Using S-PLUS DR6 data, the authors find that the frozen, off-the-shelf TabPFN 2.5 matches or outperforms eight bespoke photo-z estimators on nearly all density and point metrics, with the clearest gains at small training sizes and in faint, bright, and high-redshift regimes.
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Tabular foundation models for the estimation of probabilistic quasar photometric redshifts in S-PLUS
Using S-PLUS DR6 data, the authors find that the frozen, off-the-shelf TabPFN 2.5 matches or outperforms eight bespoke photo-z estimators on nearly all density and point metrics, with the clearest gains at small training sizes and in faint, bright, and high-redshift regimes.