Dayoung Kang

AROMMA: UNIFYING OLFACTORY EMBEDDINGS FOR SINGLE MOLECULES AND MIXTURES

Public olfaction datasets are small and fragmented across single molecules and mixtures, limiting learning of generalizable odor representations. Recent works either learn single-molecule embeddings or address mixtures via similarity or pairwise label prediction, leaving representations separate and…