Little Book of Generative AI Foundations offers a mathematical primer on generative models
AIA revised arXiv preprint by Tianhua Chen, a 195-page book, gives a derivation-focused introduction to generative AI's mathematical foundations. It connects PCA, probabilistic PCA, variational autoencoders, diffusion models, normalising flows, GANs, Wasserstein GANs, and energy-based models, and adds visual explanations in version 2.
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Hacker News · AI (150+ points) · ibobev · arxiv.orgPublished · added here
Original title: The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer