A diffusion-based framework with frequency mixup and selective consistency alignment improves cross-domain time series imputation.
IEEE Transactions on Artificial Intelligence5(3), 1185–1194 (2023) 16 K
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Cross-Domain Conditional Diffusion Models for Time Series Imputation
A diffusion-based framework with frequency mixup and selective consistency alignment improves cross-domain time series imputation.