Diffusion Scores
Chapter 17: Score Function and Energy-Based Models — Diffusion Preview
From the book
Chapter 17: Score Function and Energy-Based Models. In the chapter mind map this icon labels Diffusion Preview: Time-Indexed Scores. The discussion below is excerpted and lightly edited from § Opening in Mathematics for AI and Machine Learning.
Score functions, energy-based models, and score matching for sampling
What this drawing shows
What you see. Shows score fields $s_t(\mathbf{x})$ at increasing noise levels $t{=}0, t{=}1, \ldots, T$ in a diffusion process.
In the mind map. Chapter 17 — Diffusion Preview: Time-Indexed Scores. See From the book above for definitions, figures, and worked examples.
Where to read next
Read the full definitions, figures, and worked examples in Chapter 17: Score Function and Energy-Based Models — see the mind-map node Diffusion Preview: Time-Indexed Scores.