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32 Publications
2024 | Preprint | LibreCat-ID: 51160 |
Philipp FM, Schaller M, Boshoff S, Peitz S, Nüske F, Worthmann K. Extended Dynamic Mode Decomposition: Sharp bounds on the sample efficiency. arXiv:240202494. Published online 2024.
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| arXiv
2024 | Journal Article | LibreCat-ID: 46019 |
Sonntag K, Peitz S. Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-Like Systems. Journal of Optimization Theory and Applications. Published online 2024. doi:10.1007/s10957-024-02389-3
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2024 | Preprint | LibreCat-ID: 51334 |
Sonntag K, Gebken B, Müller G, Peitz S, Volkwein S. A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces. arXiv:240206376. Published online 2024.
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| arXiv
2024 | Journal Article | LibreCat-ID: 40171 |
Peitz S, Stenner J, Chidananda V, Wallscheid O, Brunton SL, Taira K. Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning. Physica D: Nonlinear Phenomena. 2024;461:134096. doi:10.1016/j.physd.2024.134096
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2024 | Journal Article | LibreCat-ID: 33461 |
Otto SE, Peitz S, Rowley CW. Learning Bilinear Models of Actuated Koopman Generators from Partially-Observed Trajectories. SIAM Journal on Applied Dynamical Systems. 2024;23(1):885-923. doi:10.1137/22M1523601
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| arXiv
2024 | Journal Article | LibreCat-ID: 38031 |
Philipp F, Schaller M, Worthmann K, Peitz S, Nüske F. Error bounds for kernel-based approximations of the Koopman operator. Applied and Computational Harmonic Analysis . 2024;71. doi:10.1016/j.acha.2024.101657
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| arXiv
2024 | Preprint | LibreCat-ID: 53858 |
Akhter J, Fährmann PD, Sonntag K, Peitz S. Common pitfalls to avoid while using multiobjective optimization in machine learning. arXiv. Published online 2024.
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2024 | Journal Article | LibreCat-ID: 32447
Sonntag K, Peitz S. Fast Convergence of Inertial Multiobjective Gradient-Like Systems with Asymptotic Vanishing Damping. SIAM Journal on Optimization. 2024;34(3):2259-2286. doi:10.1137/23M1588512
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2024 | Conference Paper | LibreCat-ID: 46649 |
Hotegni SS, Berkemeier MB, Peitz S. Multi-Objective Optimization for Sparse Deep Multi-Task Learning. In: 2024 International Joint Conference on Neural Networks (IJCNN). IEEE; 2024:9. doi:10.1109/IJCNN60899.2024.10650994
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2023 | Journal Article | LibreCat-ID: 21199 |
Peitz S, Bieker K. On the Universal Transformation of Data-Driven Models to Control Systems. Automatica. 2023;149. doi:10.1016/j.automatica.2022.110840
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2023 | Preprint | LibreCat-ID: 48502 |
Peitz S, Hunstig A, Rose H, Meier T. Accelerating the analysis of optical quantum systems using the Koopman operator. Published online 2023.
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2023 | Preprint | LibreCat-ID: 51159 |
Amakor AC, Sonntag K, Peitz S. A multiobjective continuation method to compute the regularization path of deep neural networks. arXiv. Published online 2023.
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2023 | Preprint | LibreCat-ID: 51158 |
Philipp F, Schaller M, Worthmann K, Peitz S, Nüske F. Error analysis of kernel EDMD for prediction and control in the Koopman framework. arXiv:231210460. Published online 2023.
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| arXiv
2023 | Preprint | LibreCat-ID: 46578 |
Bernreuther M, Dellnitz M, Gebken B, et al. Multiobjective Optimization of Non-Smooth PDE-Constrained Problems. arXiv:230801113. Published online 2023.
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| arXiv
2023 | Conference Paper | LibreCat-ID: 54838
Boshoff S, Stenner J, Weber D, et al. 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). VDE; 2023:124-129.
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2023 | Conference Paper | LibreCat-ID: 54839
Meyer M, Weber D, Chidananda V, et al. ElectricGrid.jl – Automated modeling of decentralized electrical energy grids. In: IEEE Power and Energy Student Summit (PESS). VDE; 2023:112-117.
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2023 | Preprint | LibreCat-ID: 42160 |
Werner S, Peitz S. Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs. arXiv:230207160. Published online 2023.
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| arXiv
2023 | Journal Article | LibreCat-ID: 27426 |
Gebken B, Bieker K, Peitz S. On the structure of regularization paths for piecewise differentiable regularization terms. Journal of Global Optimization. 2023;85(3):709-741. doi:10.1007/s10898-022-01223-2
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2023 | Conference Paper | LibreCat-ID: 30125 |
Schaller M, Worthmann K, Philipp F, Peitz S, Nüske F. Towards reliable data-based optimal and predictive control using extended DMD. In: IFAC-PapersOnLine. Vol 56. ; 2023:169-174. doi:10.1016/j.ifacol.2023.02.029
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| arXiv
2023 | Conference Paper | LibreCat-ID: 45695 |
Hotegni SS, Mahabadi S, Vakilian A. Approximation Algorithms for Fair Range Clustering. In: Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023.
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