23 citations · 99 across the 15 of their papers we have counts for
5 papers · 1 filter
Synergy, Redundancy and Common Information
Pradeep Kr. Banerjee, Virgil Griffith
We consider the problem of decomposing the total mutual information conveyed by a pair of predictor random variables about a target random variable into redundant, unique and syner…
Noise Sensitivity of Teager-Kaiser Energy Operators and Their Ratios
Pradeep Kr. Banerjee, Nirmal B. Chakrabarti
The Teager-Kaiser energy operator (TKO) belongs to a class of autocorrelators and their linear combination that can track the instantaneous energy of a nonstationary sinusoidal sig…
Some new insights into information decomposition in complex systems based on common information
Pradeep Kr. Banerjee
We take a closer look at the structure of bivariate dependency induced by a pair of predictor random variables trying to synergistically, redundantly or uniquely encod…
A Secret Common Information Duality for Tripartite Noisy Correlations
Pradeep Kr. Banerjee
We explore the duality between the simulation and extraction of secret correlations in light of a similar well-known operational duality between the two notions of common informati…
Multipartite Monotones for Secure Sampling by Public Discussion From Noisy Correlations
Pradeep Kr. Banerjee
We address the problem of quantifying the cryptographic content of probability distributions, in relation to an application to secure multi-party sampling against a passive t-adver…