6 citations · 7 across the 6 of their papers we have counts for
6 papers
Towards evolution of Deep Neural Networks through contrastive Self-Supervised learning
Adriano Vinhas, João Correia, Penousal Machado
Deep Neural Networks (DNNs) have been successfully applied to a wide range of problems. However, two main limitations are commonly pointed out. The first one is that they require l…
Evaluation Metrics for Automated Typographic Poster Generation
Sérgio M. Rebelo, J. J. Merelo, João Bicker +1
Computational Design approaches facilitate the generation of typographic design, but evaluating these designs remains a challenging task. In this paper, we propose a set of heurist…
Towards Physical Plausibility in Neuroevolution Systems
Gabriel Cortês, Nuno Lourenço, Penousal Machado
The increasing usage of Artificial Intelligence (AI) models, especially Deep Neural Networks (DNNs), is increasing the power consumption during training and inference, posing envir…
All You Need Is Sex for Diversity
José Maria Simões, Nuno Lourenço, Penousal Machado
Maintaining genetic diversity as a means to avoid premature convergence is critical in Genetic Programming. Several approaches have been proposed to achieve this, with some focusin…
Context Matters: Adaptive Mutation for Grammars
Pedro Carvalho, Jessica Mégane, Nuno Lourenço +1
This work proposes Adaptive Facilitated Mutation, a self-adaptive mutation method for Structured Grammatical Evolution (SGE), biologically inspired by the theory of facilitated var…
Exploring Generative Adversarial Networks for Text-to-Image Generation with Evolution Strategies
Victor Costa, Nuno Lourenço, João Correia +1
In the context of generative models, text-to-image generation achieved impressive results in recent years. Models using different approaches were proposed and trained in huge datas…