Sebastian Trimpe

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 187

Top Venues

Publications

Christian Fiedler, Sebastian Trimpe
Analysis of EMPC Schemes Without Terminal Constraints via Local Incremental Stabilizability. ECC (2024)
Noel Brindise, Andres Felipe Posada-Moreno, Cedric Langbort, Sebastian Trimpe
Pointwise-in-time diagnostics for reinforcement learning during training and runtime. L4DC (2024)
Shamil Mamedov, Andreas Rene Geist, Ruan Viljoen, Sebastian Trimpe, Jan Swevers
Learning deformable linear object dynamics from a single trajectory. CoRR (2024)
Antonia Holzapfel, Paul Brunzema, Sebastian Trimpe
Event-triggered safe Bayesian optimization on quadcopters. L4DC (2024)
Julian Dierkes, Emma Cramer, Holger H. Hoos, Sebastian Trimpe
Combining Automated Optimisation of Hyperparameters and Reward Shape. CoRR (2024)
Emma Cramer, Bernd Frauenknecht, Ramil Sabirov, Sebastian Trimpe
Contextualized Hybrid Ensemble Q-learning: Learning Fast with Control Priors. CoRR (2024)
Andres Felipe Posada-Moreno, Nikita Surya, Sebastian Trimpe
ECLAD: Extracting Concepts with Local Aggregated Descriptors. Pattern Recognit. 147 (2024)
Alexander von Rohr, David Stenger, Dominik Scheurenberg, Sebastian Trimpe
Local Bayesian optimization for controller tuning with crash constraints. Autom. 72 (4) (2024)
Katharina Ensinger, Sebastian Ziesche, Sebastian Trimpe
Learning Hybrid Dynamics Models with Simulator-Informed Latent States. AAAI (2024)
Henrik Hose, Alexander Gräfe, Sebastian Trimpe
Parameter-adaptive approximate MPC: Tuning neural-network controllers without retraining. L4DC (2024)
Emma Cramer, Jonas Reiher, Sebastian Trimpe
Tracking object positions in reinforcement learning: A metric for keypoint detection. L4DC (2024)
Guner Dilsad Er, Sebastian Trimpe, Michael Muehlebach
Distributed Event-Based Learning via ADMM. CoRR (2024)
Pierre-François Massiani, Sebastian Trimpe, Friedrich Solowjow
On the Consistency of Kernel Methods with Dependent Observations. CoRR (2024)
Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche, Sebastian Trimpe
Exact Inference for Continuous-Time Gaussian Process Dynamics. AAAI (2024)
Behnam Khojasteh, Friedrich Solowjow, Sebastian Trimpe, Katherine J. Kuchenbecker
Multimodal Multi-User Surface Recognition With the Kernel Two-Sample Test. IEEE Trans Autom. Sci. Eng. 21 (3) (2024)
Pierre-François Massiani, Mona Buisson-Fenet, Friedrich Solowjow, Florent Di Meglio, Sebastian Trimpe
Data-Driven Observability Analysis for Nonlinear Stochastic Systems. IEEE Trans. Autom. Control. 69 (6) (2024)
Christian Fiedler, Johanna Menn, Lukas Kreisköther, Sebastian Trimpe
On Safety in Safe Bayesian Optimization. CoRR (2024)
Lucas Rath, Alexander von Rohr, Andreas Schultze, Sebastian Trimpe, Burkhard Corves
Discovering Model Structure of Dynamical Systems with Combinatorial Bayesian Optimization. Trans. Mach. Learn. Res. 2024 (2024)
Henrik Hose, Alexander Gräfe, Sebastian Trimpe
Parameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Re-Training. CoRR (2024)
Paul Brunzema, Paul Kruse, Sebastian Trimpe
Neural processes with event triggers for fast adaptation to changes. L4DC (2024)
Bernd Frauenknecht, Artur Eisele, Devdutt Subhasish, Friedrich Solowjow, Sebastian Trimpe
Trust the Model Where It Trusts Itself - Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption. CoRR (2024)
Mona Buisson-Fenet, Valéry Morgenthaler, Sebastian Trimpe, Florent Di Meglio
Recognition Models to Learn Dynamics from Partial Observations with Neural ODEs. Trans. Mach. Learn. Res. 2023 (2023)
Alexander von Rohr, Dmitrii Likhachev, Sebastian Trimpe
Experience Transfer for Robust Direct Data-Driven Control. CoRR (2023)
Henrik Hose, Johannes Köhler, Melanie N. Zeilinger, Sebastian Trimpe
Approximate non-linear model predictive control with safety-augmented neural networks. CoRR (2023)
Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch, Michael Tiemann, Sebastian Trimpe
Combining Slow and Fast: Complementary Filtering for Dynamics Learning. CoRR (2023)
Emma Cramer, Jonas Reiher, Sebastian Trimpe
Tracking Object Positions in Reinforcement Learning: A Metric for Keypoint Detection (extended version). CoRR (2023)
Behnam Khojasteh, Friedrich Solowjow, Sebastian Trimpe, Katherine J. Kuchenbecker
Multimodal Multi-User Surface Recognition with the Kernel Two-Sample Test. CoRR (2023)
Christian Fiedler, Michael Herty, Michael Rom, Chiara Segala, Sebastian Trimpe
Reproducing kernel Hilbert spaces in the mean field limit. CoRR (2023)
Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control. ITSC (2023)
Andres Felipe Posada-Moreno, Kai Müller, Florian Brillowski, Friedrich Solowjow, Thomas Gries, Sebastian Trimpe
Scalable Concept Extraction in Industry 4.0. CoRR (2023)
Christian Fiedler, Michael Herty, Sebastian Trimpe
Mean-Field Limits for Discrete-Time Dynamical Systems via Kernel Mean Embeddings. IEEE Control. Syst. Lett. 7 (2023)
Lukas Kesper, Sebastian Trimpe, Dominik Baumann
Toward Multi-Agent Reinforcement Learning for Distributed Event-Triggered Control. CoRR (2023)
Andres Felipe Posada-Moreno, Kai Müller, Florian Brillowski, Friedrich Solowjow, Thomas Gries, Sebastian Trimpe
Scalable Concept Extraction in Industry 4.0. xAI (3) (2023)
Pierre-François Massiani, Steve Heim, Friedrich Solowjow, Sebastian Trimpe
Safe Value Functions. IEEE Trans. Autom. Control. 68 (5) (2023)
Lukas Kesper, Sebastian Trimpe, Dominik Baumann
Toward Multi-Agent Reinforcement Learning for Distributed Event-Triggered Control. L4DC (2023)
Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Sebastian Trimpe, Dominik Baumann
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems. Artif. Intell. 320 (2023)
Andres Felipe Posada-Moreno, Lukas Kreisköther, Tassilo Glander, Sebastian Trimpe
Scale-preserving automatic concept extraction (SPACE). Mach. Learn. 112 (11) (2023)
Andres Felipe Posada-Moreno, Lukas Kreisköther, Tassilo Glander, Sebastian Trimpe
Scale-Preserving Automatic Concept Extraction (SPACE). CoRR (2023)
Shamil Mamedov, Andreas René Geist, Jan Swevers, Sebastian Trimpe
Finite element inspired networks: Learning physically-plausible deformable object dynamics from partial observations. CoRR (2023)
Antonia Holzapfel, Paul Brunzema, Sebastian Trimpe
Event-Triggered Safe Bayesian Optimization on Quadcopters. CoRR (2023)
Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch, Michael Tiemann, Sebastian Trimpe
Combining Slow and Fast: Complementary Filtering for Dynamics Learning. AAAI (2023)
Pierre-François Massiani, Mona Buisson-Fenet, Friedrich Solowjow, Florent Di Meglio, Sebastian Trimpe
Data-Driven Observability Analysis for Nonlinear Stochastic Systems. CoRR (2023)
Christian Fiedler, Michael Herty, Sebastian Trimpe
On kernel-based statistical learning theory in the mean field limit. NeurIPS (2023)
Abdullah Tokmak, Christian Fiedler, Melanie N. Zeilinger, Sebastian Trimpe, Johannes Köhler
Automatic nonlinear MPC approximation with closed-loop guarantees. CoRR (2023)
Katharina Ensinger, Sebastian Ziesche, Sebastian Trimpe
Learning Hybrid Dynamics Models With Simulator-Informed Latent States. CoRR (2023)
Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche, Sebastian Trimpe
Exact Inference for Continuous-Time Gaussian Process Dynamics. CoRR (2023)
Christian Fiedler, Michael Herty, Sebastian Trimpe
Mean field limits for discrete-time dynamical systems via kernel mean embeddings. CoRR (2023)
Christian Fiedler, Michael Herty, Sebastian Trimpe
On kernel-based statistical learning in the mean field limit. CoRR (2023)
Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control. CoRR (2023)
