Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation
Accurate imputation is essential for the reliabilityand success of downstream tasks. Recently, diffusion models haveattracted great attention in this field. However, these models neglect the latent distribution in a lower-dimensional space derivedfrom the observed data, which limits the generative capacityof the diffusion model. Additionally, dealing with the originalmissing data without labels be