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

  • Interactive Pareto Navigation for Deep Multi-task Learning (2027)

    Authors: Augustina C. Amakor, Konstantin Sonntag, Sebastian Peitz

    Published at: Lecture Notes in Computer Science (Volume: 16944 LNCS)
    DOI: 10.1007/978-3-032-37667-1_37

  • 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 (Volume: 68)
    DOI: 10.1007/s11044-026-10146-9

  • 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

  • Common Pitfalls to Avoid While Using Multiobjective Optimization in Machine Learning (2026)

    Authors: Junaid Akhter, Paul David Fährmann, Konstantin Sonntag, Sebastian Peitz, Daniel Schwietert

    Published at: SIAM Review (Volume: 68)
    DOI: 10.1137/24M1658875

  • 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

  • Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems (2026)

    Authors: Hans Harder, Abhijeet Vishwasrao, Luca Guastoni, Ricardo Vinuesa, Sebastian Peitz

    Published at: Proceedings of Machine Learning Research (Volume: 331)

  • 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