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

Low-rank State-action Value-function Approximation. - Sergio Rozada; Victor Tenorio; Antonio G. Marques (EUSIPCO, 2021)

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

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

A Convex Design for Transportation Networks Based on Sparsity and the Legendre Transform. - Fernando Real-Rojas; Victor M. Tenorio; Luis Cadarso; Antonio G. Marques (IEEECONF, 2024)

Transportation Network Design Under Passenger Choice. - Pushpendra Singh 010; Fernando Real-Rojas; Vikrant Vaze; Victor M. Tenorio (IEEECONF, 2024)

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

Recovering Missing Node Features with Local Structure-Based Embeddings. - Victor M. Tenorio; Madeline Navarro; Santiago Segarra; Antonio G. Marques (ICASSP, 2024)

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

A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints. - Liuyuan Jiang; Quan Xiao; Victor Tenorio; Fernando Real-Rojas; Antonio G. Marques; Tianyi Chen (NeurIPS, 2024)

Exploiting the Structure of Two Graphs with Graph Neural Networks. - Victor M. Tenorio; Antonio G. Marques (CoRR, 2024)

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

Tracking Network Dynamics using Probabilistic State-Space Models. - Victor M. Tenorio; Elvin Isufi; Geert Leus; Antonio G. Marques (ICASSP, 2025)

Graph Guided Diffusion: Unified Guidance for Conditional Graph Generation. - Victor M. Tenorio; Nicolas Zilberstein; Santiago Segarra; Antonio G. Marques (CoRR, 2025)

A Few Moments Please: Scalable Graphon Learning via Moment Matching. - Reza Ramezanpour; Victor M. Tenorio; Antonio G. Marques; Ashutosh Sabharwal; Santiago Segarra (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)