WebEstimating and optimizing the directed information is challenging because it has terms where may be large. In many cases, one is interested in optimizing the limiting average, … WebSep 29, 2024 · In this talk, we will develop a principled framework for neural estimation and optimization of information measures and specifically directed information, which is then leveraged to estimate the feedforward and feedback capacities of …
[PDF] A Perspective on Neural Capacity Estimation: Viability and ...
Webestimator to infer causality in ensemble neural spike train recordings. Based on parametric generalized linear model (GLM) assumption and stationary ergodic Markov assumption … Webdirected information. Recently, Permuter, Kim, and Weissman [8] showed that directed information plays an important role in portfolio theory, data compression, and … series de criminales en netflix
Capacity of Continuous Channels with Memory via Directed Information ...
WebBen Gurion University - Cited by 21 - Information Theory - Machine Learning ... Capacity of continuous channels with memory via directed information neural estimator. Z Aharoni, D Tsur, Z Goldfeld, HH Permuter. 2024 IEEE International Symposium on Information Theory (ISIT), 2014-2024, 2024. 18: WebNov 14, 2024 · This class of estimators is referred to as neural mutual information estimators. Although very promising, such techniques have yet to be rigorously bench … WebThe estimators carry over directly to estimating other information measures of stationary ergodic processes, such as entropy rate and mutual information rate, and provide alternatives to classical approaches in the existing literature. series de dc en netflix