105 citations · 321 across the 19 of their papers we have counts for
10 papers · 1 filter
On the Exploitation of Neuroevolutionary Information: Analyzing the Past for a More Efficient Future
Unai Garciarena, Nuno Lourenço, Penousal Machado +2
Neuroevolutionary algorithms, automatic searches of neural network structures by means of evolutionary techniques, are computationally costly procedures. In spite of this, due to t…
Exploring the Evolution of GANs through Quality Diversity
Victor Costa, Nuno Lourenço, João Correia +1
Generative adversarial networks (GANs) achieved relevant advances in the field of generative algorithms, presenting high-quality results mainly in the context of images. However, G…
AutoLR: An Evolutionary Approach to Learning Rate Policies
Pedro Carvalho, Nuno Lourenço, Filipe Assunção +1
The choice of a proper learning rate is paramount for good Artificial Neural Network training and performance. In the past, one had to rely on experience and trial-and-error to fin…
COEGAN: Evaluating the Coevolution Effect in Generative Adversarial Networks
Victor Costa, Nuno Lourenço, João Correia +1
Generative adversarial networks (GAN) present state-of-the-art results in the generation of samples following the distribution of the input dataset. However, GANs are difficult to…
Coevolution of Generative Adversarial Networks
Victor Costa, Nuno Lourenço, Penousal Machado
Generative adversarial networks (GAN) became a hot topic, presenting impressive results in the field of computer vision. However, there are still open problems with the GAN model,…
Automatic Design of Artificial Neural Networks for Gamma-Ray Detection
Filipe Assunção, João Correia, Rúben Conceição +4
The goal of this work is to investigate the possibility of improving current gamma/hadron discrimination based on their shower patterns recorded on the ground. To this end we propo…
Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks
Filipe Assunção, Nuno Lourenço, Penousal Machado +1
This paper proposes a new extension to Deep Evolutionary Network Structured Evolution (DENSER), called Fast-DENSER++ (F-DENSER++). The vast majority of NeuroEvolution methods that…
Evotype: Towards the Evolution of Type Stencils
Tiago Martins, João Correia, Ernesto Costa +1
Typefaces are an essential resource employed by graphic designers. The increasing demand for innovative type design work increases the need for good technological means to assist t…
DENSER: Deep Evolutionary Network Structured Representation
Filipe Assunção, Nuno Lourenço, Penousal Machado +1
Deep Evolutionary Network Structured Representation (DENSER) is a novel approach to automatically design Artificial Neural Networks (ANNs) using Evolutionary Computation. The algor…
Towards the Evolution of Multi-Layered Neural Networks: A Dynamic Structured Grammatical Evolution Approach
Filipe Assunção, Nuno Lourenço, Penousal Machado +1
Current grammar-based NeuroEvolution approaches have several shortcomings. On the one hand, they do not allow the generation of Artificial Neural Networks (ANNs composed of more th…