Search Results for author: M. Ehsan Abbasnejad

Found 2 papers, 0 papers with code

A Generative Adversarial Density Estimator

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.

Density Estimation Visual Dialog

Bayesian Conditional Generative Adverserial Networks

no code implementations17 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.

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