| 2025 | AAAI | Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs. | Sergio Rozada, Dongsheng Ding, Antonio G. Marques, Alejandro Ribeiro |
| 2025 | ACSSC | Directed Acyclic Hypergraphs: Topology Identification from Nodal Data. | Geert Leus, Yongsheng Han, Elvin Isufi, Antonio G. Marques |
| 2025 | CBMS | Advanced Graph-Based Approaches for Predicting Antimicrobial Resistance in Intensive Care Units. | Paula Martn-Palomeque, scar Escudero-Arnanz, Cristina Soguero-Ruz, Antonio G. Marques |
| 2025 | ICASSP | Online Network Inference from Graph-Stationary Signals with Hidden Nodes. | Andrei Buciulea, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques |
| 2025 | ICASSP | Low-Rank Tensors for Multi-Dimensional Markov Models. | Madeline Navarro, Sergio Rozada, Antonio G. Marques, Santiago Segarra |
| 2025 | ICASSP | Redesigning graph filter-based GNNs to relax the homophily assumption. | Samuel Rey, Madeline Navarro, Victor M. Tenorio, Santiago Segarra, Antonio G. Marques |
| 2025 | ICASSP | Tracking Network Dynamics using Probabilistic State-Space Models. | Victor M. Tenorio, Elvin Isufi, Geert Leus, Antonio G. Marques |
| 2024 | ACSSC | A Convex Design for Transportation Networks Based on Sparsity and the Legendre Transform. | Fernando Real-Rojas, Victor M. Tenorio, Luis Cadarso, Antonio G. Marques |
| 2024 | ACSSC | A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning. | Sergio Rozada, Santiago Paternain, Juan Andrs Bazerque, Antonio G. Marques |
| 2024 | ACSSC | Structure-Guided Input Graph for GNNs Facing Heterophily. | Victor M. Tenorio, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques |
| 2024 | AISTATS | Estimation of partially known Gaussian graphical models with score-based structural priors. | Martin Sevilla, Antonio G. Marques, Santiago Segarra |
| 2024 | CBMS | Low-Rank Tensor Completion for Heart Failure Exacerbation Detection in Multivariate Time Series with Missing Data. | scar Escudero-Arnanz, Rosa Sicilia, Cristina Soguero-Ruz, Inmaculada Mora-Jimnez, Diana Lelli, Claudio Pedone, Antonio G. Marques |
| 2024 | ICASSP | Learning Graphs and Simplicial Complexes from Data. | Andrei Buciulea, Elvin Isufi, Geert Leus, Antonio G. Marques |
| 2024 | ICASSP | Tensor Low-Rank Approximation of Finite-Horizon Value Functions. | Sergio Rozada, Antonio G. Marques |
| 2024 | ICASSP | Recovering Missing Node Features with Local Structure-Based Embeddings. | Victor M. Tenorio, Madeline Navarro, Santiago Segarra, Antonio G. Marques |
| 2024 | ICASSP | Blind Deconvolution of Sparse Graph Signals in the Presence of Perturbations. | Victor M. Tenorio, Samuel Rey, Antonio G. Marques |
| 2023 | ACSSC | Robust Graph Neural Network Based on Graph Denoising. | Victor M. Tenorio, Samuel Rey, Antonio G. Marques |
| 2023 | ICASSP | Graph Learning from Gaussian and Stationary Graph Signals. | Andrei Buciulea, Antonio G. Marques |
| 2023 | ICASSP | Matrix Low-Rank Approximation for Policy Gradient Methods. | Sergio Rozada, Antonio G. Marques |
| 2022 | ACSSC | Joint graph learning from Gaussian observations in the presence of hidden nodes. | Samuel Rey, Madeline Navarro, Andrei Buciulea, Santiago Segarra, Antonio G. Marques |
| 2022 | ICASSP | Joint Inference of Multiple Graphs with Hidden Variables from Stationary Graph Signals. | Samuel Rey, Andrei Buciulea, Madeline Navarro, Santiago Segarra, Antonio G. Marques |
| 2022 | ICASSP | A Multi-Resolution Low-Rank Tensor Decomposition. | Sergio Rozada, Antonio G. Marques |
| 2021 | ACSSC | A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters. | Victor M. Tenorio, Samuel Rey, Fernando Gama, Santiago Segarra, Antonio G. Marques |
