Xingyu Pan

RamanPFN: learning from Raman spectral structure with a tabular foundation model

RamanPFN is presented, a spectral representation framework that encodes dependencies before TabPFN inference and establishes explicit spectral representation as an effective interface between high-dimensional Raman measurements and reusable tabular inference.