Alexander Gräfe, Dominik Baumann, Sebastian Trimpe
Towards remote fault detection by analyzing communication priorities. CDC (2022)
Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. CoRR (2022)
Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Sebastian Trimpe, Dominik Baumann
Scalable Safe Exploration for Global Optimization of Dynamical Systems. CoRR (2022)
Fabian Mager, Dominik Baumann, Carsten Herrmann, Sebastian Trimpe, Marco Zimmerling
Scaling beyond Bandwidth Limitations: Wireless Control with Stability Guarantees under Overload. ACM Trans. Cyber Phys. Syst. 6 (3) (2022)
Alexander Gräfe, Dominik Baumann, Sebastian Trimpe
Towards remote fault detection by analyzing communication priorities. CoRR (2022)
Andreas René Geist, Jonathan Fiene, Naomi Tashiro, Zheng Jia, Sebastian Trimpe
The Wheelbot: A Jumping Reaction Wheel Unicycle. CoRR (2022)
Christian Fiedler, Sebastian Trimpe
Revisiting the derivation of stage costs in infinite horizon discrete-time optimal control. MED (2022)
Sebastian Schlor, Friedrich Solowjow, Sebastian Trimpe
Parameter Filter-based Event-triggered Learning. CoRR (2022)
Steffen Bleher, Steve Heim, Sebastian Trimpe
Learning Fast and Precise Pixel-to-Torque Control. CoRR (2022)
Alexander von Rohr, Friedrich Solowjow, Sebastian Trimpe
Improving the Performance of Robust Control through Event-Triggered Learning. CoRR (2022)
Andres Felipe Posada-Moreno, Nikita Surya, Sebastian Trimpe
ECLAD: Extracting Concepts with Local Aggregated Descriptors. CoRR (2022)
Alexander Gräfe, Joram Eickhoff, Sebastian Trimpe
Event-triggered and distributed model predictive control for guaranteed collision avoidance in UAV swarms. CoRR (2022)
Steffen Bleher, Steve Heim, Sebastian Trimpe
Learning Fast and Precise Pixel-to-Torque Control: A Platform for Reproducible Research of Learning on Hardware. IEEE Robotics Autom. Mag. 29 (2) (2022)
Mona Buisson-Fenet, Valéry Morgenthaler, Sebastian Trimpe, Florent Di Meglio
Learning dynamics from partial observations with structured neural ODEs. CoRR (2022)
Christian Fiedler, Sebastian Trimpe
Revisiting the derivation of stage costs in infinite horizon discrete-time optimal control. CoRR (2022)
Paul Brunzema, Alexander von Rohr, Sebastian Trimpe
On Controller Tuning with Time-Varying Bayesian Optimization. CDC (2022)
Dominik Baumann, Friedrich Solowjow, Karl Henrik Johansson, Sebastian Trimpe
Identifying Causal Structure in Dynamical Systems. Trans. Mach. Learn. Res. 2022 (2022)
Paul Brunzema, Alexander von Rohr, Friedrich Solowjow, Sebastian Trimpe
Event-Triggered Time-Varying Bayesian Optimization. CoRR (2022)
Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe
Learning Functions and Uncertainty Sets Using Geometrically Constrained Kernel Regression. CDC (2022)
Alexander von Rohr, Friedrich Solowjow, Sebastian Trimpe
Improving the Performance of Robust Control through Event-Triggered Learning. CDC (2022)
Paul Brunzema, Alexander von Rohr, Sebastian Trimpe
On Controller Tuning with Time-Varying Bayesian Optimization. CoRR (2022)
Katharina Ensinger, Friedrich Solowjow, Sebastian Ziesche, Michael Tiemann, Sebastian Trimpe
Structure-Preserving Gaussian Process Dynamics. ECML/PKDD (5) (2022)
Andreas Rene Geist, Jonathan Fiene, Naomi Tashiro, Zheng Jia, Sebastian Trimpe
The Wheelbot: A Jumping Reaction Wheel Unicycle. IEEE Robotics Autom. Lett. 7 (4) (2022)
Pierre-François Massiani, Steve Heim, Sebastian Trimpe
On exploration requirements for learning safety constraints. CoRR (2021)
Sarah Müller, Alexander von Rohr, Sebastian Trimpe
Local policy search with Bayesian optimization. CoRR (2021)
Mona Buisson-Fenet, Valéry Morgenthaler, Sebastian Trimpe, Florent Di Meglio
Joint State and Dynamics Estimation With High-Gain Observers and Gaussian Process Models. IEEE Control. Syst. Lett. 5 (5) (2021)