| 2021 | ICASSP | Robust Graph-Filter Identification with Graph Denoising Regularization. | Samuel Rey, Antonio G. Marques |
| 2020 | ICASSP | Generative Adversarial Networks for Graph Data Imputation from Signed Observations. | Amarlingam Madapu, Santiago Segarra, Sundeep Prabhakar Chepuri, Antonio G. Marques |
| 2019 | ACSSC | Network Reconstruction from Graph-stationary Signals with Hidden Variables. | Andrei Buciulea, Samuel Rey, Cristbal Cabrera, Antonio G. Marques |
| 2019 | ACSSC | Convolutional Graph Neural Networks. | Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro |
| 2019 | ACSSC | Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals. | Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques |
| 2019 | ICASSP | Aggregation Graph Neural Networks. | Fernando Gama, Antonio G. Marques, Alejandro Ribeiro, Geert Leus |
| 2019 | ICASSP | A Recurrent Graph Neural Network for Multi-relational Data. | Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis |
| 2019 | ICASSP | Median Activation Functions for Graph Neural Networks. | Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro |
| 2019 | ICASSP | Distributed Network Caching via Dynamic Programming. | Alireza Sadeghi, Antonio G. Marques, Georgios B. Giannakis |
| 2019 | ICASSP | Estimation of Network Processes via Blind Graph Multi-filter Identification. | Yu Zhu, Fernando Jose Iglesias Garcia, Antonio G. Marques, Santiago Segarra |
| 2018 | ICASSP | Distributed Analytical Graph Identification. | Sundeep Prabhakar Chepuri, Mario Coutino, Antonio G. Marques, Geert Leus |
| 2018 | ICASSP | Matrix Completion as Graph Bandlimited Reconstruction. | Weiyu Huang, Antonio G. Marques, Alejandro Ribeiro |
| 2018 | ICASSP | Demixing and Blind Deconvolution of Graph-Diffused Sparse Signals. | Fernando Jose Iglesias Garcia, Santiago Segarra, Samuel Rey-Escudero, Antonio G. Marques, David Ramrez |
| 2018 | ICASSP | Identifying Undirected Network Structure via Semidefinite Relaxation. | Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos |
| 2017 | ACSSC | Joint inference of networks from stationary graph signals. | Santiago Segarra, Yuhao Wang, Caroline Uhler, Antonio G. Marques |
| 2017 | ICASSP | Graph-signal reconstruction and blind deconvolution for diffused sparse inputs. | David Ramrez, Antonio G. Marques, Santiago Segarra |
| 2017 | ICASSP | Stationary graph processes: Parametric power spectral estimation. | Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro |
| 2017 | ICASSP | Robust network topology inference. | Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro |
| 2017 | ICASSP | Network topology inference from non-stationary graph signals. | Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos |
| 2016 | ACSSC | Rethinking sketching as sampling: Linear transforms of graph signals. | Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro |
| 2016 | ACSSC | Network topology identification from imperfect spectral templates. | Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro |
| 2016 | ICASSP | Space-shift sampling of graph signals. | Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro |
| 2016 | ICASSP | Blind identification of graph filters with multiple sparse inputs. | Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro |
| 2016 | ICASSP | Linear network operators using node-variant graph filters. | Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro |
| 2015 | ACSSC | Sampling of graph signals: Successive local aggregations at a single node. | Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro |
| 2014 | WCNC | Dynamic transmit-power control for WiFi access points based on wireless link occupancy. | Carlos Gandarillas, Carlos Martin-Engenos, Hector Lopez Pombo, Antonio G. Marques |