Author

Peter Ochs

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#machine learning Preprint Oct 2026

Euclidean Distance-Based Flow Matching

Flow Matching has recently become popular as a technique for generative modeling with applications in many domains. In the standard Flow Matching formulation, we interpret the vector field as the solution of a least-squares regression problem, which is known to be sensitive to contamination. Therefore we leverage the v...

Paul-Henrik Heilmann, Peter Ochs · 0 citations