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

  • Variance representations and convergence rates for data-driven approximations of Koopman operators (2026)

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

    Published at: Physica D Nonlinear Phenomena (Volume: 492)
    DOI: 10.1016/j.physd.2026.135223

  • Fourier neural operators as data-driven surrogates for two- and three-dimensional Rayleigh–bénard convection (2026)

    Authors: Thorben Markmann, Michiel Straat, Sebastian Peitz, Barbara Hammer

    Published at: Neurocomputing (Volume: 679)
    DOI: 10.1016/j.neucom.2026.133201

  • 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

  • Evaluating physics-based, hybrid, and data-driven models for rubber-metal bushings: Balancing accuracy, implementation complexity, and efficiency (2026)

    Authors: Meike Wohlleben, Jan Schütte, Manuel Bastian Berkemeier, Walter Sextro, Sebastian Peitz

    Published at: Multibody System Dynamics
    DOI: 10.1007/s11044-026-10146-9

  • 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

  • Multi-objective deep learning: Taxonomy and survey of the state of the art (2025)

    Authors: Sebastian Peitz, Sèdjro Salomon Hotegni

    Published at: Machine Learning with Applications (Volume: 21)
    DOI: 10.1016/j.mlwa.2025.100700

  • 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

  • A multiobjective continuation method to compute the regularization path of deep neural networks (2025)

    Authors: Augustina Chidinma Amakor, Konstantin Sonntag, Sebastian Peitz

    Published at: Machine Learning with Applications (Volume: 19)
    DOI: 10.1016/j.mlwa.2025.100625