Preprint
Aug 2026
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.
Xingyu Pan, Huanfei Wang, Jin-Jia Guo et al.
· 1 citation