Author

Xiao-Jie Li

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#artificial intelligence Preprint Sep 2026

Radiomap Blind Prediction under Incomplete Observation: Error Characterization and Correctable Propagation-Prior Learning

Under incomplete observation, a population-level theory of deterministic radiomap blind prediction is established that identifies the conditional mean as its optimal target and separates prediction error into reducible predictor approximation and irreducible uncertainty caused by missing physical information.

Xiao-Jie Li, Yu Han, Han Fang et al. · 0 citations

#machine learning Preprint Sep 2026

Rethinking Radiomap Blind Prediction with Limited Environment and Configuration Representations

RadioDecomp is proposed, which treats a prior-guided predictor as a correctable base and uses deterministic residual refinement to learn its remaining predictable discrepancy, and is instantiate as RadioLSR (LoS-Shadow-Residual).

Xiao-Jie Li, Yu Han, Han Fang et al. · 0 citations