AINeutralarXiv – CS AI · 9h ago6/10
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GOTabPFN: From Feature Ordering to Compact Tokenization for Tabular Foundation Models on High-Dimensional Data
Researchers introduce GOTabPFN, a novel approach for applying tabular foundation models to high-dimensional, low-sample-size datasets without retraining large models. The method combines Graph-guided Ordering with Local Refinement (GO-LR) and Neuro-Inspired Subunit Compression (NSC) to create compact token representations, improving prediction accuracy and stability under constrained computational budgets.