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Tabular Foundation Models for the Estimation of Probabilistic Quasar Photometric Redshifts in S-PLUS

  • Authors: Raquel R. Valença, Lilianne Nakazono, Rafael Izbicki, Marco Henrique de Almeida Inácio, Bruno Marcondes e Resende, Maycon Jorge Deláqua da Silva, Kiana Coimbra Buin Lins, Natanael M. Cardoso, Claudia Mendes de Oliveira

Raquel R. Valença et al 2026 The Astronomical Journal 172 .

  • Provider: AAS Journals

Caption: Figure 5.

Performance versus training-set size under the unweighted spectroscopic-test distribution. Each curve shows the mean over five repetitions, and error bars indicate ±1 SE. Methods are color coded by family (linear, tree-based, neural, foundation). Foundation models (red) lead the RMSE curve at every ntrain, while on the unweighted CDE loss they are matched at the largest sample size by the density-optimized baselines (Flow-Spline, FlexZBoost).

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