GBDT-Guided Piecewise-Linear (GGPL) embeddings are introduced, which leverage GBDTs to provide a strong data-driven prior for breakpoint placement and fine-tune these breakpoints via gradient descent, which establishes GGPL as an effective numerical embedding for deep tabular regression.
Min-Kook Suh, M. Eo, Kyungeun Lee et al.· Proceedings of the 32nd ACM...· 0 citations
GBDT-Guided Piecewise-Linear (GGPL) embeddings are introduced, which leverage GBDTs to provide a strong data-driven prior for breakpoint placement and fine-tune these breakpoints via gradient descent, which establishes GGPL as an effective numerical embedding for deep tabular regression.
Min-Kook Suh, Moonjung Eo, Kyungeun Lee et al.· Proceedings of the 32nd ACM...· 0 citations
These results establish EXAONE Tabular as a state-of-the-art compact tabular foundation model family, combining strong predictive performance across classification, point regression, and probabilistic regression with an efficient model design.
M. Eo, Min-Kook Suh, Hye-Seung Cho et al.· 7 citations· ⚡2
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