Hans Harder

Wissenschaftlicher Mitarbeiter

Scientific Machine Learning (Peitz)
Wissenschaftlicher Mitarbeiter
Mitglied - Wissenschaftlicher Mitarbeiter
Büro­anschrift:
Pohlweg 51
33098 Paderborn
Raum:
O4.119

Publikationen

Aktuelle Publikationen


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.


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.


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.


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.


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