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Juseong Kim

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#artificial intelligence Preprint Aug 2026

Adaptive Multi-Branching for Shallow Decision Tree Induction

This work proposes the Multi-Branch Neural Decision Tree with Adaptive Pruning (MBNDT), a single axis-aligned tree trained end-to-end with differentiable multi-way splits that achieves the best average rank and mean balanced accuracy among depth-constrained single-tree baselines.

H. Park, Jeonghoon Choi, Juseong Kim et al. · 0 citations