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64 Publications
2024 | Preprint | LibreCat-ID: 51160 | 
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.
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| arXiv
2024 | Journal Article | LibreCat-ID: 46019 |
Sonntag, Konstantin, and Sebastian Peitz. “Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-Like Systems.” Journal of Optimization Theory and Applications, 2024. https://doi.org/10.1007/s10957-024-02389-3.
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2024 | Preprint | LibreCat-ID: 51334 |
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.
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| arXiv
2024 | Journal Article | LibreCat-ID: 40171 |
Peitz, Sebastian, Jan Stenner, Vikas Chidananda, Oliver Wallscheid, Steven L. Brunton, and Kunihiko Taira. “Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning.” Physica D: Nonlinear Phenomena 461 (2024): 134096. https://doi.org/10.1016/j.physd.2024.134096.
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2024 | Journal Article | LibreCat-ID: 33461 |
Otto, Samuel E., Sebastian Peitz, and Clarence W. Rowley. “Learning Bilinear Models of Actuated Koopman Generators from Partially-Observed Trajectories.” SIAM Journal on Applied Dynamical Systems 23, no. 1 (2024): 885–923. https://doi.org/10.1137/22M1523601.
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| arXiv
2024 | Journal Article | LibreCat-ID: 38031 |
Philipp, Friedrich, Manuel Schaller, Karl Worthmann, Sebastian Peitz, and Feliks Nüske. “Error Bounds for Kernel-Based Approximations of the Koopman Operator.” Applied and Computational Harmonic Analysis 71 (2024). https://doi.org/10.1016/j.acha.2024.101657.
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| arXiv
2024 | Preprint | LibreCat-ID: 53793 |
Harder, Hans, and Sebastian Peitz. “Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines,” n.d.
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2024 | Preprint | LibreCat-ID: 52758
Harder, Hans, and Sebastian Peitz. “On the Continuity and Smoothness of the Value Function in Reinforcement Learning and Optimal Control,” 2024.
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2024 | Preprint | LibreCat-ID: 53858 |
Akhter, Junaid, Paul David Fährmann, Konstantin Sonntag, and Sebastian Peitz. “Common Pitfalls to Avoid While Using Multiobjective Optimization in Machine Learning.” ArXiv, 2024.
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2023 | Journal Article | LibreCat-ID: 21199 |
Peitz, Sebastian, and Katharina Bieker. “On the Universal Transformation of Data-Driven Models to Control Systems.” Automatica 149 (2023). https://doi.org/10.1016/j.automatica.2022.110840.
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2023 | Preprint | LibreCat-ID: 42160 |
Werner, Stefan, and Sebastian Peitz. “Learning a Model Is Paramount for Sample Efficiency in Reinforcement Learning Control of PDEs.” ArXiv:2302.07160, 2023.
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| arXiv
2023 | Journal Article | LibreCat-ID: 27426 |
Gebken, Bennet, Katharina Bieker, and Sebastian Peitz. “On the Structure of Regularization Paths for Piecewise Differentiable Regularization Terms.” Journal of Global Optimization 85, no. 3 (2023): 709–41. https://doi.org/10.1007/s10898-022-01223-2.
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2023 | Conference Paper | LibreCat-ID: 30125 |
Schaller, Manuel, Karl Worthmann, Friedrich Philipp, Sebastian Peitz, and Feliks Nüske. “Towards Reliable Data-Based Optimal and Predictive Control Using Extended DMD.” In IFAC-PapersOnLine, 56:169–74, 2023. https://doi.org/10.1016/j.ifacol.2023.02.029.
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| arXiv
2023 | Preprint | LibreCat-ID: 46579 |
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.
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| arXiv
2023 | Journal Article | LibreCat-ID: 23428 |
Nüske, Feliks, Sebastian Peitz, Friedrich Philipp, Manuel Schaller, and Karl Worthmann. “Finite-Data Error Bounds for Koopman-Based Prediction and Control.” Journal of Nonlinear Science 33 (2023). https://doi.org/10.1007/s00332-022-09862-1.
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2023 | Preprint | LibreCat-ID: 46649 |
Hotegni, Sedjro Salomon, Sebastian Peitz, and Manuel Bastian Berkemeier. “Multi-Objective Optimization for Sparse Deep Neural Network Training.” ArXiv:2308.12243, 2023.
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| arXiv
2023 | Journal Article | LibreCat-ID: 21600
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.” SIAM Journal on Scientific Computing 45, no. 2 (2023): A579–95. https://doi.org/10.1137/21M1412682.
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| arXiv
2023 | Journal Article | LibreCat-ID: 46784 |
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.” Journal of Open Source Software 8, no. 89 (2023). https://doi.org/10.21105/joss.05616.
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2023 | Conference Paper | LibreCat-ID: 46813 |
Wohlleben, Meike Claudia, Lars Muth, Sebastian Peitz, and Walter Sextro. “Transferability of a Discrepancy Model for the Dynamics of Electromagnetic Oscillating Circuits.” In Proceedings in Applied Mathematics and Mechanics. Wiley, 2023. https://doi.org/10.1002/pamm.202300039.
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2023 | Preprint | LibreCat-ID: 48502 |
Peitz, Sebastian, Anna Hunstig, Hendrik Rose, and Torsten Meier. “Accelerating the Analysis of Optical Quantum Systems Using the Koopman Operator,” 2023.
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