Derives closed-form optimal loss for unified diffusion models, provides variance-controlled estimators, and shows improved diagnosis, training schedules, and power-law scaling after subtracting the optimal value.
Generative modeling by estimating gradients of the data distribution
2 Pith papers cite this work. Polarity classification is still indexing.
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Diagnosing and Improving Diffusion Models by Estimating the Optimal Loss Value
Derives closed-form optimal loss for unified diffusion models, provides variance-controlled estimators, and shows improved diagnosis, training schedules, and power-law scaling after subtracting the optimal value.
- Factor-Based Conditional Diffusion Model for Contextual Portfolio Optimization