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SPLICE: Latent Diffusion over JEPA Embeddings for Conformal Time-Series Inpainting
Generative models for time-series imputation achieve strong reconstruction accuracy, yet provide no finite-sample reliability guarantees, a critical limitation in power systems where imputed values inform dispatch and planning. We introduce SPLICE (Self-supervised Predictive Latent Inpainting with C
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