arXiv, 2026
Jannis Lübsen, Annika Eichler, "Safe Bayesian Optimization for Uncertain Correlation Matrices in Linear Models of Co-Regionalization." arXiv, 2026.
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arXiv, 2026
Jannis Lübsen, Annika Eichler, "Robust Nonlinear System Identification in Reproducing Kernel Hilbert Spaces via Scenario Optimization." arXiv, 2026.
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arXiv, 2025
Jannis Luebsen, Annika Eichler, "An Analysis of Safety Guarantees in Multi-Task Bayesian Optimization." arXiv, 2025.
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at - Automatisierungstechnik, 2025
Christian Hespe, Jan Kaiser, Jannis Lübsen, Frank Mayet, Matthias Scholz, Annika Eichler, "Data-Driven Feedback Optimization for Particle Accelerator Application." at - Automatisierungstechnik, 2025.
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Phys. Rev. Accel. Beams, 2024
Ryan Roussel, Auralee Edelen, Tobias Boltz, Dylan Kennedy, Zhe Zhang, Fuhao Ji, Xiaobiao Huang, Daniel Ratner, Andrea Garcia, Chenran Xu, Jan Kaiser, Angel Pousa, Annika Eichler, Jannis Lübsen, Natalie Isenberg, Yuan Gao, Nikita Kuklev, Jose Martinez, Brahim Mustapha, Verena Kain, Christopher Mayes, Weijian Lin, Simone Liuzzo, Jason St., Matthew Streeter, Remi Lehe, Willie Neiswanger, "Bayesian Optimization Algorithms for Accelerator Physics." Phys. Rev. Accel. Beams, 2024.
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In the proceedings of Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024
Jannis Lübsen, Christian Hespe, Annika Eichler, "Towards Safe Multi-Task Bayesian Optimization." In the proceedings of Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024.
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In the proceedings of 22nd IFAC World Congress, 2023
Jannis Lübsen, Maximilian Schütte, Sebastian Schulz, Annika Eichler, "A Safe Bayesian Optimization Algorithm for Tuning the Optical Synchronization System at European XFEL." In the proceedings of 22nd IFAC World Congress, 2023.
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