Demixing and Blind Deconvolution of Graph-Diffused Sparse Signals. - Fernando Jose Iglesias Garcia; Santiago Segarra; Samuel Rey-Escudero; Antonio G. Marques; David Ramírez 001 (ICASSP, 2018)

Network Topology Inference From Input-Output Diffusion Pairs. - Santiago Segarra; Antonio G. Marques; Mohak Goyal; Samuel Rey-Escudero (SSP, 2018)

Network Reconstruction from Graph-stationary Signals with Hidden Variables. - Andrei Buciulea; Samuel Rey; Cristóbal Cabrera; Antonio G. Marques (ACSSC, 2019)

Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals. - Samuel Rey; Victor Tenorio; Sergio Rozada; Luca Martino; Antonio G. Marques (ACSSC, 2019)

An Underparametrized Deep Decoder Architecture for Graph Signals. - Samuel Rey; Antonio G. Marques; Santiago Segarra (CAMSAP, 2019)

Sampling and Reconstruction of Diffused Sparse Graph Signals From Successive Local Aggregations. - Samuel Rey-Escudero; Fernando Jose Iglesias Garcia; Cristóbal Cabrera; Antonio G. Marques (IEEE Signal Process. Lett., 2019)

Overparametrized Deep Encoder-Decoder Schemes for Inputs and Outputs Defined over Graphs. - Samuel Rey; Victor Tenorio; Sergio Rozada; Luca Martino; Antonio G. Marques (EUSIPCO, 2020)

A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters. - Victor M. Tenorio; Samuel Rey; Fernando Gama; Santiago Segarra; Antonio G. Marques (ACSCC, 2021)

Robust Graph-Filter Identification with Graph Denoising Regularization. - Samuel Rey; Antonio G. Marques (ICASSP, 2021)

Joint graph learning from Gaussian observations in the presence of hidden nodes. - Samuel Rey; Madeline Navarro; Andrei Buciulea; Santiago Segarra; Antonio G. Marques (IEEECONF, 2022)

Joint Inference of Multiple Graphs with Hidden Variables from Stationary Graph Signals. - Samuel Rey; Andrei Buciulea; Madeline Navarro; Santiago Segarra; Antonio G. Marques (ICASSP, 2022)

Learning Graphs From Smooth and Graph-Stationary Signals With Hidden Variables. - Andrei Buciulea; Samuel Rey; Antonio G. Marques (IEEE Trans. Signal Inf. Process. over Networks, 2022)

Untrained Graph Neural Networks for Denoising. - Samuel Rey; Santiago Segarra; Reinhard Heckel; Antonio G. Marques (IEEE Trans. Signal Process., 2022)

Robust Graph Neural Network Based on Graph Denoising. - Victor M. Tenorio; Samuel Rey; Antonio G. Marques (ACSSC, 2023)

Enhanced Graph-Learning Schemes Driven by Similar Distributions of Motifs. - Samuel Rey; T. Mitchell Roddenberry; Santiago Segarra; Antonio G. Marques (IEEE Trans. Signal Process., 2023)

Robust Graph Filter Identification and Graph Denoising From Signal Observations. - Samuel Rey; Victor M. Tenorio; Antonio G. Marqués (IEEE Trans. Signal Process., 2023)

Convolutional Learning on Directed Acyclic Graphs. - Samuel Rey; Hamed Ajorlou; Gonzalo Mateos (IEEECONF, 2024)

Structure-Guided Input Graph for GNNs Facing Heterophily. - Victor M. Tenorio; Madeline Navarro; Samuel Rey; Santiago Segarra; Antonio G. Marques (IEEECONF, 2024)

Mitigating Subpopulation Bias for Fair Network Topology Inference. - Madeline Navarro; Samuel Rey; Andrei Buciulea; Antonio G. Marques; Santiago Segarra (EUSIPCO, 2024)

Blind Deconvolution of Sparse Graph Signals in the Presence of Perturbations. - Victor M. Tenorio; Samuel Rey; Antonio G. Marques (ICASSP, 2024)

Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior. - Madeline Navarro; Samuel Rey; Andrei Buciulea; Antonio G. Marques; Santiago Segarra (NeurIPS, 2024)

Online Learning Of Expanding Graphs. - Samuel Rey; Bishwadeep Das; Elvin Isufi (CoRR, 2024)

Joint Network Topology Inference in the Presence of Hidden Nodes. - Madeline Navarro; Samuel Rey; Andrei Buciulea; Antonio G. Marques; Santiago Segarra (IEEE Trans. Signal Process., 2024)

Online Network Inference from Graph-Stationary Signals with Hidden Nodes. - Andrei Buciulea; Madeline Navarro; Samuel Rey; Santiago Segarra; Antonio G. Marques (ICASSP, 2025)

Redesigning graph filter-based GNNs to relax the homophily assumption. - Samuel Rey; Madeline Navarro; Victor M. Tenorio; Santiago Segarra; Antonio G. Marques (ICASSP, 2025)

Non-negative Weighted DAG Structure Learning. - Samuel Rey; Seyed Saman Saboksayr; Gonzalo Mateos (ICASSP, 2025)

Enhancing Graphical Lasso: A Robust Scheme for Non-Stationary Mean Data. - Samuel Rey; Ernesto Curbelo; Luca Martino; Fernando Llorente 001; Antonio G. Marques (CoRR, 2025)

Adapting to Heterophilic Graph Data with Structure-Guided Neighbor Discovery. - Victor M. Tenorio; Madeline Navarro; Samuel Rey; Santiago Segarra; Antonio G. Marques (CoRR, 2025)

Directed Acyclic Graph Convolutional Networks. - Samuel Rey; Hamed Ajorlou; Gonzalo Mateos (CoRR, 2025)

Unrolling Dynamic Programming via Graph Filters. - Sergio Rozada; Samuel Rey; Gonzalo Mateos; Antonio G. Marques (CoRR, 2025)