Hybrid CNN-Transformer model for automated exoplanet transit detection on NASA Kepler light curves. Features dual scale CNN branches, Transformer based sequence modelling, Grad CAM + SHAP + attention explainability, and Monte Carlo Dropout uncertainty quantification. 5 fold cross validated with baseline comparisons.
python machine-learning research deep-learning nasa space-science grad-cam pytorch transformer astrophysics kepler uncertainty-quantification convolutional-neural-network time-series-classification explainable-ai xai shap monte-carlo-dropout exoplanet-detection transit-photometry
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Updated
Apr 26, 2026 - Python