2024
Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution Data
AAAI 2024technical
This work tackles the important task of understanding out-of-distribution behavior in two prominent types of generative models, i.e., GANs and Diffusion models. Understanding this behavior is crucial in understanding their broader utility and risks as these systems are increasingly deployed in our d…