2 papers
cs.LG2026
Lagrangian Flow Matching: A Least-Action Framework for Principled Path Design
Shukai Du, Junzhe Zhang, Yiming Li
Flow matching trains a neural velocity field by regression against a target velocity associated with a prescribed probability path connecting a simple initial distribution to the d…
math.NA2024
Element learning: a systematic approach of accelerating finite element-type methods via machine learning, with applications to radiative transfer
Shukai Du, Samuel N. Stechmann
In this paper, we propose a systematic approach for accelerating finite element-type methods by machine learning for the numerical solution of partial differential equations (PDEs)…