ProCTI: Prototype-Refined Global Conditioning for Diffusion-Based Time Series Imputation
ProCTI is proposed, a diffusion-imputation framework that augments local conditioning with retrieved global dataset-level priors through learned prototypes through a hybrid conditioning mechanism that integrates this global context with local signals during reverse diffusion, enabling more accurate reconstruction under...
Fariza Rashid, Duc Van Le, Rahat Masood et al.
· 0 citations