Pierre-François Massiani, Steve Heim, Friedrich Solowjow, Sebastian Trimpe
Safe Value Functions. CoRR (2021)
Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe
Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees. CDC (2021)
Sarah Müller, Alexander von Rohr, Sebastian Trimpe
Local policy search with Bayesian optimization. NeurIPS (2021)
Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe
Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees. CoRR (2021)
Dominik Baumann, Alonso Marco, Matteo Turchetta, Sebastian Trimpe
GoSafe: Globally Optimal Safe Robot Learning. CoRR (2021)
Lucas Rath, Andreas René Geist, Sebastian Trimpe
Using Physics Knowledge for Learning Rigid-body Forward Dynamics with Gaussian Process Force Priors. CoRL (2021)
Niklas Funk, Dominik Baumann, Vincent Berenz, Sebastian Trimpe
Learning event-triggered control from data through joint optimization. IFAC J. Syst. Control. 16 (2021)
Dominik Baumann, Alonso Marco, Matteo Turchetta, Sebastian Trimpe
GoSafe: Globally Optimal Safe Robot Learning. ICRA (2021)
Fabian Mager, Dominik Baumann, Carsten Herrmann, Sebastian Trimpe, Marco Zimmerling
Scaling Beyond Bandwidth Limitations: Wireless Control With Stability Guarantees Under Overload. CoRR (2021)
Henning Schlüter, Friedrich Solowjow, Sebastian Trimpe
Event-Triggered Learning for Linear Quadratic Control. IEEE Trans. Autom. Control. 66 (10) (2021)
Pierre-François Massiani, Steve Heim, Sebastian Trimpe
On exploration requirements for learning safety constraints. L4DC (2021)
Katharina Ensinger, Friedrich Solowjow, Michael Tiemann, Sebastian Trimpe
Symplectic Gaussian Process Dynamics. CoRR (2021)
Mona Buisson-Fenet, Valéry Morgenthaler, Sebastian Trimpe, Florent Di Meglio
Joint state and dynamics estimation with high-gain observers and Gaussian process models. ACC (2021)
Dominik Baumann, Fabian Mager, Ulf Wetzker, Lothar Thiele, Marco Zimmerling, Sebastian Trimpe
Wireless Control for Smart Manufacturing: Recent Approaches and Open Challenges. Proc. IEEE 109 (4) (2021)
Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression. CoRR (2021)
Tobias Holicki, Carsten W. Scherer, Sebastian Trimpe
Controller Design via Experimental Exploration With Robustness Guarantees. IEEE Control. Syst. Lett. 5 (2) (2021)
Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression. AAAI (2021)
Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. NeurIPS (Competition and Demos) (2021)
Alexander von Rohr, Matthias Neumann-Brosig, Sebastian Trimpe
Probabilistic robust linear quadratic regulators with Gaussian processes. L4DC (2021)
Alonso Marco, Dominik Baumann, Majid Khadiv, Philipp Hennig, Ludovic Righetti, Sebastian Trimpe
Robot Learning With Crash Constraints. IEEE Robotics Autom. Lett. 6 (2) (2021)
Alexander von Rohr, Matthias Neumann-Brosig, Sebastian Trimpe
Probabilistic robust linear quadratic regulators with Gaussian processes. CoRR (2021)
Sinan Özgün Demir, Utku Culha, Alp Can Karacakol, Abdon Pena-Francesch, Sebastian Trimpe, Metin Sitti
Task space adaptation via the learning of gait controllers of magnetic soft millirobots. Int. J. Robotics Res. 40 (12-14) (2021)
Jonas Beuchert, Friedrich Solowjow, Jörg Raisch, Sebastian Trimpe, Thomas Seel
Hierarchical Event-Triggered Learning for Cyclically Excited Systems With Application to Wireless Sensor Networks. IEEE Control. Syst. Lett. 4 (1) (2020)
Gabriel S. Lima, Sebastian Trimpe, Wallace Moreira Bessa
Sliding Mode Control with Gaussian Process Regression for Underwater Robots. J. Intell. Robotic Syst. 99 (3) (2020)
Dominik Baumann, Fabian Mager, Marco Zimmerling, Sebastian Trimpe
Control-Guided Communication: Efficient Resource Arbitration and Allocation in Multi-Hop Wireless Control Systems. IEEE Control. Syst. Lett. 4 (1) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sebastian Trimpe