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WaveStitch: Flexible and Fast Conditional Time Series Generation With Diffusion Models

Summary: WaveStitch: diffusion model with dual-source conditioning on metadata and partially observed signals, using a hybrid train/inference design (metadata in training, gradient-based guidance on observations at inference). Parallel window generation with stitching preserves coherence, giving ~1.8× lower MSE and up to 166× faster sampling vs autoregressive SOTA. (summarized by gpt-5-mini on Feb 11 2026)

Paper ID
7438
Venue
SIGMOD
Year
2026
Pagerank
4.1945683e-05
Overall Rank
10,128 | 29.55%
DOI
10.1145/3769842

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