| The total solar irradiance during the recent solar minimum period measured by SOHO/VIRGO W Finsterle, JP Montillet, W Schmutz, R Šikonja, L Kolar, L Treven Scientific reports 11 (1), 7835, 2021 | 36 | 2021 |
| Optimistic active exploration of dynamical systems B Sukhija, L Treven, C Sancaktar, S Blaes, S Coros, A Krause Advances in Neural Information Processing Systems 36, 38122-38153, 2024 | 31 | 2024 |
| Transductive active learning: Theory and applications J Hübotter, L Treven, Y As, A Krause Advances in Neural Information Processing Systems 37, 124686-124755, 2024 | 21* | 2024 |
| Efficient Exploration in Continuous-time Model-based Reinforcement Learning L Treven, J Hübotter, B Sukhija, F Dorfler, A Krause Advances in Neural Information Processing Systems 36, 2024 | 17 | 2024 |
| Learning stabilizing controllers for unstable linear quadratic regulators from a single trajectory L Treven, S Curi, M Mutný, A Krause Learning for dynamics and control, 664-676, 2021 | 17 | 2021 |
| Actsafe: Active exploration with safety constraints for reinforcement learning Y As, B Sukhija, L Treven, C Sferrazza, S Coros, A Krause arXiv preprint arXiv:2410.09486, 2024 | 11 | 2024 |
| Bridging the sim-to-real gap with Bayesian inference J Rothfuss, B Sukhija, L Treven, F Dörfler, S Coros, A Krause 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024 | 9 | 2024 |
| Neorl: Efficient exploration for nonepisodic rl L Treven, F Dorfler, S Coros, A Krause Advances in Neural Information Processing Systems 37, 74966-74998, 2024 | 7 | 2024 |
| When to sense and control? a time-adaptive approach for continuous-time RL L Treven, Y As, F Dorfler, A Krause Advances in Neural Information Processing Systems 37, 63654-63685, 2024 | 5 | 2024 |
| Active few-shot fine-tuning J Hübotter, B Sukhija, L Treven, Y As, A Krause arXiv preprint arXiv:2402.15441, 2024 | 5 | 2024 |
| Optimism via intrinsic rewards: Scalable and principled exploration for model-based reinforcement learning B Sukhija, L Treven, C Sferrazza, F Dorfler, P Abbeel, A Krause 7th Robot Learning Workshop: Towards Robots with Human-Level Abilities, 2025 | 4 | 2025 |
| Distributional gradient matching for learning uncertain neural dynamics models L Treven, P Wenk, F Dorfler, A Krause Advances in Neural Information Processing Systems 34, 29780-29793, 2021 | 3 | 2021 |
| SOMBRL: Scalable and Optimistic Model-Based RL B Sukhija, L Treven, C Sferrazza, F Dörfler, P Abbeel, A Krause arXiv preprint arXiv:2511.20066, 2025 | 1 | 2025 |
| Transductive active learning with application to safe bayesian optimization J Hübotter, B Sukhija, L Treven, Y As, A Krause ICML 2024 Workshop: Aligning Reinforcement Learning Experimentalists and …, 2024 | 1 | 2024 |
| Iterative Correction of Sensor Degradation and a Bayesian Multi-Sensor Data Fusion Method L Kolar, R Šikonja, L Treven arXiv preprint arXiv:2009.03091, 2020 | 1 | 2020 |
| Sample-efficient and Scalable Exploration in Continuous-Time RL K Iten, L Treven, B Sukhija, F Dörfler, A Krause arXiv preprint arXiv:2510.24482, 2025 | | 2025 |
| TARC: Time-Adaptive Robotic Control A Sukhija, L Treven, J Cheng, F Dörfler, S Coros, A Krause arXiv preprint arXiv:2510.23176, 2025 | | 2025 |
| Simulation Priors for Data-Efficient Deep Learning L Treven, B Sukhija, J Rothfuss, S Coros, F Dörfler, A Krause arXiv preprint arXiv:2509.05732, 2025 | | 2025 |
| Wide column stores L Treven | | 2019 |
| Metode podpornih vektorjev: delo diplomskega seminarja L Treven Univerza v Ljubljani, Fakulteta za matematiko in fiziko, 2018 | | 2018 |
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
