TY - CHAP A1 - Sekuliĉ, Ivan A1 - Schneider, Philipp-Immanuel A1 - Anton, Oliver A1 - Da Ros, Elisa A1 - Henderson, Victoria A1 - Krutzik, Markus T1 - Efficient machine-learning approach to optimize trapped cold atom ensembles for quantum memory applications T2 - Proc. SPIE Y1 - 2023 U6 - https://doi.org/10.1117/12.2684406 VL - 12740 SP - 127400F ER - TY - CHAP A1 - Schneider, Philipp-Immanuel A1 - Zschiedrich, Lin A1 - Hammerschmidt, Martin A1 - Kuen, Lilli A1 - Sekuliĉ, Ivan A1 - Kluge, Julien A1 - Leykauf, Bastian A1 - Krutzik, Markus A1 - Burger, Sven T1 - Boosting quantum optics experiments with Bayesian optimization T2 - Proc. SPIE Y1 - 2022 U6 - https://doi.org/10.1117/12.2632419 VL - 12227 SP - 122270F ER - TY - JOUR A1 - Anton, Oliver A1 - Henderson, Victoria A. A1 - Da Ros, Elisa A1 - Sekuliĉ, Ivan A1 - Burger, Sven A1 - Schneider, Philipp-Immanuel A1 - Krutzik, Markus T1 - Review and experimental benchmarking of machine learning algorithms for efficient optimization of cold atom experiments JF - Mach. Learn. Sci. Technol. Y1 - 2024 U6 - https://doi.org/10.1088/2632-2153/ad3cb6 VL - 5 SP - 025022 ER - TY - JOUR A1 - Müller, Gabriel A1 - Martínez-Lahuerta, V. J. A1 - Sekuliĉ, Ivan A1 - Burger, Sven A1 - Schneider, Philipp-Immanuel A1 - Gaaloul, Naceur T1 - Bayesian optimization for state engineering of quantum gases JF - arXiv Y1 - 2024 SP - arXiv:2404.18234 ER - TY - GEN A1 - Sekuliĉ, Ivan A1 - Schneider, Philipp-Immanuel A1 - Hammerschmidt, Martin A1 - Burger, Sven T1 - Machine-learning driven design of metasurfaces: learn the physics and not the objective function T2 - Proc. SPIE Y1 - 2024 U6 - https://doi.org/10.1117/12.3022119 VL - PC13017 SP - PC130170X ER -