Deep Attention-Based Supernovae Classification of Multi-Band Light-Curves

no code implementations • 20 Jan 2022 • Óscar Pimentel, Pablo A. Estévez, Francisco Förster

We offer three main contributions: 1) Based on temporal modulation and attention mechanisms, we propose a Deep attention model (TimeModAttn) to classify multi-band light-curves of different SN types, avoiding photometric or hand-crafted feature computations, missing-value assumptions, and explicit imputation/interpolation methods.

Classification Deep Attention +3