Author

F. Lara-Abelenda

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#graph neural networks Preprint Aug 2026

TabSOM: A tabular-to-image encoding method based on self-organizing maps

TabSOM is proposed, a tabular-to-image encoding built on the Self-Organizing Map, which provides a spatial layout in which every input feature occupies a fixed canvas position derived from its component plane via collision-free Hungarian assignment and a graph that captures pairwise feature relationships derived from the SOM component planes.

David Chushig-Muzo, María Ángeles Rodríguez de Cara, Eva Milara et al. · 0 citations

Preprint Aug 2026

Test-Time Augmentation for Tabular-to-Image Classifiers under Distribution Shifts

Results indicate that TTA improves OOD performance, with composite and photometric strategies providing the best trade-off between robustness and variance, in contrast to frequency-domain transformations that alter the encoder's feature-to-intensity mapping consistently degrade performance.

Malena Loza, Felipe Grijalva, Eva Milara et al. · 0 citations