no code implementations • 20 Apr 2024 • Yuling Jiao, Lican Kang, Huazhen Lin, Jin Liu, Heng Zuo
Our theoretical analysis encompasses the establishment of end-to-end error analysis for learning distributions via the latent Schr{\"o}dinger bridge diffusion model.
no code implementations • 17 May 2018 • Kevin He, Jian Kang, Hyokyoung Grace Hong, Ji Zhu, Yanming Li, Huazhen Lin, Han Xu, Yi Li
Modern bio-technologies have produced a vast amount of high-throughput data with the number of predictors far greater than the sample size.
