SIREN is a ~100k-parameter Transformer that detects SIRs with ROC-AUC 0.93 on held-out data and attributes 24% importance to proton density and 13-17% to transverse velocity, identifying flow deflection as a consistent signature.
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Finding Novel Precursors for Solar Wind Stream Interaction Regions with Interpretable Deep Learning
SIREN is a ~100k-parameter Transformer that detects SIRs with ROC-AUC 0.93 on held-out data and attributes 24% importance to proton density and 13-17% to transverse velocity, identifying flow deflection as a consistent signature.