research
∙
05/18/2023
SPENSER: Towards a NeuroEvolutionary Approach for Convolutional Spiking Neural Networks
Spiking Neural Networks (SNNs) have attracted recent interest due to the...
share
research
∙
03/30/2023
All You Need Is Sex for Diversity
Maintaining genetic diversity as a means to avoid premature convergence ...
research
∙
03/25/2023
Context Matters: Adaptive Mutation for Grammars
This work proposes Adaptive Facilitated Mutation, a self-adaptive mutati...
research
∙
02/01/2023
Structured mutation inspired by evolutionary theory enriches population performance and diversity
Grammar-Guided Genetic Programming (GGGP) employs a variety of insights ...
research
∙
07/12/2022
Adversarial Robustness Assessment of NeuroEvolution Approaches
NeuroEvolution automates the generation of Artificial Neural Networks th...
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...
research
∙
05/21/2022
Probabilistic Structured Grammatical Evolution
The grammars used in grammar-based Genetic Programming (GP) methods have...
research
∙
04/19/2022
Co-evolutionary Probabilistic Structured Grammatical Evolution
This work proposes an extension to Structured Grammatical Evolution (SGE...
research
∙
05/26/2021
On the Exploitation of Neuroevolutionary Information: Analyzing the Past for a More Efficient Future
Neuroevolutionary algorithms, automatic searches of neural network struc...
research
∙
03/23/2021
Evolving Learning Rate Optimizers for Deep Neural Networks
Artificial Neural Networks (ANNs) became popular due to their successful...
research
∙
03/15/2021
Probabilistic Grammatical Evolution
Grammatical Evolution (GE) is one of the most popular Genetic Programmin...
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
∙
07/08/2020
AutoLR: An Evolutionary Approach to Learning Rate Policies
The choice of a proper learning rate is paramount for good Artificial Ne...
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
∙
04/01/2020
Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution
The deployment of Machine Learning (ML) models is a difficult and time-c...
research
∙
04/01/2020
Incremental Evolution and Development of Deep Artificial Neural Networks
NeuroEvolution (NE) methods are known for applying Evolutionary Computat...
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
∙
12/12/2019
Coevolution of Generative Adversarial Networks
Generative adversarial networks (GAN) became a hot topic, presenting imp...
research
∙
10/05/2019
The Impact of Data Preparation on the Fairness of Software Systems
Machine learning models are widely adopted in scenarios that directly af...
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
∙
05/08/2019
Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks
This paper proposes a new extension to Deep Evolutionary Network Structu...
research
∙
01/04/2018
DENSER: Deep Evolutionary Network Structured Representation
Deep Evolutionary Network Structured Representation (DENSER) is a novel ...
research
∙
06/26/2017
