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ProCTI: Prototype-Refined Global Conditioning for Diffusion-Based Time Series Imputation
Time series imputation has progressed from statistical and deep learning approaches to diffusion-based models, which have shown strong recent performance. Existing diffusion-based methods typically condition the reverse process using local contextual information from the current or neighbouring wind
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