Interactive multi-objective reinforcement learning in multi-armed bandits for any utility function DM Roijers, LM Zintgraf, P Libin, A Nowé ALA workshop at FAIM 8, 2018 | 17 | 2018 |
| Communicating via markov decision processes S Sokota, CAS De Witt, M Igl, LM Zintgraf, P Torr, M Strohmeier, Z Kolter, ... International Conference on Machine Learning, 20314-20328, 2022 | 16 | 2022 |
Shimon WhitesonProfessor of Computer Science, University of Oxford / Senior Staff Research Scientist, WaymoVerified email at cs.ox.ac.uk
