3.1 Forward process and LT
We ignore the fact that the forward process variances βt are learnable by reparameterization and
instead ﬁx them to constants (see Section 4 for details). Thus, in our implementation, the approximate
posterior q has no learnable parameters, so LT is a constant during training and can be ignored.
Denoising Diffusion Probabilistic Models