Tag: flow matching

ScientificML

Proposes test-time trained flow matching for Bayesian filtering, enabling continuous distribution representation for state estimation in high-dimensional physical systems.

CFD

Proposes WaveOp-LiteFM, a lightweight neural-operator flow matching approach that addresses the trade-off between computational cost and accuracy in satellite-to-radar precipitation retrieval for atmospheric remote sensing applications.