activity
20162024
most citedFunctional Connectome of the Human Brain with Total Correlation

31 citations · 41 across the 7 of their papers we have counts for

collaborators

13 papers

cs.SD20242 cited

The Effect of Perceptual Metrics on Music Representation Learning for Genre Classification

Tashi Namgyal, Alexander Hepburn, Raul Santos-Rodriguez +2

The subjective quality of natural signals can be approximated with objective perceptual metrics. Designed to approximate the perceptual behaviour of human observers, perceptual met…

q-bio.NC202231 cited

Functional Connectome of the Human Brain with Total Correlation

Qiang Li, Greg Ver Steeg, Shujian Yu +1

Recent studies proposed the use of Total Correlation to describe functional connectivity among brain regions as a multivariate alternative to conventional pair-wise measures such a…

cs.CV2022

Paraphrasing Magritte's Observation

Jesus Malo

Contrast Sensitivity of the human visual system can be explained from certain low-level vision tasks (like retinal noise and optical blur removal), but not from others (like chroma…

stat.ML20206 cited

Information Theory in Density Destructors

J. Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls +2

Density destructors are differentiable and invertible transforms that map multivariate PDFs of arbitrary structure (low entropy) into non-structured PDFs (maximum entropy). Multiva…

cs.CV2019

Visual Illusions Also Deceive Convolutional Neural Networks: Analysis and Implications

A. Gomez-Villa, A. Martín, J. Vazquez-Corral +2

Visual illusions allow researchers to devise and test new models of visual perception. Here we show that artificial neural networks trained for basic visual tasks in natural images…

cs.CV20192 cited

Synthesizing Visual Illusions Using Generative Adversarial Networks

Alexander Gomez-Villa, Adrian Martín, Javier Vazquez-Corral +2

Visual illusions are a very useful tool for vision scientists, because they allow them to better probe the limits, thresholds and errors of the visual system. In this work we intro…