AINeutralarXiv – CS AI · 18h ago6/10
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FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation
Researchers introduce FADTI, a diffusion-based framework for multivariate time series imputation that combines Fourier frequency analysis with attention mechanisms to handle missing data in healthcare, traffic, and biological systems. The model demonstrates superior performance over existing methods, particularly when dealing with high missing data rates and distribution shifts.