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Tabular Foundation Models Dramatically Outperform Bespoke Photometric Redshift Estimators
Estimating galaxy redshifts (a proxy for distance) from imaging data alone, also known as photometric redshifts (photo-$z$'s), is essential for studies of extragalactic astrophysics and cosmology. However, data-driven estimators rely on spectroscopic training datasets, which are scarce and systemati
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