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32 Publications
2024 | Preprint | LibreCat-ID: 51160 | 
Extended Dynamic Mode Decomposition: Sharp bounds on the sample efficiency
F.M. Philipp, M. Schaller, S. Boshoff, S. Peitz, F. Nüske, K. Worthmann, ArXiv:2402.02494 (2024).
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F.M. Philipp, M. Schaller, S. Boshoff, S. Peitz, F. Nüske, K. Worthmann, ArXiv:2402.02494 (2024).
2024 | Journal Article | LibreCat-ID: 46019 |
Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-Like Systems
K. Sonntag, S. Peitz, Journal of Optimization Theory and Applications (2024).
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K. Sonntag, S. Peitz, Journal of Optimization Theory and Applications (2024).
2024 | Preprint | LibreCat-ID: 51334 |
A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces
K. Sonntag, B. Gebken, G. Müller, S. Peitz, S. Volkwein, ArXiv:2402.06376 (2024).
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K. Sonntag, B. Gebken, G. Müller, S. Peitz, S. Volkwein, ArXiv:2402.06376 (2024).
2024 | Journal Article | LibreCat-ID: 40171 |
Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning
S. Peitz, J. Stenner, V. Chidananda, O. Wallscheid, S.L. Brunton, K. Taira, Physica D: Nonlinear Phenomena 461 (2024) 134096.
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S. Peitz, J. Stenner, V. Chidananda, O. Wallscheid, S.L. Brunton, K. Taira, Physica D: Nonlinear Phenomena 461 (2024) 134096.
2024 | Journal Article | LibreCat-ID: 33461 |
Learning Bilinear Models of Actuated Koopman Generators from Partially-Observed Trajectories
S.E. Otto, S. Peitz, C.W. Rowley, SIAM Journal on Applied Dynamical Systems 23 (2024) 885–923.
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S.E. Otto, S. Peitz, C.W. Rowley, SIAM Journal on Applied Dynamical Systems 23 (2024) 885–923.
2024 | Journal Article | LibreCat-ID: 38031 |
Error bounds for kernel-based approximations of the Koopman operator
F. Philipp, M. Schaller, K. Worthmann, S. Peitz, F. Nüske, Applied and Computational Harmonic Analysis 71 (2024).
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F. Philipp, M. Schaller, K. Worthmann, S. Peitz, F. Nüske, Applied and Computational Harmonic Analysis 71 (2024).
2024 | Preprint | LibreCat-ID: 53858 |
Common pitfalls to avoid while using multiobjective optimization in machine learning
J. Akhter, P.D. Fährmann, K. Sonntag, S. Peitz, ArXiv (2024).
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J. Akhter, P.D. Fährmann, K. Sonntag, S. Peitz, ArXiv (2024).
2024 | Journal Article | LibreCat-ID: 32447
Fast Convergence of Inertial Multiobjective Gradient-Like Systems with Asymptotic Vanishing Damping
K. Sonntag, S. Peitz, SIAM Journal on Optimization 34 (2024) 2259–2286.
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K. Sonntag, S. Peitz, SIAM Journal on Optimization 34 (2024) 2259–2286.
2024 | Conference Paper | LibreCat-ID: 46649 |
Multi-Objective Optimization for Sparse Deep Multi-Task Learning
S.S. Hotegni, M.B. Berkemeier, S. Peitz, in: 2024 International Joint Conference on Neural Networks (IJCNN), IEEE, Yokohama, Japan, 2024, p. 9.
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S.S. Hotegni, M.B. Berkemeier, S. Peitz, in: 2024 International Joint Conference on Neural Networks (IJCNN), IEEE, Yokohama, Japan, 2024, p. 9.
2023 | Journal Article | LibreCat-ID: 21199 |
On the Universal Transformation of Data-Driven Models to Control Systems
S. Peitz, K. Bieker, Automatica 149 (2023).
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S. Peitz, K. Bieker, Automatica 149 (2023).
