| Practical and rigorous uncertainty bounds for gaussian process regression C Fiedler, CW Scherer, S Trimpe Proceedings of the AAAI conference on artificial intelligence 35 (8), 7439-7447, 2021 | 78 | 2021 |
| Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees C Fiedler, CW Scherer, S Trimpe 2021 60th IEEE Conference on Decision and Control (CDC), 5122-5129, 2021 | 19 | 2021 |
| A kernel two-sample test for dynamical systems F Solowjow, D Baumann, C Fiedler, A Jocham, T Seel, S Trimpe arXiv preprint arXiv:2004.11098, 2020 | 15 | 2020 |
| Stable recovery of entangled weights: Towards robust identification of deep neural networks from minimal samples C Fiedler, M Fornasier, T Klock, M Rauchensteiner Applied and Computational Harmonic Analysis 62, 123-172, 2023 | 13 | 2023 |
| On Safety in Safe Bayesian Optimization C Fiedler, J Menn, L Kreisköther, S Trimpe arXiv preprint arXiv:2403.12948, 2024 | 8 | 2024 |
| Reproducing kernel Hilbert spaces in the mean field limit C Fiedler, M Herty, M Rom, C Segala, S Trimpe Kinetic and Related Models 16 (6), 850-870, 2023 | 7 | 2023 |
| Automatic nonlinear MPC approximation with closed-loop guarantees A Tokmak, C Fiedler, MN Zeilinger, S Trimpe, J Köhler arXiv preprint arXiv:2312.10199, 2023 | 5 | 2023 |
| Lipschitz and H\" older Continuity in Reproducing Kernel Hilbert Spaces C Fiedler arXiv preprint arXiv:2310.18078, 2023 | 5 | 2023 |
| Learning Functions and Uncertainty Sets Using Geometrically Constrained Kernel Regression C Fiedler, CW Scherer, S Trimpe 2022 IEEE 61st Conference on Decision and Control (CDC), 2141-2146, 2022 | 4 | 2022 |
| On kernel-based statistical learning theory in the mean field limit C Fiedler, M Herty, S Trimpe Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Mean field limits for discrete-time dynamical systems via kernel mean embeddings C Fiedler, M Herty, S Trimpe IEEE Control Systems Letters, 2023 | 2 | 2023 |
| Learning deep neural networks with very few samples C Fiedler Master’s thesis, Technical University Munich, 2019 | 2 | 2019 |
| Safety in safe Bayesian optimization and its ramifications for control C Fiedler, J Menn, S Trimpe arXiv preprint arXiv:2501.13697, 2025 | | 2025 |
| Analysis of EMPC schemes without terminal constraints via local incremental stabilizability C Fiedler, S Trimpe 2024 European Control Conference (ECC), 1830-1836, 2024 | | 2024 |
| Recent kernel methods for interacting particle systems: first numerical results C Fiedler, M Herty, C Segala, S Trimpe European Journal of Applied Mathematics, 1-26, 2024 | | 2024 |
| On Statistical Learning Theory for Distributional Inputs C Fiedler, PF Massiani, F Solowjow, S Trimpe Forty-first International Conference on Machine Learning, 2024 | | 2024 |
| Reproducing Kernels in and for the Mean Field Limit C Fiedler, M Herty, S Trimpe International Workshop on Deep Learning and Kernel Machines (DEEPK 2024), 2024 | | 2024 |
| On kernel-based statistical learning in the mean field limit C Fiedler, M Herty, S Trimpe arXiv preprint arXiv:2310.18074, 2023 | | 2023 |
| Revisiting the derivation of stage costs in infinite horizon discrete-time optimal control C Fiedler, S Trimpe 2022 30th Mediterranean Conference on Control and Automation (MED), 211-216, 2022 | | 2022 |
| Theorie und Anwendung dissipativer Systeme bei der Stabilisierung nichtlinearer Kontrollsysteme C Fiedler Bachelor's Thesis, University of Bayreuth, 2015 | | 2015 |
Sebastian TrimpeProfessor, RWTH Aachen UniversityBestätigte E-Mail-Adresse bei dsme.rwth-aachen.de
