Multimodal CNN-MLP model classifies Gaia DR3 eclipsing binaries into EA/EB/EW with >95% accuracy on synthetic data, yielding 40/30/30% distribution.
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Classification of Eclipsing Binary Light Curves in Gaia DR3: A Machine Learning Approach
Multimodal CNN-MLP model classifies Gaia DR3 eclipsing binaries into EA/EB/EW with >95% accuracy on synthetic data, yielding 40/30/30% distribution.