The paper ScoreMix: Synthetic Data Generation by Score Composition in Diffusion Models Improves Recognition (Parsa Rahimi, Sébastien Marcel) was presented at the International Conference on Machine Learning (ICML 2026) in Seoul, South Korea. ScoreMix leverages convex score mixing in diffusion models to synthesize challenging augmentations that improve recognition performance without requiring external data.