PresGAN
Prescribed Generative Adversarial Network
**Prescribed GANs** add noise to the output of a density network and optimize an entropy-regularized adversarial loss. The added noise renders tractable approximations of the predictive log-likelihood and stabilizes the training procedure. The entropy regularizer encourages PresGANs to capture all the modes of the data distribution. Fitting PresGANs involves computing the intractable gradients of the [entropy regularization](https://paperswithcode.com/method/entropy-regularization) term; PresGANs sidestep this intractability using
unbiased stochastic estimates.
Prescribed Generative Adversarial Networks
https://paperswithcode.com/paper/prescribed-generative-adversarial-networks
Prescribed Generative Adversarial Networks