GOTabPFN combines GO-LR ordering (equivalent to weighted minimum linear arrangement) and NSC compression to enable practical TabPFN-style prediction on HDLSS tabular data under tight token budgets, improving stability and accuracy.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
GOTabPFN: From Feature Ordering to Compact Tokenization for Tabular Foundation Models on High-Dimensional Data
GOTabPFN combines GO-LR ordering (equivalent to weighted minimum linear arrangement) and NSC compression to enable practical TabPFN-style prediction on HDLSS tabular data under tight token budgets, improving stability and accuracy.