Markov Chains, James R. Norris, 1997 (Cambridge University Press)DOI: 10.1017/CBO9780511810633 - This textbook provides a foundational introduction to the theory and applications of Markov chains, serving as a reliable reference for their mathematical properties and definitions.
Denoising Diffusion Probabilistic Models, Jonathan Ho, Ajay Jain, and Pieter Abbeel, 2020Advances in Neural Information Processing Systems, Vol. 33 (Curran Associates, Inc.)DOI: 10.48550/arXiv.2006.11239 - This paper introduced Denoising Diffusion Probabilistic Models, explicitly defining the forward diffusion process as a fixed Markov chain that progressively adds Gaussian noise.