Paul Brunzema

According to our database1, Paul Brunzema authored at least 10 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
BayeSQP: Bayesian Optimization through Sequential Quadratic Programming.
CoRR, February, 2026

The Mini Wheelbot Dataset: High-Fidelity Data for Robot Learning.
CoRR, January, 2026

Vision-Conditioned Variational Bayesian Last Layer Dynamics Models.
CoRR, January, 2026

2025
Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization.
CoRR, December, 2025

Utilizing Bayesian Optimization for Timetable-Independent Railway Junction Performance Determination.
CoRR, October, 2025

Event-Triggered Time-Varying Bayesian Optimization.
Trans. Mach. Learn. Res., 2025

Bayesian Optimization via Continual Variational Last Layer Training.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Event-triggered safe Bayesian optimization on quadcopters.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Neural processes with event triggers for fast adaptation to changes.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2022
On Controller Tuning with Time-Varying Bayesian Optimization.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022


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