research
∙
07/06/2022
Exploring Generative Adversarial Networks for Text-to-Image Generation with Evolution Strategies
In the context of generative models, text-to-image generation achieved i...
share
research
∙
05/25/2021
Speed Benchmarking of Genetic Programming Frameworks
Genetic Programming (GP) is known to suffer from the burden of being com...
research
∙
03/12/2021
TensorGP – Genetic Programming Engine in TensorFlow
In this paper, we resort to the TensorFlow framework to investigate the ...
research
∙
01/31/2021
Demonstrating the Evolution of GANs through t-SNE
Generative Adversarial Networks (GANs) are powerful generative models th...
research
∙
07/13/2020
Exploring the Evolution of GANs through Quality Diversity
Generative adversarial networks (GANs) achieved relevant advances in the...
research
∙
04/09/2020
Using Skill Rating as Fitness on the Evolution of GANs
Generative Adversarial Networks (GANs) are an adversarial model that ach...
research
∙
12/12/2019
COEGAN: Evaluating the Coevolution Effect in Generative Adversarial Networks
Generative adversarial networks (GAN) present state-of-the-art results i...
research
∙
05/09/2019
Automatic Design of Artificial Neural Networks for Gamma-Ray Detection
The goal of this work is to investigate the possibility of improving cur...
research
∙
06/26/2018