I'm looking for a modern machine learning book with graduate-level treatment of more recent topics such as diffusion and generative models, transformers etc.
I have a hard copy of Deep Learning by Goodfellow and Bengio; while I liked the book and read it extensively when it was published, it is a bit dated now.
I'm considering Probabilistic Machine Learning: Advanced Topics by Kevin Patrick Murphy. But maybe there are better alternatives.
I need this for my comprehensive Ph.D. examination. Any suggestions are very appreciated.
P.S. I'm also aware of this stack post, but the list of references there is quite dated or introductory.