2026
Generative Modeling with Probabilistic Constraints
ICML 2026poster
Generative models such as diffusion models and transformers are powerful tools for learning complex data distributions and generating new samples. However, their black-box nature limits interpretability, and the learned distributions may violate side knowledge arising from domain expertise. We repre…