On Relativistic f-Divergences
Posted on01/07/2019
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 on27/01/2019
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 on01/05/2017
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 on23/05/2015
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 on24/12/2013
Several interesting generative learning algorithms involve a complex probability distribution over many random variables, involving intractable normalization constants or latent variable normalization.... Read More