FADTI: Advanced Time Series Imputation with Fourier and Attention

This research introduces a novel approach to multivariate time series imputation using Fourier transforms and attention mechanisms. The focus on diffusion models suggests a potential improvement over existing imputation techniques by leveraging the strengths of these advanced techniques.

• •Proposes a new model called FADTI for time series imputation.
• •Utilizes Fourier transforms and attention mechanisms.
• •The research likely targets improved accuracy and performance in time series data handling.