Paper全离散条件扩散模型有限样本保证
Finite-Sample Guarantees for Fully Discrete Conditional Diffusion Models
A paper establishing theoretical guarantees for conditional diffusion models under a fully discrete setting with finite training samples and finite denoising steps. It develops a unified analysis framework for statistical and numerical discretization errors, deriving finite-sample error upper bounds on the generated distribution.
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Oct 12
The paper "Finite-Sample Guarantees for Fully Discrete Conditional Diffusion Models" establishes finite-sample error guarantees for conditional diffusion models that are learned from data and implemented with a finite number of denoising steps.
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