Directed information neural estimator
WebCapacity of Continuous Channels with Memory via Directed Information Neural Estimator. omerlux/DINE • • 9 Mar 2024. When no analytic solution is present or the channel model is unknown, there is no unified framework for calculating or even approximating capacity. Webmutual information neural estimator (MINE), smoothed mutual information lower-bound estimator (SMILE), and directed information neural estimator (DINE). and provide insights on the performance of other methods as well.To summarize our benchmarking results, MINE provides the most reliable performance. Index Terms
Directed information neural estimator
Did you know?
WebNov 6, 2024 · This paper focuses on neural-based estimators for the KL-divergence and provides a mathematically rigorous lower bound and additional challenges with respect to the un-conditional mutual information emerge due to the presence of a conditional density function. Several recent works in communication systems have proposed to leverage the … http://web.eng.ucsd.edu/~yhk/pdfs/isit2012a.pdf
WebMar 28, 2024 · The mutual information neural estimator (MINE) [24] is a NN-based estimator of the MI between two random variables. The technique relies on the DV … WebMay 20, 2024 · In particular, we study the performance of mutual information neural estimator (MINE), smoothed mutual information lower-bound estimator (SMILE), and …
WebCapacity of Continuous Channels with Memory via Directed Information Neural Estimator. Calculating the capacity (with or without feedback) of channels with mem... 0 Ziv Aharoni, et al. ∙. share. research. ∙ 3 years ago. WebJan 1, 2024 · Abstract. 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 advances ...
WebA. Directed Information Neural Estimation The estimation of mutual information (MI) from samples using neural networks (NNs) is a recently proposed approach [2], [3]. It is especially effective when the involved random variables (RVs) are continuous. The concept originated from [2], where MINE was proposed. The core idea is to represent
WebMar 22, 2024 · In this paper we study the performance of mutual information neural estimator (MINE), smoothed mutual information lower-bound estimator (SMILE), and directed information neural estimator (DINE). and provide insights on the performance of other methods as well. To summarize our benchmarking results, MINE provides the most … leaside medical centre kirkbyWebTherefore all directed information terms may be zero, and indeed the system is not inferable using directed-information graphs. In this regime, [7] proposed some algorithms which can infer the underlying graph using lagged embeddings. These algorithms are guaranteed to return the correct an-swer when the system has only two interacting variables leaside network pcnhttp://web.eng.ucsd.edu/~yhk/pdfs/isit2012a.pdf leaside newspaperWebSep 29, 2024 · Data-Driven Approach for Estimating Information Measures. Abstract In this talk, we will develop a principled framework for neural estimation and optimization of … how to do the splits beginnerWebdirected information. Recently, Permuter, Kim, and Weissman [8] showed that directed information plays an important role in portfolio theory, data compression, and … leaside neighbourhood torontoWebSep 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 … how to do the split screenWebThe 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. leaside physiotherapy