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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Project 1
TBD
Project 2
TBD
publications
A Safe Bayesian Optimization Algorithm for Tuning the Optical Synchronization System at European XFEL
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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Towards Safe Multi-Task Bayesian Optimization
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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Bayesian Optimization Algorithms for Accelerator Physics
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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An Analysis of Safety Guarantees in Multi-Task Bayesian Optimization
arXiv, 2025
Jannis Luebsen, Annika Eichler, "An Analysis of Safety Guarantees in Multi-Task Bayesian Optimization." arXiv, 2025.
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Data-Driven Feedback Optimization for Particle Accelerator Application
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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talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.