45 citations · 126 across the 21 of their papers we have counts for
5 papers · 1 filter
Abstract Markov Random Fields
Leon Lang, Clélia de Mulatier, Rick Quax +1
Markov random fields are known to be fully characterized by properties of their information diagrams, or I-diagrams. In particular, for Markov random fields, regions in the I-diagr…
Information Decomposition Diagrams Applied beyond Shannon Entropy: A Generalization of Hu's Theorem
Leon Lang, Pierre Baudot, Rick Quax +1
In information theory, one major goal is to find useful functions that summarize the amount of information contained in the interaction of several random variables. Specifically, o…
Information processing features can detect behavioral regimes of dynamical systems
Rick Quax, Gregor Chliamovitch, Alexandre Dupuis +4
In dynamical systems, local interactions between dynamical units generate correlations which are stored and transmitted throughout the system, generating the macroscopic behavior.…
Quantifying synergistic information using intermediate stochastic variables
Rick Quax, Omri Har-Shemesh, Peter M. A. Sloot
Quantifying synergy among stochastic variables is an important open problem in information theory. Information synergy occurs when multiple sources together predict an outcome vari…
The diminishing role of hubs in dynamical processes on complex networks
Rick Quax, Andrea Apolloni, Peter M. A. Sloot
It is notoriously difficult to predict the behaviour of a complex self-organizing system, where the interactions among dynamical units form a heterogeneous topology. Even if the dy…