All posts by

Cristian Jesús Vaca Rubio

Rayleigh samples distribution estimation using GANs

Collaborator: Pablo Ramirez Espinosa, post-doctoral researcher, Connectivity Section, Aalborg University As presented in the post: https://ksp-windmill-itn.eu/index.php/2020/06/11/generative-adversarial-nets-from-general-to-theoretical-explanation/ 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…

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: http://papers.nips.cc/paper/5423-generative-adversarial-nets 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…