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S. Le Corff

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#data science Jul 2026

Non-asymptotic Convergence of Stochastic Gradient Descent in Score-based Generative Models

This analysis quantifies the role of the reweighting factor in the score approximation error, providing theoretical guidance for weighting choices used in practice, and develops a Neural Tangent Kernel analysis tailored to diffusion training with stochastic gradients.

Stanislas Strasman, Sobihan Surendran, S. Le Corff · arXiv.org · 0 citations