most citedPhysics Informed Constrained Learning of Dynamics from Static Data

1 citations · 2 across the 5 of their papers we have counts for

collaborators
Showing q-fin.MFShow all

1 paper · 1 filter

q-fin.MF2025

Data-driven Feynman-Kac Discovery with Applications to Prediction and Data Generation

Qi Feng, Guang Lin, Purav Matlia +1

In this paper, we propose a novel data-driven framework for discovering probabilistic laws underlying the Feynman-Kac formula. Specifically, we introduce the first stochastic SINDy…