Sebastian Peitz

Sebastian Peitz

sebastian.peitz@upb.de
Institution: Paderborn University
Department: Department of Computer Science
Position: Data Science for Engineering
http://www.cs.upb.de/dse

Data-driven model reduction, optimization and control of complex dynamical systems; Reinforcement learning; Multiobjective optimization / Multicriteria machine learning

  • The impact of AI on engineering design procedures for dynamical systems (2025)

    Authors:

    Published at: Technische Mechanik (Volume: 45)
    DOI: 10.24352/UB.OVGU-2025-037

  • EQUIVARIANCE AND PARTIAL OBSERVATIONS IN KOOPMAN OPERATOR THEORY FOR PARTIAL DIFFERENTIAL EQUATIONS (2025)

    Authors: Sebastian Peitz, Hans Harder, Feliks Nüske, Friedrich M. Philipp, Manuel Schalier, Kari Worthmann

    Published at: Journal of Computational Dynamics (Volume: 12)
    DOI: 10.3934/jcd.2024035

  • A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces (2024)

    Authors: Konstantin Sonntag, Bennet Gebken, Georg Müller, Sebastian Peitz, Stefan Volkwein

    Published at: Journal of Optimization Theory and Applications (Volume: 203)
    DOI: 10.1007/s10957-024-02520-4

  • Error bounds for kernel-based approximations of the Koopman operator (2024)

    Authors: Friedrich M. Philipp, Manuel Schaller, Karl Worthmann, Sebastian Peitz, Feliks Nüske

    Published at: Applied and Computational Harmonic Analysis (Volume: 71)
    DOI: 10.1016/j.acha.2024.101657

  • Distributed control of partial differential equations using convolutional reinforcement learning (2024)

    Authors: Sebastian Peitz, Jan Stenner, Vikas Chidananda, Oliver Wallscheid, Steven L. Brunton, Kunihiko Taira

    Published at: Physica D: Nonlinear Phenomena (Volume: 461)
    DOI: 10.1016/j.physd.2024.134096

  • Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-Like Systems (2024)

    Authors: Konstantin Sonntag, Sebastian Peitz

    Published at: Journal of Optimization Theory and Applications (Volume: 201)
    DOI: 10.1007/s10957-024-02389-3

  • On the continuity and smoothness of the value function in reinforcement learning and optimal control (2024)

    Authors: Hans Harder, Sebastian Peitz

    Published at: Proceedings of the IEEE Conference on Decision and Control
    DOI: 10.1109/CDC56724.2024.10886529

  • Accelerating the analysis of optical quantum systems using the Koopman operator (2024)

    Authors: Anna Hunstig, Sebastian Peitz, Hendrik Rose, Torsten Meier

    Published at: Proceedings of the IEEE Conference on Decision and Control
    DOI: 10.1109/CDC56724.2024.10886589

  • Multi-Objective Optimization for Sparse Deep Multi-Task Learning (2024)

    Authors: Sedjro S. Hotegni, Manuel Berkemeier, Sebastian Peitz

    Published at: Proceedings of the International Joint Conference on Neural Networks
    DOI: 10.1109/IJCNN60899.2024.10650994

  • Hybrid control of interconnected power converters using both expert-driven droop and data-driven reinforcement learning approaches (2024)

    Authors: Septimus Boshoff, Jan Stenner, Daniel Weber, Marvin Meyer, Vikas Chidananda, Sebastian Peitz, Oliver Wallscheid

    Published at: PESS 2023 - Power and Energy Student Summit