Artificial Intelligence #chebyshev polynomial#anisotropic rbf
Smooth-Basis Models Challenge Tree Ensembles in Tabular Regression Benchmark
A new study from Gerber, Luciano, Lloyd, and Huw benchmarks smooth-basis models (Chebyshev polynomial regressor, anisotropic RBF network, and a hybrid) against tree ensembles and a transformer on 55 tabular regression datasets. The transformer ranks first in accuracy but requires GPUs, while among CPU-viable models, smooth models and tree ensembles are statistically tied, with smooth models showing tighter generalization gaps.
Jun 17, 2026 1 source