Departments of Biostatistics & Bioinformatics, Computer Science, Mathematics, and Statistical Science at Duke University; Department of Mathematics at Massachusetts Institute of Technology; Department of EECS at University of California, Berkeley; Microsoft Research and Machine Learning Department at Carnegie Mellon University; Microsoft Research
Sitan Chen, Sinho Chewi, Jerry Li, Yuanzhi Li, Adil Salim, Anru Zhang
diffusion models;score-based generative models;sampling;score estimation;Langevin;stochastic differential equations
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions