Christian Fiedler
Christian Fiedler
PhD student, Institute for Data Science in Mechanical Engineering, RWTH Aachen University
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
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
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
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
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
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
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
Lipschitz and H\" older Continuity in Reproducing Kernel Hilbert Spaces
C Fiedler
arXiv preprint arXiv:2310.18078, 2023
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
Automatic nonlinear MPC approximation with closed-loop guarantees
A Tokmak, C Fiedler, MN Zeilinger, S Trimpe, J Köhler
arXiv preprint arXiv:2312.10199, 2023
Mean field limits for discrete-time dynamical systems via kernel mean embeddings
C Fiedler, M Herty, S Trimpe
IEEE Control Systems Letters, 2023
On kernel-based statistical learning in the mean field limit
C Fiedler, M Herty, S Trimpe
arXiv preprint arXiv:2310.18074, 2023
Learning deep neural networks with very few samples
C Fiedler
Master’s thesis, Technical University Munich, 2019
On Safety in Safe Bayesian Optimization
C Fiedler, J Menn, L Kreisköther, S Trimpe
arXiv preprint arXiv:2403.12948, 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
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
Theorie und Anwendung dissipativer Systeme bei der Stabilisierung nichtlinearer Kontrollsysteme
C Fiedler
Bachelor's Thesis, University of Bayreuth, 2015
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–16