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Pierre Marion

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#machine learning Preprint Oct 2026

Diffusion Removes Langevin's Conditioning Dependence: A Sharp Gaussian Analysis

Despite their empirical success, why diffusion models overcome the bottlenecks of classical score-based samplers remains unclear. In this work, we leverage Gaussian distributions to isolate this phenomenon. We establish 2-Wasserstein convergence bounds for optimized hyperparameters, showing that diffusion processes ach...

Adam Perbost, Francis R. Bach, Pierre Marion · 0 citations

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