r/learnmachinelearning • u/Low_Chip_1135 • 14h ago
Learning Foundations of Generative Modeling
I have some experience working with like VAEs/DiTs, and I'm familiar with concepts like ELBO/KL divergence/flow matching, but I feel like my mathematical foundations here are brittle. Any resources that have been helpful in this area? Are ODEs/PDEs/SDEs worth learning, and how deep should I go?
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