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29 Publications


2024 | Preprint | LibreCat-ID: 51160 | OA
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).
LibreCat | Download (ext.) | arXiv
 

2024 | Journal Article | LibreCat-ID: 46019 | OA
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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2024 | Preprint | LibreCat-ID: 51334 | OA
A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces
K. Sonntag, B. Gebken, G. Müller, S. Peitz, S. Volkwein, ArXiv:2402.06376 (2024).
LibreCat | Download (ext.) | arXiv
 

2024 | Journal Article | LibreCat-ID: 40171 | OA
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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2024 | Journal Article | LibreCat-ID: 33461 | OA
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.
LibreCat | DOI | Download (ext.) | arXiv
 

2024 | Journal Article | LibreCat-ID: 38031 | OA
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).
LibreCat | DOI | Download (ext.) | arXiv
 

2023 | Journal Article | LibreCat-ID: 21199 | OA
On the Universal Transformation of Data-Driven Models to Control Systems
S. Peitz, K. Bieker, Automatica 149 (2023).
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2023 | Preprint | LibreCat-ID: 42160 | OA
Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs
S. Werner, S. Peitz, ArXiv:2302.07160 (2023).
LibreCat | Download (ext.) | arXiv
 

2023 | Journal Article | LibreCat-ID: 27426 | OA
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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2023 | Conference Paper | LibreCat-ID: 30125 | OA
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.
LibreCat | DOI | Download (ext.) | arXiv
 

2023 | Conference Paper | LibreCat-ID: 45695 | OA
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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2023 | Preprint | LibreCat-ID: 46579 | OA
Partial observations, coarse graining and equivariance in Koopman operator theory for large-scale dynamical systems
S. Peitz, H. Harder, F. Nüske, F. Philipp, M. Schaller, K. Worthmann, ArXiv:2307.15325 (2023).
LibreCat | Download (ext.) | arXiv
 

2023 | Journal Article | LibreCat-ID: 23428 | OA
Finite-data error bounds for Koopman-based prediction and control
F. Nüske, S. Peitz, F. Philipp, M. Schaller, K. Worthmann, Journal of Nonlinear Science 33 (2023).
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2023 | Preprint | LibreCat-ID: 46649 | OA
Multi-Objective Optimization for Sparse Deep Neural Network Training
S.S. Hotegni, S. Peitz, M.B. Berkemeier, ArXiv:2308.12243 (2023).
LibreCat | Download (ext.) | arXiv
 

2023 | Journal Article | LibreCat-ID: 21600
Efficient time stepping for numerical integration using reinforcement learning
M. Dellnitz, E. Hüllermeier, M. Lücke, S. Ober-Blöbaum, C. Offen, S. Peitz, K. Pfannschmidt, SIAM Journal on Scientific Computing 45 (2023) A579–A595.
LibreCat | Files available | DOI | Download (ext.) | arXiv
 

2023 | Journal Article | LibreCat-ID: 46784 | OA
ElectricGrid.jl - A Julia-based modeling and simulationtool for power electronics-driven electric energy grids
O. Wallscheid, S. Peitz, J. Stenner, D. Weber, S. Boshoff, M. Meyer, V. Chidananda, O. Schweins, Journal of Open Source Software 8 (2023).
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2023 | Conference Paper | LibreCat-ID: 46813 | OA
Transferability of a discrepancy model for the dynamics of electromagnetic oscillating circuits
M.C. Wohlleben, L. Muth, S. Peitz, W. Sextro, in: Proceedings in Applied Mathematics and Mechanics, Wiley, 2023.
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2023 | Preprint | LibreCat-ID: 48502 | OA
Accelerating the analysis of optical quantum systems using the Koopman operator
S. Peitz, A. Hunstig, H. Rose, T. Meier, (2023).
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2023 | Preprint | LibreCat-ID: 51159 | OA
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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2023 | Preprint | LibreCat-ID: 51158 | OA
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).
LibreCat | Download (ext.) | arXiv
 

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