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68 Publications
2025 | Preprint | LibreCat-ID: 59880
Wohlleben, Meike Claudia, Jan Schütte, Manuel Bastian Berkemeier, Sebastian Peitz, and Walter Sextro. “Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings.” Springer Science and Business Media LLC, 2025.
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2025 | Conference Paper | LibreCat-ID: 62913
Hunstig, Anna, Sebastian Peitz, Hendrik Rose, and Torsten Meier. “Accelerating the Analysis of Optical Quantum Systems Using the Koopman Operator.” In 2024 IEEE 63rd Conference on Decision and Control (CDC). IEEE, 2025. https://doi.org/10.1109/cdc56724.2024.10886589.
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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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2024 | Journal Article | LibreCat-ID: 32447
Sonntag, Konstantin, and Sebastian Peitz. “Fast Convergence of Inertial Multiobjective Gradient-Like Systems with Asymptotic Vanishing Damping.” SIAM Journal on Optimization 34, no. 3 (2024): 2259–86. https://doi.org/10.1137/23M1588512.
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2024 | Conference Paper | LibreCat-ID: 46649 |
Hotegni, Sedjro Salomon, Manuel Bastian Berkemeier, and Sebastian Peitz. “Multi-Objective Optimization for Sparse Deep Multi-Task Learning.” In 2024 International Joint Conference on Neural Networks (IJCNN), 9. Yokohama, Japan: IEEE, 2024. https://doi.org/10.1109/IJCNN60899.2024.10650994.
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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: 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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2023 | Preprint | LibreCat-ID: 51159 |
Amakor, Augustina Chidinma, Konstantin Sonntag, and Sebastian Peitz. “A Multiobjective Continuation Method to Compute the Regularization Path of Deep Neural Networks.” ArXiv, 2023.
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2023 | Preprint | LibreCat-ID: 51158 |
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.
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| arXiv
2023 | Preprint | LibreCat-ID: 46578 |
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.
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| arXiv
2023 | Conference Paper | LibreCat-ID: 54838
Boshoff, Septimus, Jan Stenner, Daniel Weber, Marvin Meyer, Vikas Chidananda, Sebastian Peitz, and Oliver Wallscheid. “Hybrid Control of Interconnected Power Converters Using Both Expert-Driven Droop and Data-Driven Reinforcement Learning Approaches.” In IEEE Power and Energy Student Summit (PESS), 124–29. VDE, 2023.
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2023 | Conference Paper | LibreCat-ID: 54839
Meyer, Marvin, Daniel Weber, Vikas Chidananda, Oliver Schweins, Jan Stenner, Septimus Boshoff, Sebastian Peitz, and Oliver Wallscheid. “ElectricGrid.Jl – Automated Modeling of Decentralized Electrical Energy Grids.” In IEEE Power and Energy Student Summit (PESS), 112–17. VDE, 2023.
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