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On the Role of Strain and Vorticity in Numerical Integration Error for Flow Matching

May 11, 2026arXiv Machine Learning

Event Summary

arXiv:2605.06680v1 Announce Type: new Abstract: Flow matching generates data by integrating a learned velocity field, where the number of integration steps (NFE) directly determines inference cost. We analyze which properties of the velocity field govern integration error by decomposing the velocity

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