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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

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cs.IT2017★ 5 cited

Information geometry, simulation and complexity in Gaussian random fields

Alexandre L. M. Levada

Random fields are useful mathematical objects in the characterization of non-deterministic complex systems. A fundamental issue in the evolution of dynamical systems is how intrins…