48 citations · 112 across the 8 of their papers we have counts for
3 papers · 1 filter
Speed Benchmarking of Genetic Programming Frameworks
Francisco Baeta, João Correia, Tiago Martins +1
Genetic Programming (GP) is known to suffer from the burden of being computationally expensive by design. While, over the years, many techniques have been developed to mitigate thi…
TensorGP -- Genetic Programming Engine in TensorFlow
Francisco Baeta, João Correia, Tiago Martins +1
In this paper, we resort to the TensorFlow framework to investigate the benefits of applying data vectorization and fitness caching methods to domain evaluation in Genetic Programm…
Demonstrating the Evolution of GANs through t-SNE
Victor Costa, Nuno Lourenço, João Correia +1
Generative Adversarial Networks (GANs) are powerful generative models that achieved strong results, mainly in the image domain. However, the training of GANs is not trivial, presen…