activity
20142026
most citedAn Overview on Resource Allocation Techniques for Multi-User MIMO Systems

231 citations · 350 across the 32 of their papers we have counts for

collaborators

18 papers

cs.IT2023

On the Computation of the Gaussian Rate-Distortion-Perception Function

Giuseppe Serra, Photios A. Stavrou, Marios Kountouris

In this paper, we study the computation of the rate-distortion-perception function (RDPF) for a multivariate Gaussian source under mean squared error (MSE) distortion and, respecti…

cs.IT2023

Indirect Rate Distortion Functions with -Separable Distortion Criterion

Photios A. Stavrou, Yanina Shkel, Marios Kountouris

We consider a remote source coding problem subject to a {distortion function}. Contrary to the use of the classical separable distortion criterion, herein we consider the more gene…

cs.IT2023

Computation of Rate-Distortion-Perception Function under f-Divergence Perception Constraints

Giuseppe Serra, Photios A. Stavrou, Marios Kountouris

In this paper, we study the computation of the rate-distortion-perception function (RDPF) for discrete memoryless sources subject to a single-letter average distortion constraint a…

cs.IT20232 cited

Real-time Remote Reconstruction of a Markov Source and Actuation over Wireless

Mehrdad Salimnejad, Marios Kountouris, Nikolaos Pappas

In this work, we study the problem of real-time tracking and reconstruction of an information source with the purpose of actuation. A device monitors an -state Markov process an…

cs.NI20232 cited

Goal-oriented Policies for Cost of Actuation Error Minimization in Wireless Autonomous Systems

Emmanouil Fountoulakis, Nikolaos Pappas, Marios Kountouris

We consider the minimization of the cost of actuation error under resource constraints for real-time tracking in wireless autonomous systems. A transmitter monitors the state of a…

stat.ML20232 cited

When is Importance Weighting Correction Needed for Covariate Shift Adaptation?

Davit Gogolashvili, Matteo Zecchin, Motonobu Kanagawa +2

This paper investigates when the importance weighting (IW) correction is needed to address covariate shift, a common situation in supervised learning where the input distributions…