xRFM: Accurate, scalable, and interpretable feature learning models for tabular data
arXiv:2508.10053v3 Announce Type: replace-cross
Abstract: Inference from tabular data, collections of continuous and categorical variables organized into matrices, is a foundation for modern technology and science. Yet, in contrast to the explosive ch…