Evolved GANs for generating Pareto set approximations
In machine learning, generative models are used to create data samples that mimic the
characteristics of the training data. Generative adversarial networks (GANs) are neural …
characteristics of the training data. Generative adversarial networks (GANs) are neural …
Expanding variational autoencoders for learning and exploiting latent representations in search distributions
In the past, evolutionary algorithms (EAs) that use probabilistic modeling of the best
solutions incorporated latent or hidden variables to the models as a more accurate way to …
solutions incorporated latent or hidden variables to the models as a more accurate way to …