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20112024
most citedLearning from Complex Systems: On the Roles of Entropy and Fisher Information in Pairwise Isotropic Gaussian Markov Random Fields

10 citations · 15 across the 8 of their papers we have counts for

collaborators

8 papers

cs.IT2024

An information-geometric approach for network decomposition using the q-state Potts model

Alexandre L. M. Levada

Complex networks are critical in many scientific, technological, and societal contexts due to their ability to represent and analyze intricate systems with interdependent component…

cs.IT2024

The geodesic dispersion phenomenon in random fields dynamics

Alexandre L. M. Levada

Random fields are ubiquitous mathematical structures in physics, with applications ranging from thermodynamics and statistical physics to quantum field theory and cosmology. Recent…

cs.IT2022

On the Kullback-Leibler divergence between pairwise isotropic Gaussian-Markov random fields

Alexandre L. M. Levada

The Kullback-Leibler divergence or relative entropy is an information-theoretic measure between statistical models that play an important role in measuring a distance between rando…

cs.IT2022

The Curvature Effect in Gaussian Random Fields

Alexandre L. M. Levada

Random field models are mathematical structures used in the study of stochastic complex systems. In this paper, we compute the shape operator of Gaussian random field manifolds usi…

cs.IT2021

Geodesic curves in Gaussian random field manifolds

Alexandre L. M. Levada

Random fields are mathematical structures used to model the spatial interaction of random variables along time, with applications ranging from statistical physics and thermodynamic…

cs.IT2021

On the curvatures of Gaussian random field manifolds

Alexandre L. M. Levada

Information geometry is concerned with the application of differential geometry concepts in the study of the parametric spaces of statistical models. When the random variables are…