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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 2.

Example photo-z conditional densities on the DR6 test set at ntrain = 121,626 for the three leading density estimators: TabPFN 2.5 (red, solid; foundation), FlexZBoost (gray, dashed; tree based), and Flow-Spline (blue, dotted; neural). The 3 × 3 grid cross-tabulates three r-magnitude bins (rows) against three zspec bins (columns); within each cell, the displayed object is chosen uniformly at random (fixed seed). The thin black line and triangle mark the spectroscopic redshift; the object identifier is shown in the top right of each panel. The bottom row and right column show faint and high-redshift cases, respectively.

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