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

  • Group-convolutional extended dynamic mode decomposition (2025)

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

    Published at: Physica D Nonlinear Phenomena (Volume: 480)
    DOI: 10.1016/j.physd.2025.134725

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

    Authors: Kristin M. de Payrebrune, Kathrin Flaßkamp, Tom Ströhla, Thomas Sattel, Dieter Bestle, Benedict Röder, Peter Eberhard, Sebastian Peitz, Marcus Stoffel, Gulakala Rutwik, Borse Aditya, Meike Wohlleben, Walter Sextro, Maximilian Raff, David Remy, Manish Yadav, Merten Stender, Jan van Delden, Timo Lüddecke, Sabine C. Langer, Julius Schultz, Christopher Blech

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

  • Effective Backdoor Learning on Open-Set Face Recognition Systems (2025)

    Authors: Diana Voth, Leonidas Dane, Jonas Grebe, Sebastian Peitz, Philipp Terhörst

    Published at: Proceedings 2025 IEEE Winter Conference on Applications of Computer Vision Wacv 2025
    DOI: 10.1109/WACV61041.2025.00109

  • 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

  • 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

  • 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

  • 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

  • FAST CONVERGENCE OF INERTIAL MULTIOBJECTIVE GRADIENT-LIKE SYSTEMS WITH ASYMPTOTIC VANISHING DAMPING (2024)

    Authors: Konstantin Sonntag, Sebastian Peitz

    Published at: SIAM Journal on Optimization (Volume: 34)
    DOI: 10.1137/23M1588512