What is predicted in the common simplified DDPM objective?
In the widely used simplified training objective for a denoising diffusion probabilistic model, a noisy sample is constructed as
xₜ = √ᾱₜ x₀ + √(1−ᾱₜ) ε.
What is the neural network commonly trained to predict using mean-squared error?
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