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cs.LG2024
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation
S. Zhang, S. Wang, H. Miao +3
Multivariant time series (MTS) data are usually incomplete in real scenarios, and imputing the incomplete MTS is practically important to facilitate various time series mining task…
cs.LG2023
sasdim: self-adaptive noise scaling diffusion model for spatial time series imputation
Shunyang Zhang, Senzhang Wang, Xianzhen Tan +3
Spatial time series imputation is critically important to many real applications such as intelligent transportation and air quality monitoring. Although recent transformer and diff…