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Marta Gentiloni Silveri

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#machine learning Jun 2026

Diffusion Flow Matching: Dimension-Improved KL Bounds and Wasserstein Guarantees

This work provides refined and novel convergence guarantees for Brownian motion based DFMs, focusing on the discretization error, and derives KL convergence bounds with improved dimensional dependence compared to prior work, achieving, up to their knowledge, state-of-the-art scaling under minimal conditions.

Marta Gentiloni Silveri, Giovanni Conforti, Alain Durmus · 1 citation

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