AI RESEARCH
DynaTab: Dynamic Feature Ordering as Neural Rewiring for High-Dimensional Tabular Data
arXiv CS.LG
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ArXi:2605.03430v1 Announce Type: new High-dimensional tabular data lacks a natural feature order, limiting the applicability of permutation-sensitive deep learning models. We propose DynaTab, a dynamic feature ordering-enabled architecture inspired by neural rewiring. We