This is a fine list, but it only covers a specific type of generative AI. Any set of resources about AI in general has to at least include the truly canonical Norvig & Russel textbook [1].
Probably also canonical are Goodfellow's Deep Learning [2], Koller & Friedman's PGMs [3], the Krizhevsky ImageNet paper [4], the original GAN [5], and arguably also the AlphaGo paper [6] and the Atari DQN paper [7].
Probably also canonical are Goodfellow's Deep Learning [2], Koller & Friedman's PGMs [3], the Krizhevsky ImageNet paper [4], the original GAN [5], and arguably also the AlphaGo paper [6] and the Atari DQN paper [7].
[1] https://aima.cs.berkeley.edu/
[2] https://www.deeplearningbook.org/
[3] https://www.amazon.com/Probabilistic-Graphical-Models-Princi...
[4] https://proceedings.neurips.cc/paper_files/paper/2012/file/c...
[5] https://arxiv.org/abs/1406.2661
[6] https://www.nature.com/articles/nature16961
[7] https://www.nature.com/articles/nature14236