Saeid Naderiparizi

Integration Matters: Rollout-Based Training for Constrained Diffusion Models

Xiaoxuan Liang, Saeid Naderiparizi, Berend Zwartsenberg, Frank Wood

Constrained generative models aim to produce samples that satisfy complex feasibility constraints while remaining faithful to the data distribution. Existing constrained generation methods typically enforce constraints either through training-time optimization or sampling-time co…Read more