Improving Physics Education Through Different Immersive and Engaging Laboratory Setups. - Johanna Pirker; Michael Stefan Holly; Patrick Hipp; Christopher König; Dominik Jeitler; Christian Gütl (IMCL, 2017)

Safe and Efficient Model-free Adaptive Control via Bayesian Optimization. - Christopher König; Matteo Turchetta; John Lygeros; Alisa Rupenyan; Andreas Krause 001 (ICRA, 2021)

Meta-Learning Priors for Safe Bayesian Optimization. - Jonas Rothfuss; Christopher König; Alisa Rupenyan; Andreas Krause 001 (CoRL, 2022)

Safety-Aware Cascade Controller Tuning Using Constrained Bayesian Optimization. - Mohammad Khosravi; Christopher König; Markus Maier; Roy S. Smith; John Lygeros; Alisa Rupenyan (IEEE Trans. Ind. Electron., 2023)

Safe Risk-Averse Bayesian Optimization for Controller Tuning. - Christopher König; Miks Ozols; Anastasia Makarova; Efe C. Balta; Andreas Krause 001; Alisa Rupenyan (IEEE Robotics Autom. Lett., 2023)

Efficient safe learning for controller tuning with experimental validation. - Marta A. Zagorowska; Christopher König; Hanlin Yu; Efe C. Balta; Alisa Rupenyan; John Lygeros (Eng. Appl. Artif. Intell., 2025)

Adaptive Bayesian Optimization for High-Precision Motion Systems. - Christopher König; Raamadaas Krishnadas; Efe C. Balta; Alisa Rupenyan (IEEE Trans Autom. Sci. Eng., 2025)