6 citations · 6 across the 11 of their papers we have counts for
6 papers · 1 filter
Directed Information: Estimation, Optimization and Applications in Communications and Causality
Dor Tsur, Oron Sabag, Navin Kashyap +2
Directed information (DI) is an information measure that attempts to capture directionality in the flow of information from one random process to another. It is closely related to…
InfoMat: A Tool for the Analysis and Visualization Sequential Information Transfer
Dor Tsur, Haim Permuter
Despite the popularity of information measures in analysis of probabilistic systems, proper tools for their visualization are not common. This work develops a simple matrix represe…
TREET: TRansfer Entropy Estimation via Transformers
Omer Luxembourg, Dor Tsur, Haim Permuter
Transfer entropy (TE) is an information theoretic measure that reveals the directional flow of information between processes, providing valuable insights for a wide range of real-w…
Data-Driven Optimization of Directed Information over Discrete Alphabets
Dor Tsur, Ziv Aharoni, Ziv Goldfeld +1
Directed information (DI) is a fundamental measure for the study and analysis of sequential stochastic models. In particular, when optimized over input distributions it characteriz…
Neural Estimation and Optimization of Directed Information over Continuous Spaces
Dor Tsur, Ziv Aharoni, Ziv Goldfeld +1
This work develops a new method for estimating and optimizing the directed information rate between two jointly stationary and ergodic stochastic processes. Building upon recent ad…
Capacity of Continuous Channels with Memory via Directed Information Neural Estimator
Ziv Aharoni, Dor Tsur, Ziv Goldfeld +1
Calculating the capacity (with or without feedback) of channels with memory and continuous alphabets is a challenging task. It requires optimizing the directed information (DI) rat…