activity
20092025
most citedConnecting the Dots: Identifying Network Structure via Graph Signal Processing

385 citations · 1.8k across the 36 of their papers we have counts for

collaborators

48 papers

eess.SY2025★ 20 cited

An MDP Model for Censoring in Harvesting Sensors: Optimal and Approximated Solutions

Jesus Fernandez-Bes, Jesus Cid-Sueiro, Antonio G. Marques

In this paper, we propose a novel censoring policy for energy-efficient transmissions in energy-harvesting sensors. The problem is formulated as an infinite-horizon Markov Decision…

math.GM2024

A Multi-resolution Low-rank Tensor Decomposition

Sergio Rozada, Antonio G. Marques

The (efficient and parsimonious) decomposition of higher-order tensors is a fundamental problem with numerous applications in a variety of fields. Several methods have been propose…

cs.LG2024

Matrix Low-Rank Approximation For Policy Gradient Methods

Sergio Rozada, Antonio G. Marques

Estimating a policy that maps states to actions is a central problem in reinforcement learning. Traditionally, policies are inferred from the so called value functions (VFs), but e…

eess.SP2023★ 13 cited

Joint Network Topology Inference in the Presence of Hidden Nodes

Madeline Navarro, Samuel Rey, Andrei Buciulea +2

We investigate the increasingly prominent task of jointly inferring multiple networks from nodal observations. While most joint inference methods assume that observations are avail…

eess.SP2023★ 172 cited

Graph Signal Processing: History, Development, Impact, and Outlook

Geert Leus, Antonio G. Marques, José M. F. Moura +2

Graph signal processing (GSP) generalizes signal processing (SP) tasks to signals living on non-Euclidean domains whose structure can be captured by a weighted graph. Graphs are ve…

eess.SP2023

Graph Learning from Gaussian and Stationary Graph Signals

Andrei Buciulea, Antonio G. Marques

Graphs have become pervasive tools to represent information and datasets with irregular support. However, in many cases, the underlying graph is either unavailable or naively obtai…