Philipp, Friedrich M., Manuel Schaller, Septimus Boshoff, Sebastian Peitz, Feliks Nüske, and Karl Worthmann. “Extended Dynamic Mode Decomposition: Sharp Bounds on the Sample  Efficiency.” ArXiv:2402.02494, 2024.
LibreCat: /record/51160
arXiv: 2402.02494

Sonntag, Konstantin, and Sebastian Peitz. “Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-Like Systems.”https://doi.org/10.1007/s10957-024-02389-3__Journal of Optimization Theory and Applications, 2024.https://doi.org/10.1007/s10957-024-02389-3 .
LibreCat: /record/46019
DOI: 10.1007/s10957-024-02389-3

Sonntag, Konstantin, Bennet Gebken, Georg Müller, Sebastian Peitz, and Stefan Volkwein. “A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces.” ArXiv:2402.06376, 2024.
LibreCat: /record/51334
arXiv: 	2402.06376

Peitz, Sebastian, Jan Stenner, Vikas Chidananda, Oliver Wallscheid, Steven L. Brunton, and Kunihiko Taira. “Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning.”https://doi.org/10.1016/j.physd.2024.134096__Physica D: Nonlinear Phenomena 461 (2024): 134096.https://doi.org/10.1016/j.physd.2024.134096 .
LibreCat: /record/40171
DOI: 10.1016/j.physd.2024.134096

Otto, Samuel E., Sebastian Peitz, and Clarence W. Rowley. “Learning Bilinear Models of Actuated Koopman Generators from  Partially-Observed Trajectories.”https://doi.org/10.1137/22M1523601__SIAM Journal on Applied Dynamical Systems 23, no. 1 (2024): 885–923.https://doi.org/10.1137/22M1523601 .
LibreCat: /record/33461
DOI: 10.1137/22M1523601
arXiv: 2209.09977

Philipp, Friedrich, Manuel Schaller, Karl Worthmann, Sebastian Peitz, and Feliks Nüske. “Error Bounds for Kernel-Based Approximations of the Koopman Operator.”https://doi.org/10.1016/j.acha.2024.101657__Applied and Computational Harmonic Analysis  71 (2024).https://doi.org/10.1016/j.acha.2024.101657 .
LibreCat: /record/38031
DOI: 10.1016/j.acha.2024.101657
arXiv: 2301.08637

Harder, Hans, and Sebastian Peitz. “Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines,” n.d.
LibreCat: /record/53793

Harder, Hans, and Sebastian Peitz. “On the Continuity and Smoothness of the Value Function in Reinforcement Learning and Optimal Control,” 2024.
LibreCat: /record/52758

Akhter, Junaid, Paul David Fährmann, Konstantin Sonntag, and Sebastian Peitz. “Common Pitfalls to Avoid While Using Multiobjective Optimization in Machine Learning.” ArXiv, 2024.
LibreCat: /record/53858

Peitz, Sebastian, and Katharina Bieker. “On the Universal Transformation of Data-Driven Models to Control Systems.”https://doi.org/10.1016/j.automatica.2022.110840__Automatica 149 (2023).https://doi.org/10.1016/j.automatica.2022.110840 .
LibreCat: /record/21199
DOI: 10.1016/j.automatica.2022.110840

Werner, Stefan, and Sebastian Peitz. “Learning a Model Is Paramount for Sample Efficiency in Reinforcement  Learning Control of PDEs.” ArXiv:2302.07160, 2023.
LibreCat: /record/42160
arXiv: 2302.07160

Gebken, Bennet, Katharina Bieker, and Sebastian Peitz. “On the Structure of Regularization Paths for Piecewise Differentiable Regularization Terms.”https://doi.org/10.1007/s10898-022-01223-2__Journal of Global Optimization 85, no. 3 (2023): 709–41.https://doi.org/10.1007/s10898-022-01223-2 .
LibreCat: /record/27426
DOI: 10.1007/s10898-022-01223-2

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 .
LibreCat: /record/30125
DOI: 10.1016/j.ifacol.2023.02.029
arXiv: 2202.09084

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.
LibreCat: /record/46579
arXiv: 2307.15325

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 .
LibreCat: /record/23428
DOI: 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.
LibreCat: /record/46649
arXiv: 2308.12243

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 .
LibreCat: /record/21600
DOI: 10.1137/21M1412682
arXiv: arXiv:2104.03562

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 .
LibreCat: /record/46784
DOI: 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 .
LibreCat: /record/46813
DOI: 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.
LibreCat: /record/48502