This video delves into Denoising Diffusion Probabilistic Models (DDPM), a class of generative models that progressively refine data by reversing a diffusion process. It also touches on generative moment matching networks utilizing Maximum Mean Discrepancy (MMD) to measure the distance between distributions.

Keywords: Diffusion Models, DDPM, Generative Models, MMD, Moment Matching Networks.