Jul 2026
Neural operator discovery from heterogeneous trajectories
A factorized latent-conditioning formulation is introduced that jointly learns a neural operator and a low-dimensional latent representation through factorized prediction, trajectory-decoupled sampling, and dimension selection that enables generalization to previously unseen system instances.
Zi-Tuo Chen, Qiaofeng Li, Jia-Xin Hu et al.
· arXiv.org · 1 citation