AI RESEARCH
Uniform Inductive Spatio-Temporal Kriging
arXiv CS.AI
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ArXi:2603.05301v2 Announce Type: replace 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.