ST
Sebastian Trimpe
cs.LGcs.SYeess.SYcs.ROstat.MLmath.OCcs.AIcs.MAcs.NIcs.CV
On Valency
published · living versionsW_hsdr2ms5·v1 · currentpublished
A Decade of Learning-Based Control: From Theoretic Foundations to Practical Deployment
with Angela P. Schoellig, Matthias A. Müller, Melanie N. Zeilinger, Mahathi Anand +6
1 version
W_3mxumn2n·v1published
Preprints & journals
138 papers in the corpus · 2015–2026A Decade of Learning-Based Control: From Theoretic Foundations to Practical Deployment2610.29187v1 · Angela P. Schoellig, Matthias A. Muller, Sebastian Trimpe et al.2026 · 0 citationsarXivon Valency
Efficiently Approximating Attention Is Hard2609.37261v1 · Lukas Haverbeck, Carmen Amo Alonso, Andres Felipe Posada-Moreno et al.2026 · 0 citationsarXiv
RLLBC-Lib: An Educational Code Library for Reinforcement Learning and Learning-Based Control2609.19074v1 · Bernd Frauenknecht, Emma Cramer, Artur Eisele et al.2026 · 0 citationsarXiv
A Decade of Bayesian Optimization for Controller Tuning and Robot Learning: Tutorial, Review, and Future Prospects2609.09403v1 · David Stenger, Paul Brunzema, Johanna Menn et al.2026 · 0 citationsarXivon Valency
Scalable Gaussian Process Regression via Deterministic Trigonometric Features: Uniform Bounds for Safe Model Predictive Control2608.16415v1 · Julius Jagdt, Johanna Menn, Sebastian Trimpe et al.2026 · 0 citationsarXiv
CENDRe: Concept Extraction with Natural Domain Representations2607.29621v1 · Antonia Holzapfel, Andres Felipe Posada Moreno, Sebastian Trimpe2026 · 0 citationsarXiv
WarpMPC: Large-Batch MPC on GPU via ADMM with Unrolled Factorization2607.11603v1 · Henrik Hose, Se Hwan Jeon, Charles Khazoom et al.2026 · 0 citationsarXiv
The risk of KV cache compression2607.01520v1 · Lukas Haverbeck, Carmen Amo Alonso, Andres Felipe Posada-Moreno et al.2026 · 0 citationsarXiv
Generative AI for Safe and Photorealistic Drone Light Shows2606.25458v1 · Pascal Reinhold, Alexander Grafe, Sebastian Trimpe2026 · 0 citationsarXiv
Local Preferential Bayesian Optimization2606.02351v2 · Johanna Menn, Miriam Kober, Paul Brunzema et al.2026 · 0 citationsarXiv
All Models are Wrong, Knowing Where is Useful: On Model Uncertainty in Reinforcement Learning2606.01363v1 · Bernd Frauenknecht, Devdutt Subhasish, Artur Eisele et al.2026 · 0 citationsarXiv
Going Beyond the Edge: Distributed Inference of Transformer Models on Ultra-Low-Power Wireless Devices2605.15694v2 · Alexander Grafe, Ding Huo, Vincent de Bakker et al.2026 · 0 citationsarXiv
Learning to Race in Minutes: Infoprop Dyna on the Mini Wheelbot2605.01096v1 · Devdutt Subhasish, Henrik Hose, Sebastian Trimpe2026 · 0 citationsarXiv
Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamics2604.26836v3 · Bernd Frauenknecht, Lukas Kesper, Daniel Mayfrank et al.2026 · 0 citationsarXiv
Biased Dreams: Limitations to Epistemic Uncertainty Quantification in Latent Dynamics Models2604.25416v2 · Julia Berger, Bernd Frauenknecht, Sebastian Trimpe et al.2026 · 0 citationsarXiv
Dyna-Style Safety Augmented Reinforcement Learning: Staying Safe in the Face of Uncertainty2604.25508v1 · Artur Eisele, Bernd Frauenknecht, Friedrich Solowjow et al.2026 · 0 citationsarXiv
Preferential Bayesian Optimization with Crash Feedback2604.01776v1 · Johanna Menn, David Stenger, Sebastian Trimpe2026 · 0 citationsIEEE Robotics and Automation Letters, vol. 11, no. 4, pp. 4299-4306, April 2026
How to Model Your Crazyflie Brushless2603.05944v1 · Alexander Grafe, Christoph Scherer, Wolfgang Honig et al.2026 · 0 citationsarXiv
BayeSQP: Bayesian Optimization through Sequential Quadratic Programming2602.03232v1 · Paul Brunzema, Sebastian Trimpe2026 · 1 citationarXiv
The Mini Wheelbot Dataset: High-Fidelity Data for Robot Learning2601.11394v1 · Henrik Hose, Paul Brunzema, Devdutt Subhasish et al.2026 · 0 citationsarXiv
A Systems-Theoretic View on the Convergence of Algorithms under Disturbances2512.17598v1 · Guner Dilsad Er, Sebastian Trimpe, Michael Muehlebach2025 · 0 citationsarXiv
Local Entropy Search over Descent Sequences for Bayesian Optimization2511.19241v1 · David Stenger, Armin Lindicke, Alexander von Rohr et al.2025 · 0 citationsarXiv
RockNet: Distributed Learning on Ultra-Low-Power Devices2510.13320v2 · Alexander Grafe, Fabian Mager, Marco Zimmerling et al.2025 · 1 citationarXiv
Utilizing Bayesian Optimization for Timetable-Independent Railway Junction Performance Determination2510.11181v1 · Tamme Emunds, Paul Brunzema, Sebastian Trimpe et al.2025 · 0 citationsarXiv
Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF2509.04213v1 · Tobin Holtmann, David Stenger, Andres Posada-Moreno et al.2025 · 0 citationsarXiv
DMPC-Swarm: Distributed Model Predictive Control on Nano UAV Swarms2508.20553v2 · Alexander Grafe, Joram Eickhoff, Marco Zimmerling et al.2025 · 10 citationsarXiv
Robust screening of atrial fibrillation with distribution classification.40695864 · Massiani, Pierre-François, Haverbeck, Lukas, Thesing, Claas et al.2025 · 0 citationsScientific reports. 2025;15(1):26582
MPX: Mixed Precision Training for JAX2507.03312v3 · Alexander Grafe, Sebastian Trimpe2025 · 0 citationsarXiv
Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification2506.17994v1 · Minh Trinh, Andreas Ren'e Geist, Josefine Monnet et al.2025 · 1 citationarXiv
Viability of Future Actions: Robust Safety in Reinforcement Learning via Entropy Regularization2506.10871v1 · Pierre-Francois Massiani, Alexander von Rohr, Lukas Haverbeck et al.2025 · 0 citationsarXiv
Kernel conditional tests from learning-theoretic bounds2506.03898v2 · Pierre-Francois Massiani, Christian Fiedler, Lukas Haverbeck et al.2025 · 0 citationsarXiv
Event-triggered Robust Model Predictive Control under Hard Computation Resource Constraints2504.19540v1 · Alexander Grafe, Sebastian Trimpe2025 · 2 citationsarXiv
Concept Extraction for Time Series with ECLAD-ts2504.05024v1 · Antonia Holzapfel, Andres Felipe Posada-Moreno, Sebastian Trimpe2025 · 1 citationarXiv
Diffusion-Based Approximate MPC: Fast and Consistent Imitation of Multi-Modal Action Distributions2504.04603v3 · Pau Marquez Julbe, Julian Nubert, Henrik Hose et al.2025 · 1 citationarXiv
The Mini Wheelbot: A Testbed for Learning-based Balancing, Flips, and Articulated Driving2502.04582v2 · Henrik Hose, Jan Weisgerber, Sebastian Trimpe2025 · 3 citationsarXiv
On Rollouts in Model-Based Reinforcement Learning2501.16918v2 · Bernd Frauenknecht, Devdutt Subhasish, Friedrich Solowjow et al.2025 · 1 citationarXiv
Safety in safe Bayesian optimization and its ramifications for control2501.13697v1 · Christian Fiedler, Johanna Menn, Sebastian Trimpe2025 · 0 citationsarXiv
Lipschitz Safe Bayesian Optimization for Automotive Control2501.12969v2 · Johanna Menn, Pietro Pelizzari, Michael Fleps-Dezasse et al.2025 · 2 citationsarXiv
Early Stopping Bayesian Optimization for Controller Tuning2501.11532v1 · David Stenger, Dominik Scheurenberg, Heike Vallery et al.2025 · 2 citationsarXiv
CHEQ-ing the Box: Safe Variable Impedance Learning for Robotic Polishing2501.07985v2 · Emma Cramer, Lukas Jaschke, Sebastian Trimpe2025 · 2 citationsarXiv
Bayesian Optimization via Continual Variational Last Layer Training2412.09477v1 · Paul Brunzema, Mikkel Jordahn, John Willes et al.2024 · 0 citationsarXiv
On Foundation Models for Dynamical Systems from Purely Synthetic Data2412.00395v2 · Martin Ziegler, Andres Felipe Posada-Moreno, Friedrich Solowjow et al.2024 · 1 citationarXiv
Simulation-Aided Policy Tuning for Black-Box Robot Learning2411.14246v1 · Shiming He, Alexander von Rohr, Dominik Baumann et al.2024 · 1 citationarXiv
Feedforward Controllers from Learned Dynamic Local Model Networks with Application to Excavator Assistance Functions2409.16875v1 · Leon Greiser, Ozan Demir, Benjamin Hartmann et al.2024 · 1 citationarXiv
Learning deformable linear object dynamics from a single trajectory2407.03476v1 · Shamil Mamedov, A. Ren'e Geist, Ruan Viljoen et al.2024 · 6 citationsarXiv
Combining Automated Optimisation of Hyperparameters and Reward Shape2406.18293v2 · Julian Dierkes, Emma Cramer, Holger H. Hoos et al.2024 · 1 citationarXiv
On the Consistency of Kernel Methods with Dependent Observations2406.06101v1 · Pierre-Francois Massiani, Sebastian Trimpe, Friedrich Solowjow2024 · 0 citationsarXiv
Distributed Event-Based Learning via ADMM2405.10618v3 · Guner Dilsad Er, Sebastian Trimpe, Michael Muehlebach2024 · 0 citationsG. Dilsad Er, Sebastian Trimpe, and Michael Muehlebach, Distributed Event-Based Learning via ADMM, International Conference on Machine Learning 267 (2025), pp. 15384-15418
Parameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Retraining2404.05835v2 · Henrik Hose, Alexander Grafe, Sebastian Trimpe2024 · 1 citationPMLR 242:349-360, 2024
On Safety in Safe Bayesian Optimization2403.12948v1 · Christian Fiedler, Johanna Menn, Lukas Kreiskother et al.2024 · 5 citationsarXiv
Career total: 238 works. 138 are in this corpus.Showing the 50 most recent.
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