Séminaire PASTA, 4 avril 2025

Theoretical Advances in Score-Based Generative Models: Convergence Bounds and Noise Schedule Optimization Antonio OCELLO (CMAP, Ecole Polytechnique) Résumé : Score-based generative models (SGMs) have emerged as a state-of-the-art framework for sampling from complex data distributions, leveraging the estimation of score functions through noise-perturbed samples. A central challenge in understanding SGMs…

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