Uniform Inductive Spatio-Temporal Kriging
Inductive spatio-temporal kriging infers signals at unobserved locations from observed sensors, but real-world observations are often incomplete and exhibit block-wise missingness caused by failures, interruptions, or maintenance. A common impute-then-krige pipeline suffers from objective mismatch: better reconstruction on observed sensors does not necessarily improve downstream kriging, and value-dependent imputation bias can be propagated to unobserved nodes. We propose UniSTOK, a plug-and-play framework for inductive spatio-temporal kriging under incomplete observations. We first introduce Reliability-guided Signal Regulation (RSR), which estimates entry-wise reliability from temporal ...
| Authors | Lewei Xie, Haoyu Zhang, Yulong Chen et al. |
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| Primary category | cs.AI |
| Published | 5 March 2026 |
| Last updated at source | 9 May 2026 |
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