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20232026
most citedDeep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models

1 citations · 3 across the 8 of their papers we have counts for

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stat.ML2024

Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models

Yuchen Wu, Yuxin Chen, Yuting Wei

Diffusion models play a pivotal role in contemporary generative modeling, claiming state-of-the-art performance across various domains. Despite their superior sample quality, mains…

cs.LG2024★ 1 cited

Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models

Yuchen Wu, Minshuo Chen, Zihao Li +2

Diffusion models benefit from instillation of task-specific information into the score function to steer the sample generation towards desired properties. Such information is coine…