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Benjamin Dupuis

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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
#machine learning Preprint Feb 2025

Generalization Bounds for Markov Algorithms through Entropy Flow Computations

This work builds on a principled continuous-time approximation of Markov algorithms and introduces a new, exact entropy flow formula for such processes, and establishes novel connections to a well-studied family of modified logarithmic Sobolev inequalities.

Benjamin Dupuis, Maxime Haddouche, George Deligiannidis et al. · 2 citations

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