Schaller, Manuel, Karl Worthmann, Friedrich Philipp, Sebastian Peitz, and Feliks Nüske. “Towards Reliable Data-Based Optimal and Predictive Control Using Extended DMD.”https://doi.org/10.1016/j.ifacol.2023.02.029__In IFAC-PapersOnLine, 56:169–74, 2023.https://doi.org/10.1016/j.ifacol.2023.02.029 .

Hotegni, Sedjro Salomon, Sepideh Mahabadi, and Ali Vakilian. “Approximation Algorithms for Fair Range Clustering.” In Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023., n.d.

Peitz, Sebastian, Hans Harder, Feliks Nüske, Friedrich Philipp, Manuel Schaller, and Karl Worthmann. “Partial Observations, Coarse Graining and Equivariance in Koopman  Operator Theory for Large-Scale Dynamical Systems.” ArXiv:2307.15325, 2023.

Nüske, Feliks, Sebastian Peitz, Friedrich Philipp, Manuel Schaller, and Karl Worthmann. “Finite-Data Error Bounds for Koopman-Based Prediction and Control.”https://doi.org/10.1007/s00332-022-09862-1__Journal of Nonlinear Science 33 (2023).https://doi.org/10.1007/s00332-022-09862-1 .

Hotegni, Sedjro Salomon, Sebastian Peitz, and Manuel Bastian Berkemeier. “Multi-Objective Optimization for Sparse Deep Neural Network Training.” ArXiv:2308.12243, 2023.

Dellnitz, Michael, Eyke Hüllermeier, Marvin Lücke, Sina Ober-Blöbaum, Christian Offen, Sebastian Peitz, and Karlson Pfannschmidt. “Efficient Time Stepping for Numerical Integration Using Reinforcement  Learning.”https://doi.org/10.1137/21M1412682__SIAM Journal on Scientific Computing 45, no. 2 (2023): 9–95.https://doi.org/10.1137/21M1412682 .

Wallscheid, Oliver, Sebastian Peitz, Jan Stenner, Daniel Weber, Septimus Boshoff, Marvin Meyer, Vikas Chidananda, and Oliver Schweins. “ElectricGrid.Jl - A Julia-Based Modeling and Simulationtool for Power Electronics-Driven Electric Energy Grids.”https://doi.org/10.21105/joss.05616__Journal of Open Source Software 8, no. 89 (2023).https://doi.org/10.21105/joss.05616 .

Wohlleben, Meike Claudia, Lars Muth, Sebastian Peitz, and Walter Sextro. “Transferability of a Discrepancy Model for the Dynamics of Electromagnetic Oscillating Circuits.”https://doi.org/10.1002/pamm.202300039__In Proceedings in Applied Mathematics and Mechanics. Wiley, 2023.https://doi.org/10.1002/pamm.202300039 .

Peitz, Sebastian, Anna Hunstig, Hendrik Rose, and Torsten Meier. “Accelerating the Analysis of Optical Quantum Systems Using the Koopman Operator,” 2023.

Amakor, Augustina Chidinma, Konstantin Sonntag, and Sebastian Peitz. “A Multiobjective Continuation Method to Compute the Regularization Path of Deep Neural Networks.” ArXiv, 2023.

Philipp, Friedrich, Manuel Schaller, Karl Worthmann, Sebastian Peitz, and Feliks Nüske. “Error Analysis of Kernel EDMD for Prediction and Control in the Koopman  Framework.” ArXiv:2312.10460, 2023.

Sonntag, Konstantin, and Sebastian Peitz. “Fast Convergence of Inertial Multiobjective Gradient-like Systems with Asymptotic Vanishing Damping.” ArXiv:2307.00975, 2023.

Bernreuther, Marco, Michael Dellnitz, Bennet Gebken, Georg Müller, Sebastian Peitz, Konstantin Sonntag, and Stefan Volkwein. “Multiobjective Optimization of Non-Smooth PDE-Constrained Problems.” ArXiv:2308.01113, 2023.

Banholzer, Stefan, Bennet Gebken, Michael Dellnitz, Sebastian Peitz, and Stefan Volkwein. “ROM-Based Multiobjective Optimization of Elliptic PDEs via Numerical Continuation.”https://doi.org/10.1007/978-3-030-79393-7_3__In Non-Smooth and Complementarity-Based Distributed Parameter Systems, edited by Hintermüller Michael, Herzog Roland, Kanzow Christian, Ulbrich Michael, and Ulbrich Stefan, 43–76. Cham: Springer, 2022.https://doi.org/10.1007/978-3-030-79393-7_3 .

Peitz, Sebastian, Michael Dellnitz, and Sebastian Bannenberg. “Efficient Virtual Design and Testing of Autonomous Vehicles.”https://doi.org/10.1007/978-3-030-81455-7_23__In German Success Stories in Industrial Mathematics, edited by H. G. Bock, K.-H. Küfer, P. Maas, A. Milde, and V. Schulz, Vol. 35. Mathematics in Industry. Cham: Springer International Publishing, 2022.https://doi.org/10.1007/978-3-030-81455-7_23 .

Klus, Stefan, Feliks Nüske, and Sebastian Peitz. “Koopman Analysis of Quantum Systems.”https://doi.org/10.1088/1751-8121/ac7d22__Journal of Physics A: Mathematical and Theoretical 55, no. 31 (2022): 314002.https://doi.org/10.1088/1751-8121/ac7d22 .

Berkemeier, Manuel Bastian, and Sebastian Peitz. “Multi-Objective Trust-Region Filter Method for Nonlinear Constraints Using Inexact Gradients.” ArXiv:2208.12094, 2022.

Bieker, Katharina, Bennet Gebken, and Sebastian Peitz. “On the Treatment of Optimization Problems with L1 Penalty Terms via Multiobjective Continuation.”https://doi.org/10.1109/TPAMI.2021.3114962__IEEE Transactions on Pattern Analysis and Machine Intelligence 44, no. 11 (2022): 7797–7808.https://doi.org/10.1109/TPAMI.2021.3114962 .

Wohlleben, Meike Claudia, Amelie Bender, Sebastian Peitz, and Walter Sextro. “Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction.”https://doi.org/10.1007/978-3-030-95470-3_8__In Machine Learning, Optimization, and Data Science. Cham: Springer International Publishing, 2022.https://doi.org/10.1007/978-3-030-95470-3_8 .

Berkemeier, Manuel Bastian, and Sebastian Peitz. “Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models.”https://doi.org/10.3390/mca26020031__Mathematical and Computational Applications 26, no. 2 (2021).https://doi.org/10.3390/mca26020031 .