June 29, 2020
Rayleigh samples distribution estimation using GANs
Collaborator: Pablo Ramirez Espinosa, post-doctoral researcher, Connectivity Section, Aalborg University As presented in the previous post, GANs are a powerful framework for approximating the features distribution so as it is possible to generate fake samples that looks like real samples. In this post, in order to see some practical results of GANs approximation, we will…
Cristian Jesús Vaca Rubio
June 11, 2020
Generative Adversarial Nets: From general to theoretical explanation
The aim of this post is to provide a general understanding of GANs and a discussion of the potential of this concept. This post is based on the paper which introduced the framework for generative model estimation. In order to address this matter, the post is going to be divided into three main contributions as…