9 citations · 9 across the 1 of their papers we have counts for
6 papers
A partial information decomposition for discrete and continuous variables
Kyle Schick-Poland, Abdullah Makkeh, Aaron J. Gutknecht +3
Conceptually, partial information decomposition (PID) is concerned with separating the information contributions several sources hold about a certain target by decomposing the corr…
Partial Information Decomposition of Boolean Functions: a Fourier Analysis perspective
Abdullah Makkeh, Dirk Oliver Theis, Raul Vicente
Partial information decomposition (PID) partitions the information that a set of sources has about a target variable into synergistic, unique, and redundant contributions. This inf…
Introducing a differentiable measure of pointwise shared information
Abdullah Makkeh, Aaron J. Gutknecht, Michael Wibral
Partial information decomposition (PID) of the multivariate mutual information describes the distinct ways in which a set of source variables contains information about a target va…
MAXENT3D_PID: An Estimator for the Maximum-entropy Trivariate Partial Information Decomposition
Abdullah Makkeh, Daniel Chicharro, Dirk Oliver Theis +1
Chicharro (2017) introduced a procedure to determine multivariate partial information measures within the maximum entropy framework, separating unique, redundant, and synergistic c…
Optimizing Bivariate Partial Information Decomposition
Abdullah Makkeh, Dirk Oliver Theis
None of the BROJA information decomposition measures $\mbox{SI}, \mbox{CI}, \mbox{UIy}, \mbox{UIz}$ are convex or concave over the probability simplex. In this paper, we provide fo…
BROJA-2PID: A robust estimator for bivariate partial information decomposition
Abdullah Makkeh, Dirk Oliver Theis, Raul Vicente
Makkeh, Theis, and Vicente found in [8] that Cone Programming model is the most robust to compute the Bertschinger et al. partial information decompostion (BROJA PID) measure [1].…