46 citations · 79 across the 3 of their papers we have counts for
3 papers
Exploiting GAN Internal Capacity for High-Quality Reconstruction of Natural Images
Marcos Pividori, Guillermo L. Grinblat, Lucas C. Uzal
Generative Adversarial Networks (GAN) have demonstrated impressive results in modeling the distribution of natural images, learning latent representations that capture semantic var…
Class-Splitting Generative Adversarial Networks
Guillermo L. Grinblat, Lucas C. Uzal, Pablo M. Granitto
Generative Adversarial Networks (GANs) produce systematically better quality samples when class label information is provided., i.e. in the conditional GAN setup. This is still obs…
Optimal reconstruction of dynamical systems: A noise amplification approach
L. C. Uzal, G. L. Grinblat, P. F. Verdes
In this work we propose an objective function to guide the search for a state space reconstruction of a dynamical system from a time series of measurements. This statistics can be…