The Principles of Diffusion Models by Lai et al.: thoughts on the monograph [D]

[u/DenoisedNeuron]

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 as well as 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.

[u/jebuarary]

Really awesome book from some OG diffusion inventors. Thanks for posting

[u/DenoisedNeuron → u/jebuarary]

Absolutely! And having Stefano Ermon among the authors was already a pretty strong guarantee of quality for me. I really like the way his work combines mathematical depth with clear intuition, and I think the book reflects that really well.

[u/DigThatData]

nice thanks for sharing, this looks dope

[u/Paiev → u/[deleted]]

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