The Principles of Diffusion Models by Lai et al.: thoughts on the monograph [D]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
I recently finished The Principles of Diffusion Models, and honestly I think it’s exceptional.
The authors strike a really good balance between mathematical rigor and intuition, with dedicated appendices for anyone who wants to go deeper into the math.
It’s aimed at researchers, graduate students, and practitioners with basic deep learning knowledge, so you don’t need to already specialize in diffusion models (in my case, a strong background in Information and Probability Theory and a solid understanding of DDPMs helped me get more out of it).
Just wanted to share it in case anyone missed it. The full text is freely available on the official website.
Has anyone else read it? Would love to hear your thoughts.
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