AI RESEARCH
Correcting Source Mismatch in Flow Matching with Radial-Angular Transport
arXiv CS.LG
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ArXi:2604.04291v1 Announce Type: new Flow Matching is typically built from Gaussian sources and Euclidean probability paths. For heavy-tailed or anisotropic data, however, a Gaussian source induces a structural mismatch already at the level of the radial distribution. We We establish the exact density of the matched-radial source, prove a radial--angular KL decomposition that isolates the Gaussian radial penalty, characterize the induced target vector field, and derive a stability result linking Flow Matching error to generation error.