| Hydrodynamics of quenching with impinging free-surface jet N Karwa, L Schmidt, P Stephan International Journal of Heat and Mass Transfer 55 (13-14), 3677-3685, 2012 | 72 | 2012 |
| Can you trust your autonomous car? interpretable and verifiably safe reinforcement learning LM Schmidt, G Kontes, A Plinge, C Mutschler 2021 IEEE Intelligent Vehicles Symposium (IV), 171-178, 2021 | 47 | 2021 |
| An introduction to multi-agent reinforcement learning and review of its application to autonomous mobility LM Schmidt, J Brosig, A Plinge, BM Eskofier, C Mutschler 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 41 | 2022 |
| You'll never share alone: Analyzing carsharing user group behavior F Baumgarte, T Brandt, R Keller, F Röhrich, L Schmidt Transportation Research Part D: Transport and Environment 93, 102754, 2021 | 28 | 2021 |
| Clustering of particles in turbulence due to phoresis L Schmidt, I Fouxon, D Krug, M van Reeuwijk, M Holzner Physical Review E 93 (6), 063110, 2016 | 17 | 2016 |
| Inertial particles distribute in turbulence as Poissonian points with random intensity inducing clustering and supervoiding L Schmidt, I Fouxon, M Holzner Physical Review Fluids 2 (7), 074302, 2017 | 13 | 2017 |
| Sustainability's Coming Home: Preliminary Design Principles for the Sustainable Smart District R Keller, F Röhrich, L Schmidt, G Fridgen Internationale Tagung Wirtschaftsinformatik, 2019 | 8 | 2019 |
| Inhomogeneous growth of fluctuations of concentration of inertial particles in channel turbulence I Fouxon, L Schmidt, P Ditlevsen, M van Reeuwijk, M Holzner Physical Review Fluids 3 (6), 064301, 2018 | 8 | 2018 |
| How to learn from risk: Explicit risk-utility reinforcement learning for efficient and safe driving strategies LM Schmidt, S Rietsch, A Plinge, BM Eskofier, C Mutschler 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 6 | 2022 |
| Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series C Löffler, WC Lai, B Eskofier, D Zanca, L Schmidt, C Mutschler arXiv preprint arXiv:2203.07861, 2022 | 5 | 2022 |
| AI-based Technologies for Conversational Agent Design–Development Tools and Architectures for Intelligent Interactions T Strohmann, B Khosrawi-Rad, L Schmidt, P Hiske | 2 | 2023 |
| Distribution-specific augmentation for domain generalization T Goerttler, L Schmidt, K Obermayer International Congress on Information and Communication Technology, 201-214, 2024 | 1 | 2024 |
| Data Annotation for Support Ticket Data: A Literature Review S Fuchs, J Schnellbach, L Schmidt, H Wittges | 1 | 2024 |
| Phoresis-induced clustering of particles in turbulence L Schmidt, I Fouxon, D Krug, M van Reeuwijk, M Holzner APS Division of Fluid Dynamics Meeting Abstracts, G3. 009, 2015 | 1 | 2015 |
| Optimization of 3-D flight trajectory of variable trim kites for airborne wind energy production R Noga, X Paulig, L Schmidt, B Karg, M Quack, M Soliman arXiv preprint arXiv:2403.00382, 2024 | | 2024 |
| Distribution-Specific Augmentation T Goerttler, L Schmidt, K Obermayer Proceedings of Ninth International Congress on Information and Communication …, 2024 | | 2024 |
| Inhomogeneous preferential concentration of inertial particles in turbulent channel flow L Schmidt, I Fouxon, P Ditlevsen, M Holzner arXiv preprint arXiv:1702.01438, 2017 | | 2017 |
| Clustering of phoretic and inertial particles in uniform and non-uniform turbulence L Schmidt ETH Zurich, 2017 | | 2017 |
| On phoretic clustering of particles in turbulence L Schmidt, I Fouxon, D Krug, M van Reeuwijk, M Holzner arXiv preprint arXiv:1510.02687, 2015 | | 2015 |
| Clustering of particles driven by salinity gradients in turbulence L Schmidt, I Fouxon, D Krug, M Holzner | | 2015 |
