[r/ML] [N] MIT Flow Matching and Diffusion Lecture 2026

Summary

MIT has released its new 2026 course on flow matching and diffusion models, developed by Peter Holderrieth and Ezra Erives. This comprehensive course covers the full stack of modern AI image, video, and protein generators, offering both theoretical foundations and practical applications. It includes lecture videos, mathematically self-contained notes, and hands-on coding exercises, with improvements and new topics like latent spaces and diffusion transformers added since the last iteration.

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