Stochastic dynamics as a proof technique

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High-Accuracy Sampling for Diffusion Models and Log-Concave Distributions

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Efficient Reinforcement Learning for Diffusion Models

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Distributional Diffusion Models

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Finite-particles rates for drifting models

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Normalizing Flow Maps

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Optimal Inference Schedules for Masked Diffusion Models

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Understanding and enhancing diffusion model: a quantification of its generalizability, and a provably scalable test-time scaling method

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Global selection, local completion: a probabilistic anatomy of diffusion U-Net

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