Sebastian Peitz

Sebastian Peitz

sebastian.peitz@upb.de
Institution: Paderborn University
Department: Department of Computer Science
Position: Data Science for Engineering

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

  • 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
    DOI: 10.1007/s10957-024-02389-3

  • EFFICIENT TIME-STEPPING FOR NUMERICAL INTEGRATION USING REINFORCEMENT LEARNING (2023)

    Authors: Michael Dellnitz, Eyke Hüllermeier, Marvin Lücke, Sina Ober-Blöbaum, Christian Offen, Sebastian Peitz, Karlson Pfannschmidt

    Published at: SIAM Journal on Scientific Computing (Volume: 45)
    DOI: 10.1137/21M1412682

  • On the universal transformation of data-driven models to control systems (2023)

    Authors: Sebastian Peitz, Katharina Bieker

    Published at: Automatica (Volume: 149)
    DOI: 10.1016/j.automatica.2022.110840

  • On the structure of regularization paths for piecewise differentiable regularization terms (2023)

    Authors: Bennet Gebken, Katharina Bieker, Sebastian Peitz

    Published at: Journal of Global Optimization (Volume: 85)
    DOI: 10.1007/s10898-022-01223-2

  • Finite-Data Error Bounds for Koopman-Based Prediction and Control (2023)

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

    Published at: Journal of Nonlinear Science (Volume: 33)
    DOI: 10.1007/s00332-022-09862-1

  • Towards reliable data-based optimal and predictive control using extended DMD (2023)

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

    Published at: IFAC-PapersOnLine (Volume: 56)
    DOI: 10.1016/j.ifacol.2023.02.029

  • On the Treatment of Optimization Problems With L1 Penalty Terms via Multiobjective Continuation (2022)

    Authors: Katharina Bieker, Bennet Gebken, Sebastian Peitz

    Published at: IEEE Transactions on Pattern Analysis and Machine Intelligence (Volume: 44)
    DOI: 10.1109/TPAMI.2021.3114962

  • Koopman analysis of quantum systems (2022)

    Authors: Stefan Klus, Feliks Nüske, Sebastian Peitz

    Published at: Journal of Physics A: Mathematical and Theoretical (Volume: 55)
    DOI: 10.1088/1751-8121/ac7d22