FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation 事件

FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation arXiv:2512.15116v2 Announce Type: replace-cross Abstract: Multivariate time series imputation is fundamental in applications such as healthcare, traffic forecasting, and biological modeling, where sensor failures and irregular sampling lead to pervasive missing values. However, existing Transformer- and diffusion-based models lack explicit inductive biases and frequency awareness, limiting their generalization