On Relativistic f-Divergences
Posted on01 Jul 2019
This paper provides a more rigorous look at Relativistic Generative Adversarial Networks (RGANs). We prove that the objective function of the discriminator...Read More
The relativistic discriminator: a key element missing from standard GAN
Posted on27 Jan 2019
In standard generative adversarial network (SGAN), the discriminator estimates the probability that the input data is real. The generator is trained to...Read More
A Learned Representation for Artistic Style
Posted on01 May 2017
The diversity of painting styles represents a rich visual vocabulary for the construction of an image. The degree to which one may...Read More
Deep Exponential Families
Posted on23 May 2015
We describe deep exponential families (DEFs), a class of latent variable models that are inspired by the hidden structures used in deep...Read More
Bounding the Test Log-Likelihood of Generative Model
Posted on24 Dec 2013
Several interesting generative learning algorithms involve a complex probability distribution over many random variables, involving intractable normalization constants or latent variable normalization....Read More
