New Theory for Diffusion Training: Optimal Noise Sampling at Discrete Levels
LucaAmb · x · 2026-08-11
The author shares a theoretical study on optimal training for diffusion models: From Atoms to Entropy: Optimal Noise Allocation for Diffusion Training in the Convex Regime.
The theory expresses the optimization problem through its spatio-temporal Fisher geometry in the convex regime. It reaches a striking conclusion: under optimal training strategies, sample noise should be allocated at discrete noise levels, and the optimal schedule possesses a finite set of atoms.
Related event: New Theory Proposes Optimal Noise Allocation for Diffusion Model Training(2 posts)→
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