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01 ·Generative Models·★ MEMBER·PAPER·11 min read The Mathematics of Diffusion — Generation Seen Through Scores and SDEs A layer beneath 'add noise, then subtract it': diffusion models restated in the language of the score, the gradient of log-density. Why denoising and score estimation are literally the same job, what the forward SDE, reverse SDE and probability flow ODE actually assert, and how those equations turn into the knobs you set at inference time.