Why is z^2 added to the adversery?

[botev]

Specifically here

[f90]

See paper: "We add the log prior p(z) directly into the adversary T(x,z) so that it only has to learn the log density of the inference model q(z|x)". p(z) is proportional to z^2 since it is a standard normal Gaussian distribution.