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MIT 6.S184: Flow Matching and Diffusion Models - Lecture 1 - Generative AI with SDEs | Aman Agrawal | 10 comments
🎨 Creative AI Spent days going from - what is a vector field ? to understanding SOTA zero-shot TTS end to end VAE, diffusion, ODE solvers, classifier-free guidance - the whole stack from scratch - Flow matching: train a vector field with just MSE on velocity - no ODE during training, no complex ELBO, no SDE. Inference = simulate the learned ...
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2 months ago
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🔥This really ingenious paper (Categorical Flow Matching [1]) came out today. 🔥As I said yesterday, you can use generative AI to make images (or molecules) with certain properties and learn their full distribution by learning a flow between a reference distribution (usually n-dimensional Gaussian) and the target distribution you want to model (available as examples). 🔥And flow matching builds this flow by systematically taking pairs of points in the source and target (the target is your traini
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