activity
20132025
most citedBeyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications

26 citations · 45 across the 10 of their papers we have counts for

collaborators

15 papers

cs.LG2025

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation

Charupriya Sharma, Iñaki Estella Aguerri, Daniel Guimarans

Hierarchical forecasting with reconciliation requires forecasting values of a hierarchy (e.g.~customer demand in a state and district), such that forecast values are linked (e.g.~…

cs.IT2022★ 26 cited

Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications

Deniz Gunduz, Zhijin Qin, Inaki Estella Aguerri +5

Communication systems to date primarily aim at reliably communicating bit sequences. Such an approach provides efficient engineering designs that are agnostic to the meanings of th…

cs.IT2019

Optimal Rate-Exponent Region for a Class of Hypothesis Testing Against Conditional Independence Problems

Abdellatif Zaidi, Inaki Estella Aguerri

We study a class of distributed hypothesis testing against conditional independence problems. Under the criterion that stipulates minimization of the Type II error rate subject to…

cs.IT2019

Vector Gaussian CEO Problem Under Logarithmic Loss

Yigit Ugur, Inaki Estella Aguerri, Abdellatif Zaidi

In this paper, we study the vector Gaussian Chief Executive Officer (CEO) problem under logarithmic loss distortion measure. Specifically, agents observe independently c…

cs.IT2018

Vector Gaussian CEO Problem Under Logarithmic Loss and Applications

Yigit Ugur, Inaki Estella Aguerri, Abdellatif Zaidi

We study the vector Gaussian Chief Executive Officer (CEO) problem under logarithmic loss distortion measure. Specifically, agents observe independently corrupted Gaussi…

stat.ML2018

Distributed Variational Representation Learning

Inaki Estella Aguerri, Abdellatif Zaidi

The problem of distributed representation learning is one in which multiple sources of information are processed separately so as to learn as much information as p…

cs.IT2017★ 19 cited

Distributed Information Bottleneck Method for Discrete and Gaussian Sources

Inaki Estella Aguerri, Abdellatif Zaidi

We study the problem of distributed information bottleneck, in which multiple encoders separately compress their observations in a manner such that, collectively, the compressed si…

cs.IT2017

On the Capacity of Cloud Radio Access Networks with Oblivious Relaying

Inaki Estella Aguerri, Abdellatif Zaidi, Giuseppe Caire +1

We study the transmission over a network in which users send information to a remote destination through relay nodes that are connected to the destination via finite-capacity error…

cs.IT2017

A Generalization of Blahut-Arimoto Algorithm to Compute Rate-Distortion Regions of Multiterminal Source Coding Under Logarithmic Loss

Yigit Ugur, Inaki Estella Aguerri, Abdellatif Zaidi

In this paper, we present iterative algorithms that numerically compute the rate-distortion regions of two problems: the two-encoder multiterminal source coding problem and the Chi…

cs.IT2017

On the Capacity of Cloud Radio Access Networks with Oblivious Relaying

Inaki Estella Aguerri, Abdellatif Zaidi, Giuseppe Caire +1

We study the transmission over a network in which users send information to a remote destination through relay nodes that are connected to the destination via finite-capacity error…

cs.IT2016

In-network Compression for Multiterminal Cascade MIMO Systems

Inaki Estella Aguerri, Abdellatif Zaidi

We study the problem of receive beamforming in uplink cascade multiple-input multiple-output (MIMO) systems as an instance of that of cascade multiterminal source coding for lossy…

cs.IT2016

Lossy Compression for Compute-and-Forward in Limited Backhaul Uplink Multicell Processing

Iñaki Estella Aguerri, Abdellatif Zaidi

We study the transmission over a cloud radio access network in which multiple base stations (BS) are connected to a central processor (CP) via finite-capacity backhaul links. We pr…

cs.IT2014

Distortion Exponent in MIMO Fading Channels with Time-Varying Source Side Information

Iñaki Estella Aguerri, Deniz Gündüz

Transmission of a Gaussian source over a time-varying multiple-input multiple-output (MIMO) channel is studied under strict delay constraints. Availability of a correlated side inf…

cs.IT2014

Capacity of a Class of State-Dependent Orthogonal Relay Channels

Iñaki Estella Aguerri, Deniz Gündüz

The class of orthogonal relay channels in which the orthogonal channels connecting the source terminal to the relay and the destination, and the relay to the destination, depend on…

cs.IT2013

Joint Source-Channel Coding with Time-Varying Channel and Side-Information

Iñaki Estella Aguerri, Deniz Gündüz

Transmission of a Gaussian source over a time-varying Gaussian channel is studied in the presence of time-varying correlated side information at the receiver. A block fading model…