Author

Maxime Haddouche

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Preprint Jul 2026

Tightening the Score Matching Gap for Diffusion Models

Diffusion models (DMs) are a state-of-the-art generative method to approximately sample from an unknown distribution. Their training and evaluation primarily rely on an Evidence Lower Bound (ELBO), which relates the Kullback-Leibler (KL) divergence of model samples to the score matching loss along the path, which serve...

Benjamin Dupuis, Tyler Farghly, Maxime Haddouche et al. · 0 citations