no code implementations • CVPR 2019 • M. Ehsan Abbasnejad, Qinfeng Shi, Anton van den Hengel, Lingqiao Liu
Allowing for a prior on the parameters of the model, we extend our density estimator to a Bayesian model where we can leverage the predictive variance to measure our confidence in the likelihood.
no code implementations • 17 Jun 2017 • M. Ehsan Abbasnejad, Qinfeng Shi, Iman Abbasnejad, Anton Van Den Hengel, Anthony Dick
Traditional GANs use a deterministic generator function (typically a neural network) to transform a random noise input $z$ to a sample $\mathbf{x}$ that the discriminator seeks to distinguish.