Data-driven joint representation and prediction of nonlinear dynamical systems 
from unlabeled trajectories

Feng, Jing; Wang, Xiaolong; Liu, Qi; Ma, Jinzhong; Yue, Xiaole; Leng, Siyang; Kurths, Jürgen; Xu, Yong

doi:10.1016/j.cma.2026.119192

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Data-driven joint representation and prediction of nonlinear dynamical systems from unlabeled trajectories

Authors

Feng, Jing
External Organizations;

Wang, Xiaolong
External Organizations;

Liu, Qi
External Organizations;

Ma, Jinzhong
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Yue, Xiaole
External Organizations;

Leng, Siyang
External Organizations;

/persons/resource/Juergen.Kurths

Kurths, Jürgen
Potsdam Institute for Climate Impact Research;

Xu, Yong
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Feng, J., Wang, X., Liu, Q., Ma, J., Yue, X., Leng, S., Kurths, J., Xu, Y. (2026 online): Data-driven joint representation and prediction of nonlinear dynamical systems from unlabeled trajectories. - Computer Methods in Applied Mechanics and Engineering, 461, Part A, 119192.
https://doi.org/10.1016/j.cma.2026.119192

Cite as: https://publications.pik-potsdam.de/pubman/item/item_35186

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