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#machine learning Preprint Oct 2026

Learning joint probabilistic weather forecasts from station observations alone

Assessing compound weather risks requires forecasts representing dependence between variables. CLARA (Calibrated Advection-Routing Attention) learns joint Gaussian predictive distributions of five surface variables from station observations alone, without numerical weather prediction or reanalysis; the approximately 28...

Chaeyeon Yi, Y. Seo · 0 citations
Preprint Sep 2026

Quantum mutual information statistics for detecting dependence-structure change points in time series

Detecting when the dependence between two components of a multivariate time series changes, while the marginals drift freely, requires a dependence-specific statistic. We take the inferential object to be a density operator -- the trace-normalised second moment of unit-norm random Fourier features of ranks -- rather th...

Jiwon Kang, Y. Seo · 0 citations

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