2023 | Preprint | LibreCat-ID: 48502 |
Accelerating the analysis of optical quantum systems using the Koopman operator
S. Peitz, A. Hunstig, H. Rose, T. Meier, (2023).
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S. Peitz, A. Hunstig, H. Rose, T. Meier, (2023).
2023 | Preprint | LibreCat-ID: 51159 |
A multiobjective continuation method to compute the regularization path of deep neural networks
A.C. Amakor, K. Sonntag, S. Peitz, ArXiv (2023).
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A.C. Amakor, K. Sonntag, S. Peitz, ArXiv (2023).
2023 | Preprint | LibreCat-ID: 51158 |
Error analysis of kernel EDMD for prediction and control in the Koopman framework
F. Philipp, M. Schaller, K. Worthmann, S. Peitz, F. Nüske, ArXiv:2312.10460 (2023).
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F. Philipp, M. Schaller, K. Worthmann, S. Peitz, F. Nüske, ArXiv:2312.10460 (2023).
2023 | Preprint | LibreCat-ID: 46578 |
Multiobjective Optimization of Non-Smooth PDE-Constrained Problems
M. Bernreuther, M. Dellnitz, B. Gebken, G. Müller, S. Peitz, K. Sonntag, S. Volkwein, ArXiv:2308.01113 (2023).
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M. Bernreuther, M. Dellnitz, B. Gebken, G. Müller, S. Peitz, K. Sonntag, S. Volkwein, ArXiv:2308.01113 (2023).
2023 | Conference Paper | LibreCat-ID: 54838
Hybrid control of interconnected power converters using both expert-driven droop and data-driven reinforcement learning approaches
S. Boshoff, J. Stenner, D. Weber, M. Meyer, V. Chidananda, S. Peitz, O. Wallscheid, in: IEEE Power and Energy Student Summit (PESS), VDE, 2023, pp. 124–129.
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S. Boshoff, J. Stenner, D. Weber, M. Meyer, V. Chidananda, S. Peitz, O. Wallscheid, in: IEEE Power and Energy Student Summit (PESS), VDE, 2023, pp. 124–129.
2023 | Conference Paper | LibreCat-ID: 54839
ElectricGrid.jl – Automated modeling of decentralized electrical energy grids
M. Meyer, D. Weber, V. Chidananda, O. Schweins, J. Stenner, S. Boshoff, S. Peitz, O. Wallscheid, in: IEEE Power and Energy Student Summit (PESS), VDE, 2023, pp. 112–117.
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M. Meyer, D. Weber, V. Chidananda, O. Schweins, J. Stenner, S. Boshoff, S. Peitz, O. Wallscheid, in: IEEE Power and Energy Student Summit (PESS), VDE, 2023, pp. 112–117.
2023 | Preprint | LibreCat-ID: 42160 |
Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs
S. Werner, S. Peitz, ArXiv:2302.07160 (2023).
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S. Werner, S. Peitz, ArXiv:2302.07160 (2023).
2023 | Journal Article | LibreCat-ID: 27426 |
On the structure of regularization paths for piecewise differentiable regularization terms
B. Gebken, K. Bieker, S. Peitz, Journal of Global Optimization 85 (2023) 709–741.
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B. Gebken, K. Bieker, S. Peitz, Journal of Global Optimization 85 (2023) 709–741.
2023 | Conference Paper | LibreCat-ID: 30125 |
Towards reliable data-based optimal and predictive control using extended DMD
M. Schaller, K. Worthmann, F. Philipp, S. Peitz, F. Nüske, in: IFAC-PapersOnLine, 2023, pp. 169–174.
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M. Schaller, K. Worthmann, F. Philipp, S. Peitz, F. Nüske, in: IFAC-PapersOnLine, 2023, pp. 169–174.
2023 | Conference Paper | LibreCat-ID: 45695 |
Approximation Algorithms for Fair Range Clustering
S.S. Hotegni, S. Mahabadi, A. Vakilian, in: Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023., n.d.
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S.S. Hotegni, S. Mahabadi, A. Vakilian, in: Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023., n.d.