Simulation of RPDEVS Models of Logic Gates. - Christian Fiedler; Franz Josef Preyser; Wolfgang Kastner (Simul. Notes Eur., 2019)

A Kernel Two-sample Test for Dynamical Systems. - Friedrich Solowjow; Dominik Baumann; Christian Fiedler; Andreas Jocham; Thomas Seel; Sebastian Trimpe (CoRR, 2020)

Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression. - Christian Fiedler; Carsten W. Scherer; Sebastian Trimpe (AAAI, 2021)

Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees. - Christian Fiedler; Carsten W. Scherer; Sebastian Trimpe (CDC, 2021)

Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples. - Christian Fiedler; Massimo Fornasier; Timo Klock; Michael Rauchensteiner (CoRR, 2021)

Learning Functions and Uncertainty Sets Using Geometrically Constrained Kernel Regression. - Christian Fiedler; Carsten W. Scherer; Sebastian Trimpe (CDC, 2022)

Revisiting the derivation of stage costs in infinite horizon discrete-time optimal control. - Christian Fiedler; Sebastian Trimpe (MED, 2022)

On kernel-based statistical learning theory in the mean field limit. - Christian Fiedler; Michael Herty; Sebastian Trimpe (NeurIPS, 2023)

Reproducing kernel Hilbert spaces in the mean field limit. - Christian Fiedler; Michael Herty; Michael Rom; Chiara Segala; Sebastian Trimpe (CoRR, 2023)

On kernel-based statistical learning in the mean field limit. - Christian Fiedler; Michael Herty; Sebastian Trimpe (CoRR, 2023)

Lipschitz and Hölder Continuity in Reproducing Kernel Hilbert Spaces. - Christian Fiedler (CoRR, 2023)

Automatic nonlinear MPC approximation with closed-loop guarantees. - Abdullah Tokmak; Christian Fiedler; Melanie N. Zeilinger; Sebastian Trimpe; Johannes Köhler 001 (CoRR, 2023)

Mean-Field Limits for Discrete-Time Dynamical Systems via Kernel Mean Embeddings. - Christian Fiedler; Michael Herty; Sebastian Trimpe (IEEE Control. Syst. Lett., 2023)

Analysis of EMPC Schemes Without Terminal Constraints via Local Incremental Stabilizability. - Christian Fiedler; Sebastian Trimpe (ECC, 2024)

On Statistical Learning Theory for Distributional Inputs. - Christian Fiedler; Pierre-François Massiani; Friedrich Solowjow; Sebastian Trimpe (ICML, 2024)

On Safety in Safe Bayesian Optimization. - Christian Fiedler; Johanna Menn; Lukas Kreisköther; Sebastian Trimpe (Trans. Mach. Learn. Res., 2024)

Safety in safe Bayesian optimization and its ramifications for control. - Christian Fiedler; Johanna Menn; Sebastian Trimpe (CoRR, 2025)

A kernel conditional two-sample test. - Pierre-François Massiani; Christian Fiedler; Lukas Haverbeck; Friedrich Solowjow; Sebastian Trimpe (CoRR, 2025)

Neural network-based localization of spherical MRI markers. - Christian Fiedler; Silke Kolbig (Signal Image Video Process., 2025)