Search Results for author:
Found 1 papers, 0 papers with code
Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian probability distributions
While score-based generative models (SGMs) have achieved remarkable success in enormous image generation tasks, their mathematical foundations are still limited.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
