Machine Learning, Diffusion Models, Drug Discovery.
Diffusion Process Suppose we have some real data (e.g. an image) that we call x₀, which is a sample from a true data distribution we wish to learn x₀~ p(x). We can define a forward diffusion process (q) which will gradually add a small amount of Gaussian Noise to the sample over T steps (where T is