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