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Entropic vector
Secret Sharing and Algorithmic Information Theory Tarik Kaced
Do Essentially Conditional Information Inequalities Have a Physical Meaning?
On the Theory of Polynomial Information Inequalities
Entropy Region and Network Information Theory
On a Construction of Entropic Vectors Using Lattice-Generated Distributions
Entropic No-Disturbance As a Physical Principle
Quasi‑Uniform Codes and Information Inequalities Using Group Theory
On the Non-Robustness of Essentially Conditional Information Inequalities
On Designing Probabilistic Supports to Map the Entropy Region
Extremal Entropy: Information Geometry, Numerical Entropy Mapping, and Machine Learning Application of Associated Conditional Independences
Only One Nonlinear Non-Shannon Inequality Is Necessary for Four Variables
Decision Problems in Information Theory Mahmoud Abo Khamis Relationalai, Berkeley, CA, USA Phokion G
On Abelian and Homomorphic Secret Sharing Schemes
Common Information, Matroid Representation, and Secret Sharing
On the Entropy Region of Gaussian Random Variables*
On the Non-Robustness of Essentially Conditional Information Inequalities Tarik Kaced, Andrei Romashchenko
Thermodynamics ≠ Information Theory: Science’S Greatest Sokal Affair
Mapping the Region of Entropic Vectors with Support Enumeration & Information Geometry
Top View
Linearly Representable Entropy Vectors and Their Relation to Network Coding Solutions