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

  • Enhancing Adversarial Robustness Through Multi-objective Representation Learning (2026)

    Authors: Sedjro Salomon Hotegni, Sebastian Peitz

    Published at: Lecture Notes in Computer Science (Volume: 16068 LNCS)
    DOI: 10.1007/978-3-032-04558-4_35

  • Surrogate-Assisted Multi-objective Design of Complex Multibody Systems (2026)

    Authors: Augustina C. Amakor, Manuel B. Berkemeier, Meike Wohlleben, Walter Sextro, Sebastian Peitz

    Published at: Lecture Notes in Computer Science (Volume: 16071 LNCS)
    DOI: 10.1007/978-3-032-04555-3_21

  • Error Analysis of Kernel EDMD for Prediction and Control in the Koopman Framework (2025)

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

    Published at: Journal of Nonlinear Science (Volume: 35)
    DOI: 10.1007/s00332-025-10182-3

  • 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

  • Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients (2025)

    Authors: Manuel Berkemeier, Sebastian Peitz

    Published at: Open Journal of Mathematical Optimization (Volume: 6)
    DOI: 10.5802/ojmo.47

  • 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