7 Publications

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[7]
2026 | Preprint | LibreCat-ID: 67306 | OA LibreCat | Download (ext.)
 
[6]
2026 | Conference Paper | LibreCat-ID: 67299 | OA
Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems
H. Harder, A. Vishwasrao, L. Guastoni, R. Vinuesa, S. Peitz, in: G. Sukhatme, L. Lindemann, S. Tu, A. Wierman, N. Atanasov (Eds.), Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR, 2026, pp. 1601–1619.
LibreCat | DOI | Download (ext.)
 
[5]
2025 | Journal Article | LibreCat-ID: 46579 | OA
Equivariance and partial observations in Koopman operator theory for partial differential equations
S. Peitz, H. Harder, F. Nüske, F. Philipp, M. Schaller, K. Worthmann, Journal of Computational Dynamics 12 (2025) 305–324.
LibreCat | DOI | Download (ext.) | arXiv
 
[4]
2025 | Conference Paper | LibreCat-ID: 53793 | OA
Solving partial differential equations with equivariant extreme learning machines
H. Harder, S. Peitz, in: J. Berberich, A. Ianelli, F. Allgöwer (Eds.), Systems Theory in Data and Optimization, Springer, Cham, 2025, pp. 153–168.
LibreCat | DOI | Download (ext.)
 
[3]
2025 | Journal Article | LibreCat-ID: 67314
Group Convolutional Extended Dynamic Mode Decomposition
H. Harder, S. Peitz, F. Nüske, F. Philipp, M. Schaller, K. Worthmann, Physica D: Nonlinear Phenomena 480 (2025) 134725.
LibreCat | DOI
 
[2]
2025 | Preprint | LibreCat-ID: 67318
Surrogate Modeling of 3D Rayleigh-Bénard Convection with Equivariant Autoencoders
F. Fromme, C. Allen-Blanchette, H. Harder, S. Peitz, ArXiv:2505.13569 (2025).
LibreCat
 
[1]
2024 | Conference Paper | LibreCat-ID: 52758
On the continuity and smoothness of the value function in reinforcement learning and optimal control
H. Harder, S. Peitz, in: IEEE 63rd Conference on Decision and Control (CDC), IEEE, 2024, pp. 1935–1940.
LibreCat | DOI
 

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7 Publications

Mark all

[7]
2026 | Preprint | LibreCat-ID: 67306 | OA LibreCat | Download (ext.)
 
[6]
2026 | Conference Paper | LibreCat-ID: 67299 | OA
Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems
H. Harder, A. Vishwasrao, L. Guastoni, R. Vinuesa, S. Peitz, in: G. Sukhatme, L. Lindemann, S. Tu, A. Wierman, N. Atanasov (Eds.), Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR, 2026, pp. 1601–1619.
LibreCat | DOI | Download (ext.)
 
[5]
2025 | Journal Article | LibreCat-ID: 46579 | OA
Equivariance and partial observations in Koopman operator theory for partial differential equations
S. Peitz, H. Harder, F. Nüske, F. Philipp, M. Schaller, K. Worthmann, Journal of Computational Dynamics 12 (2025) 305–324.
LibreCat | DOI | Download (ext.) | arXiv
 
[4]
2025 | Conference Paper | LibreCat-ID: 53793 | OA
Solving partial differential equations with equivariant extreme learning machines
H. Harder, S. Peitz, in: J. Berberich, A. Ianelli, F. Allgöwer (Eds.), Systems Theory in Data and Optimization, Springer, Cham, 2025, pp. 153–168.
LibreCat | DOI | Download (ext.)
 
[3]
2025 | Journal Article | LibreCat-ID: 67314
Group Convolutional Extended Dynamic Mode Decomposition
H. Harder, S. Peitz, F. Nüske, F. Philipp, M. Schaller, K. Worthmann, Physica D: Nonlinear Phenomena 480 (2025) 134725.
LibreCat | DOI
 
[2]
2025 | Preprint | LibreCat-ID: 67318
Surrogate Modeling of 3D Rayleigh-Bénard Convection with Equivariant Autoencoders
F. Fromme, C. Allen-Blanchette, H. Harder, S. Peitz, ArXiv:2505.13569 (2025).
LibreCat
 
[1]
2024 | Conference Paper | LibreCat-ID: 52758
On the continuity and smoothness of the value function in reinforcement learning and optimal control
H. Harder, S. Peitz, in: IEEE 63rd Conference on Decision and Control (CDC), IEEE, 2024, pp. 1935–1940.
LibreCat | DOI
 

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