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arXiv Machine Learning By Li Zeng, Xiaoliang Wan, Yaobin Wang, Fabio Nobile, Tao Zhou

A transition-density-based operator learning method for Fokker-Planck equations with various initial conditions

Read the original on arXiv Machine Learning →

arXiv:2606. 09434v2 Announce Type: replace Abstract: Solving Fokker-Planck equations (FPEs) for multiple initial conditions typically requires repeated computations, leading to substantial computational costs.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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