Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions
Publication
, Preprint
Chen, H; Lee, H; Lu, J
November 3, 2022
Duke Scholars
Publication Date
November 3, 2022
Citation
APA
Chicago
ICMJE
MLA
NLM
Chen, H., Lee, H., & Lu, J. (2022). Improved Analysis of Score-based Generative Modeling: User-Friendly
Bounds under Minimal Smoothness Assumptions.
Chen, Hongrui, Holden Lee, and Jianfeng Lu. “Improved Analysis of Score-based Generative Modeling: User-Friendly
Bounds under Minimal Smoothness Assumptions,” November 3, 2022.
Chen H, Lee H, Lu J. Improved Analysis of Score-based Generative Modeling: User-Friendly
Bounds under Minimal Smoothness Assumptions. 2022.
Chen, Hongrui, et al. Improved Analysis of Score-based Generative Modeling: User-Friendly
Bounds under Minimal Smoothness Assumptions. 3 Nov. 2022.
Chen H, Lee H, Lu J. Improved Analysis of Score-based Generative Modeling: User-Friendly
Bounds under Minimal Smoothness Assumptions. 2022.
Publication Date
November 3, 2022