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E. Kemperman

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#machine learning Preprint Oct 2026

Adaptive Second-Order Solvers for Fast Stochastic Diffusion Sampling

Diffusion models rely on numerical solvers requiring time-discretization, which has a large influence on the tradeoff between sampling cost and quality. However, the computational difficulty of the reverse process varies along the sampling trajectory and across data distributions, making the choice of discretization im...

E. Kemperman, Luca Ambrogioni · 0 citations

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