2026
RefiDiff: Progressive Refinement Diffusion for Efficient Missing Data Imputation
AAAI 2026technical
Missing values in high-dimensional, mixed-type datasets pose significant challenges for data imputation, particularly under Missing Not At Random (MNAR) mechanisms. Existing methods struggle to integrate local and global data characteristics, limiting performance in MNAR and high-dimensional setting