Publications

2026
Vision-Conditioned Variational Bayesian Last Layer Dynamics Models preview
2026

Vision-Conditioned Variational Bayesian Last Layer Dynamics Models

Paul Brunzema, Thomas Lew, Ray Zhang, Takeru Shirasawa, John Subosits, Marcus Greiff

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Paper PDF
Local Preferential Bayesian Optimization preview
2026

Local Preferential Bayesian Optimization

Johanna Menn, Miriam Kober, Paul Brunzema, David Stenger, Sebastian Trimpe

arXiv preprint arXiv:2606.02351

Paper PDF
RLLBC-Lib: An Educational Code Library for Reinforcement Learning and Learning-Based Control preview
2026

RLLBC-Lib: An Educational Code Library for Reinforcement Learning and Learning-Based Control

Bernd Frauenknecht, Emma Cramer, Artur Eisele, Paul Kruse, Lukas Kesper, Ramil Sabirov, Jyotirmaya Patra, Jonas Hertrampf, Johannes Berger, Paul Brunzema, Friedrich Solowjow, Sebastian Trimpe

European Workshop on Reinforcement Learning (EWRL)

The Mini Wheelbot Dataset: High-Fidelity Data for Robot Learning preview
2026

The Mini Wheelbot Dataset: High-Fidelity Data for Robot Learning

Henrik Hose, Paul Brunzema, Devdutt Subhasish, Sebastian Trimpe

arXiv preprint arXiv:2601.11394

Paper PDF arXiv
2025
Event-Triggered Time-Varying Bayesian Optimization preview
2025

Event-Triggered Time-Varying Bayesian Optimization

Paul Brunzema, Alexander von Rohr, Friedrich Solowjow, Sebastian Trimpe

Transactions on Machine Learning Research (TMLR)

Paper PDF arXiv
Bayesian Optimization via Continual Variational Last Layer Training preview
2025 Spotlight

Bayesian Optimization via Continual Variational Last Layer Training

Paul Brunzema, Mikkel Jordahn, John Willes, Sebastian Trimpe, Jasper Snoek, James Harrison

International Conference on Learning Representations (ICLR)

Paper PDF arXiv
BayeSQP: Bayesian Optimization through Sequential Quadratic Programming preview
2025 Spotlight

BayeSQP: Bayesian Optimization through Sequential Quadratic Programming

Paul Brunzema, Sebastian Trimpe

Advances in Neural Information Processing Systems (NeurIPS)

Paper PDF arXiv
Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization preview
2025 Best Student Paper Award

Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization

Henrik Hose, Paul Brunzema, Alexander von Rohr, Alexander Gräfe, Angela P. Schoellig, Sebastian Trimpe

International Conference on Robot Intelligence Technologies and Applications (RiTA)

Paper PDF arXiv
Heteroscedastic Variation Bayesian Last Layers preview
2025

Heteroscedastic Variation Bayesian Last Layers

James Harrison, John Willes, Paul Brunzema, Jasper Snoek

Advances on Approximate Bayesian Inference (AABI) Workshop

Paper PDF
2024
Variational Last Layers for Bayesian Optimization preview
2024

Variational Last Layers for Bayesian Optimization

Paul Brunzema, Mikkel Jordahn, John Willes, Sebastian Trimpe, Jasper Snoek, James Harrison

NeurIPS Workshop on Bayesian Decision-making and Uncertainty

Paper PDF
Event-Triggered Safe Bayesian Optimization on Quadcopters preview
2024

Event-Triggered Safe Bayesian Optimization on Quadcopters

Antonia Holzapfel*, Paul Brunzema*, Sebastian Trimpe

Learning for Dynamics and Control Conference (L4DC)

Paper PDF arXiv
Neural Processes with Event Triggers for Fast Adaptation preview
2024

Neural Processes with Event Triggers for Fast Adaptation

Paul Brunzema*, Paul Kruse*, Sebastian Trimpe

Learning for Dynamics and Control Conference (L4DC)

Paper PDF
2022
On Controller Tuning with Time-Varying Bayesian Optimization preview
2022

On Controller Tuning with Time-Varying Bayesian Optimization

Paul Brunzema*, Alexander Von Rohr*, Sebastian Trimpe

Conference on Decision and Control (CDC)

Paper arXiv

* Equal contribution.