publications

@inproceedings{brunzema2026gibbs,
  title = {Beyond Single-Step Likelihood: {Gibbs} Variational Last Layers for Long-Horizon Dynamics Learning},
  author = {Brunzema, Paul and Hose, Henrik and Trimpe, Sebastian},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026}
}

@inproceedings{graefe2026federated,
  title = {Efficient Knowledge Transfer in Federated {Bayesian} Optimization through Neural Network Surrogates},
  author = {Gr{\"a}fe, Alexander and {van Gemmeren}, Max and Brunzema, Paul and Trimpe, Sebastian},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026}
}

@inproceedings{harrison2026heteroscedastic,
  title = {Heteroscedastic Variational Last Layers},
  author = {Harrison, James and Willes, John and Jordahn, Mikkel and Brunzema, Paul and Snoek, Jasper},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026}
}

@inproceedings{frauenknecht2026rllbc,
  title = {RLLBC-Lib: An Educational Code Library for Reinforcement Learning and Learning-Based Control},
  author = {Frauenknecht, Bernd and Cramer, Emma and Eisele, Artur and Kruse, Paul and Kesper, Lukas and Sabirov, Ramil and Patra, Jyotirmaya and Hertrampf, Jonas and Berger, Johannes and Brunzema, Paul and Solowjow, Friedrich and Trimpe, Sebastian},
  booktitle = {European Workshop on Reinforcement Learning (EWRL)},
  year = {2026}
}

@article{stenger2026decade,
  title = {A Decade of {Bayesian} Optimization for Controller Tuning and Robot Learning: Tutorial, Review, and Future Prospects},
  author = {Stenger, David and Brunzema, Paul and Menn, Johanna and {von Rohr}, Alexander and Schoellig, Angela P. and Trimpe, Sebastian},
  journal = {arXiv preprint arXiv:2609.09403},
  year = {2026}
}

@article{brunzema2026agentic,
  title = {Agentic Bayesian Optimization through Surrogate-Augmented Autoresearch},
  author = {Brunzema, Paul and Tiao, Louis C. and Le, Nhat and De Angeli, Kevin and Xuan, Yao and Gligorijevic, Djordje},
  journal = {arXiv preprint arXiv:2608.00316},
  year = {2026}
}

@article{menn2026local,
  title = {Local Preferential Bayesian Optimization},
  author = {Menn, Johanna and Kober, Miriam and Brunzema, Paul and Stenger, David and Trimpe, Sebastian},
  journal = {arXiv preprint arXiv:2606.02351},
  year = {2026}
}

@article{brunzema2026vision,
  title = {Vision-Conditioned Variational {Bayesian} Last Layer Dynamics Models},
  author = {Brunzema, Paul and Lew, Thomas and Zhang, Ray and Shirasawa, Takeru and Subosits, John and Greiff, Marcus},
  journal = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year = {2026}
}

@article{hose2026mini,
  title = {The {Mini Wheelbot} Dataset: High-Fidelity Data for Robot Learning},
  author = {Hose, Henrik and Brunzema, Paul and Subhasish, Devdutt and Trimpe, Sebastian},
  journal = {arXiv preprint arXiv:2601.11394},
  year = {2026}
}

@article{hose2024fine,
  title = {Fine-Tuning of Neural Network Approximate {MPC} without Retraining via {Bayesian} Optimization},
  author = {Henrik Hose and Paul Brunzema and Alexander {von Rohr} and Alexander Gr\"afe and Angela P. Schoellig and Sebastian Trimpe},
  journal = {International Conference on Robot Intelligence Technologies and Applications (RiTA)},
  year = {2025}
}

@inproceedings{brunzema2025bayesqp,
  title = {{BayeSQP}: Bayesian Optimization through Sequential Quadratic Programming},
  author = {Brunzema, Paul and Trimpe, Sebastian},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025}
}

@inproceedings{brunzema2024bayesian,
  title = {Bayesian Optimization via Continual Variational Last Layer Training},
  author = {Brunzema, Paul and Jordahn, Mikkel and Willes, John and Trimpe, Sebastian and Snoek, Jasper and Harrison, James},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025}
}

@inproceedings{harrison2024heteroscedastic,
  title = {Heteroscedastic Variation Bayesian Last Layers},
  author = {James Harrison and John Willes and Paul Brunzema and Jasper Snoek},
  booktitle = {Advances on Approximate Bayesian Inference (AABI) Workshop},
  year = {2025}
}

@article{brunzema2025event,
  title = {Event-Triggered Time-Varying {Bayesian} Optimization},
  author = {Brunzema, Paul and {von Rohr}, Alexander and Solowjow, Friedrich and Trimpe, Sebastian},
  journal = {Transactions on Machine Learning Research (TMLR)},
  year = {2025}
}

@inproceedings{brunzema2024variational,
  title = {Variational Last Layers for {Bayesian} Optimization},
  author = {Brunzema, Paul and Jordahn, Mikkel and Willes, John and Trimpe, Sebastian and Snoek, Jasper and Harrison, James},
  booktitle = {NeurIPS Workshop on Bayesian Decision-making and Uncertainty},
  year = {2024}
}

@inproceedings{holzapfel2024event,
  title = {Event-Triggered Safe {Bayesian} Optimization on Quadcopters},
  author = {Holzapfel, Antonia and Brunzema, Paul and Trimpe, Sebastian},
  booktitle = {Learning for Dynamics and Control Conference (L4DC)},
  year = {2024}
}

@inproceedings{brunzema2024neural,
  title = {Neural Processes with Event Triggers for Fast Adaptation},
  author = {Brunzema, Paul and Kruse, Paul and Trimpe, Sebastian},
  booktitle = {Learning for Dynamics and Control Conference (L4DC)},
  year = {2024}
}

@inproceedings{brunzema2022controller,
  title = {On Controller Tuning with Time-Varying {Bayesian} Optimization},
  author = {Brunzema, Paul and {Von Rohr}, Alexander and Trimpe, Sebastian},
  booktitle = {Conference on Decision and Control (CDC)},
  year = {2022}
}