GAUDI: Geometry-Aware Diffusion for Calibrated Air-Quality Time-Series Imputation
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Abstract (arXiv)
Air-quality sensor outages often create contiguous missing blocks, where side information useful for isolated missingness may be less reliable. We study a block-specific, GAUDI-aligned conditional diffusion imputer that retains temporal and feature processing, visible-value and mask conditioning, variable identity, and diffusion-step information, while suppressing absolute time-position side embeddings. On ItalyAir (13 variables, length-32 windows, nominal 50% block missingness; three archived seeds), this feature-side configuration achieves RMSE 0.340, versus 0.355 for full context and 0.355 for local CSDI. The experiment isolates a geometry-aware conditioning effect under block missingness.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 17 of its 21 references that are in the map. First posted on arXiv 24 Sep 2026.
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References · 17
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- 2024TSI-Bench: Benchmarking Time Series Imputationcited by 33
- 2026How Early Is Early Enough? Design-Dependent Observation-Window Sufficiency in Subscription Churn Predictioncited by 8
- 2025Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learningcited by 7
5 more
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- 2025FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputationcited by 2
- 2026Decomposing Firm-Level Crisis Responses from Incomplete Market Signals: Evidence from China's IT Sector During COVID-19cited by 2
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