2026
Provable Separations between Memorization and Generalization in Diffusion Models
ICLR 2026poster
Diffusion models have achieved remarkable success across diverse domains, but they remain vulnerable to memorization---reproducing training data rather than generating novel outputs. This not only limits their creative potential but also raises concerns about privacy and safety. While empirical stud…