Sol Park

Beyond Generative Priors: Minority Sampling with JEPA-Guided Diffusion

Minority sampling aims to generate low-density instances on a data manifold and is of central importance in applications such as medical diagnosis, anomaly detection, and creative AI. Existing approaches, however, define minority samples relative to generative priors learned from training data, conf…