279 citations · 405 across the 19 of their papers we have counts for
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cs.IT2019
Deriving pairwise transfer entropy from network structure and motifs
Leonardo Novelli, Fatihcan M. Atay, Jürgen Jost +1
Transfer entropy is an established method for quantifying directed statistical dependencies in neuroimaging and complex systems datasets. The pairwise (or bivariate) transfer entro…
cs.IT2019
Unique Information and Secret Key Decompositions
Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich +1
The unique information () is an information measure that quantifies a deviation from the Blackwell order. We have recently shown that this quantity is an upper bound on the one…