Simulation-based computation of information rates for channels with memory
DM Arnold, HA Loeliger, PO Vontobel… - … on information theory, 2006 - ieeexplore.ieee.org
The information rate of finite-state source/channel models can be accurately estimated by
sampling both a long channel input sequence and the corresponding channel output …
sampling both a long channel input sequence and the corresponding channel output …
Finite-state Markov modeling of fading channels-a survey of principles and applications
This article's goal is to provide an in-depth understanding of the principles of FSMC
modeling of fading channels with its applications in wireless communication systems. While …
modeling of fading channels with its applications in wireless communication systems. While …
Aberration corrections for free-space optical communications in atmosphere turbulence using orbital angular momentum states
The effect of atmosphere turbulence on light's spatial structure compromises the information
capacity of photons carrying the Orbital Angular Momentum (OAM) in free-space optical …
capacity of photons carrying the Orbital Angular Momentum (OAM) in free-space optical …
The role of fidelity in goal-oriented semantic communication: A rate distortion approach
PA Stavrou, M Kountouris - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
We study a variant of a robust description source coding framework, which is a relevant
model for goal-oriented semantic information transmission, via its corresponding …
model for goal-oriented semantic information transmission, via its corresponding …
Statistical measurement of information leakage
Abstract Information theory provides a range of useful methods to analyse probability
distributions and these techniques have been successfully applied to measure information …
distributions and these techniques have been successfully applied to measure information …
Neural estimation and optimization of directed information over continuous spaces
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 …
between two jointly stationary and ergodic stochastic processes. Building upon recent …
The Bethe permanent of a nonnegative matrix
PO Vontobel - IEEE Transactions on Information Theory, 2012 - ieeexplore.ieee.org
It has recently been observed that the permanent of a nonnegative square matrix, ie, of a
square matrix containing only nonnegative real entries, can very well be approximated by …
square matrix containing only nonnegative real entries, can very well be approximated by …
Deciding what to model: Value-equivalent sampling for reinforcement learning
D Arumugam, B Van Roy - Advances in neural information …, 2022 - proceedings.neurips.cc
The quintessential model-based reinforcement-learning agent iteratively refines its
estimates or prior beliefs about the true underlying model of the environment. Recent …
estimates or prior beliefs about the true underlying model of the environment. Recent …
Models and information-theoretic bounds for nanopore sequencing
W Mao, SN Diggavi, S Kannan - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Nanopore sequencing is an emerging new technology for sequencing Deoxyribonucleic
acid (DNA), which can read long fragments of DNA (~ 50000 bases), in contrast to most …
acid (DNA), which can read long fragments of DNA (~ 50000 bases), in contrast to most …
Domain generalization without excess empirical risk
Given data from diverse sets of distinct distributions, domain generalization aims to learn
models that generalize to unseen distributions. A common approach is designing a data …
models that generalize to unseen distributions. A common approach is designing a data …