| HERWIG++ 2.6 release note K Arnold, L d'Errico, S Gieseke, D Grellscheid, K Hamilton, ... arXiv preprint arXiv:1205.4902, 2012 | 91 | 2012 |
| Tracking New Physics at the LHC and beyond M Spannowsky, M Stoll Physical Review D 92 (5), 054033, 2015 | 23 | 2015 |
| From prediction to planning with goal conditioned lane graph traversals M Hallgarten, M Stoll, A Zell 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 20 | 2023 |
| Reconstruction of vectorlike top partner from fully hadronic final states M Endo, K Hamaguchi, K Ishikawa, M Stoll Physical Review D 90 (5), 055027, 2014 | 17 | 2014 |
| Vetoed jet clustering: The mass-jump algorithm M Stoll Journal of High Energy Physics 2015 (4), 1-15, 2015 | 16 | 2015 |
| Rethinking integration of prediction and planning in deep learning-based automated driving systems: a review S Hagedorn, M Hallgarten, M Stoll, A Condurache arXiv preprint arXiv:2308.05731, 2023 | 15 | 2023 |
| Stay on track: A frenet wrapper to overcome off-road trajectories in vehicle motion prediction M Hallgarten, I Kisa, M Stoll, A Zell 2024 IEEE Intelligent Vehicles Symposium (IV), 795-802, 2024 | 7 | 2024 |
| How to decontaminate overlapping fat jets K Hamaguchi, SP Liew, M Stoll Physical Review D 92 (1), 015012, 2015 | 6 | 2015 |
| Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios? M Hallgarten, J Zapata, M Stoll, K Renz, A Zell arXiv preprint arXiv:2404.07569, 2024 | 3 | 2024 |
| Scaling Planning for Automated Driving using Simplistic Synthetic Data M Stoll, M Mazzola, M Dolgov, J Mathes, N Möser arXiv preprint arXiv:2305.18942, 2023 | 3 | 2023 |
| Full electric helicopter anti-torque M Stoll, UTP Arnold, C Hupfer, C Stuckmann, S Bichlmaier, M Mindt, ... 48th European Rotorcraft Forum, 2022 | 2 | 2022 |
| The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review S Hagedorn, M Hallgarten, M Stoll, AP Condurache IEEE Transactions on Intelligent Vehicles, 2024 | | 2024 |
| Method for Behavior Planning of an Ego Vehicle as Part of a Traffic Scene J Mathes, M Mazzola, M Stoll, M Dolgov US Patent App. 18/441,846, 2024 | | 2024 |
| Computer-implemented method for behavior planning of an at least partially automated ego vehicle with a specified navigation destination M Hallgarten, M Stoll US Patent App. 18/406,737, 2024 | | 2024 |
| Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios? A Zell, K Renz, M Stoll, J Zapata, M Hallgarten arXiv, 2024 | | 2024 |
| System Safety Assessment and Condition Monitoring for an Electric Power Train in a Tail Rotor S Hibler, M Stoll, F Thielecke Deutsche Gesellschaft für Luft-und Raumfahrt-Lilienthal-Oberth eV, 2024 | | 2024 |
| Selection of Driving Maneuvers for at Least Semi-Autonomously Driving Vehicles F Schmitt, M Stoll, J Goth, HA Banzhaf, JM Doellinger, M Hanselmann US Patent App. 18/255,849, 2024 | | 2024 |
| Dynamics-Dependent Behavioral Planning for at least Partially Self-Driving Vehicles SJ Etesami, M Stoll US Patent App. 18/252,457, 2024 | | 2024 |
| Kinematic reconstruction of vectorlike tops from fully hadronic events M Stoll Nuclear and particle physics proceedings 273, 535-540, 2016 | | 2016 |
| New methods for top quark identification and reconstruction at hadron colliders M Stoll University of Tokyo (東京大学), 2015 | | 2015 |
