Samuel Rey - RankMe

47 papers A* 1Misc 9Journal 27Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adapting to Heterophilic Graph Data with Structure-Guided Neighbor Discovery. CoRR Victor M. Tenorio, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques
2025	J	`jnl`	BUILD with Precision: Bottom-Up Inference of Linear DAGs. CoRR Hamed Ajorlou, Samuel Rey, Gonzalo Mateos, Geert Leus, Antonio G. Marques
2025	J	`jnl`	Directed Acyclic Graph Convolutional Networks. CoRR Samuel Rey, Hamed Ajorlou, Gonzalo Mateos
2025	—	`conf`	Enhancing Graphical Lasso: A Robust Scheme for Non-Stationary Mean Data. EUSIPCO Samuel Rey, Ernesto Curbelo, Luca Martino, Fernando Llorente, Antonio G. Marqués
2025	J	`jnl`	Enhancing Graphical Lasso: A Robust Scheme for Non-Stationary Mean Data. CoRR Samuel Rey, Ernesto Curbelo, Luca Martino, Fernando Llorente, Antonio G. Marques
2025	J	`jnl`	Estimating Fair Graphs from Graph-Stationary Data. CoRR Madeline Navarro, Andrei Buciulea, Samuel Rey, Antonio G. Marques, Santiago Segarra
2025	J	`jnl`	Feature Selection via Graph Topology Inference for Soundscape Emotion Recognition. CoRR Samuel Rey, Luca Martino, Roberto San Millan, Eduardo Morgado
2025	—	`conf`	Non-negative DAG Learning from Time-Series Data. IEEECONF Samuel Rey, Gonzalo Mateos
2025	J	`jnl`	Non-negative DAG Learning from Time-Series Data. CoRR Samuel Rey, Gonzalo Mateos
2025	Misc	`conf`	Non-negative Weighted DAG Structure Learning. ICASSP Samuel Rey, Seyed Saman Saboksayr, Gonzalo Mateos
2025	Misc	`conf`	Online Network Inference from Graph-Stationary Signals with Hidden Nodes. ICASSP Andrei Buciulea, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques
2025	J	`jnl`	Precision Neural Networks: Joint Graph And Relational Learning. CoRR Andrea Cavallo, Samuel Rey, Antonio G. Marques, Elvin Isufi
2025	Misc	`conf`	Redesigning graph filter-based GNNs to relax the homophily assumption. ICASSP Samuel Rey, Madeline Navarro, Victor M. Tenorio, Santiago Segarra, Antonio G. Marques
2025	—	`conf`	Unrolling Dynamic Programming via Graph Filters. CAMSAP Sergio Rozada, Samuel Rey, Gonzalo Mateos, Antonio G. Marques
2025	J	`jnl`	Unrolling Dynamic Programming via Graph Filters. CoRR Sergio Rozada, Samuel Rey, Gonzalo Mateos, Antonio G. Marques
2024	Misc	`conf`	Blind Deconvolution of Sparse Graph Signals in the Presence of Perturbations. ICASSP Victor M. Tenorio, Samuel Rey, Antonio G. Marques
2024	—	`conf`	Convolutional Learning on Directed Acyclic Graphs. IEEECONF Samuel Rey, Hamed Ajorlou, Gonzalo Mateos
2024	J	`jnl`	Convolutional Learning on Directed Acyclic Graphs. CoRR Samuel Rey, Hamed Ajorlou, Gonzalo Mateos
2024	A*	`conf`	Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior. NeurIPS Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra
2024	J	`jnl`	Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior. CoRR Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra
2024	J	`jnl`	Joint Network Topology Inference in the Presence of Hidden Nodes. IEEE Trans. Signal Process. Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra
2024	—	`conf`	Mitigating Subpopulation Bias for Fair Network Topology Inference. EUSIPCO Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra
2024	J	`jnl`	Non-negative Weighted DAG Structure Learning. CoRR Samuel Rey, Seyed Saman Saboksayr, Gonzalo Mateos
2024	J	`jnl`	Online Learning Of Expanding Graphs. CoRR Samuel Rey, Bishwadeep Das, Elvin Isufi
2024	J	`jnl`	Online Network Inference from Graph-Stationary Signals with Hidden Nodes. CoRR Andrei Buciulea, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques
2024	J	`jnl`	Redesigning graph filter-based GNNs to relax the homophily assumption. CoRR Samuel Rey, Madeline Navarro, Victor M. Tenorio, Santiago Segarra, Antonio G. Marques
2024	—	`conf`	Structure-Guided Input Graph for GNNs Facing Heterophily. IEEECONF Victor M. Tenorio, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques
2024	J	`jnl`	Structure-Guided Input Graph for GNNs facing Heterophily. CoRR Victor M. Tenorio, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques
2023	J	`jnl`	Enhanced Graph-Learning Schemes Driven by Similar Distributions of Motifs. IEEE Trans. Signal Process. Samuel Rey, T. Mitchell Roddenberry, Santiago Segarra, Antonio G. Marques
2023	J	`jnl`	Robust Graph Filter Identification and Graph Denoising From Signal Observations. IEEE Trans. Signal Process. Samuel Rey, Victor M. Tenorio, Antonio G. Marqués
2023	Misc	`conf`	Robust Graph Neural Network Based on Graph Denoising. ACSSC Victor M. Tenorio, Samuel Rey, Antonio G. Marques
2023	J	`jnl`	Robust Graph Neural Network based on Graph Denoising. CoRR Victor M. Tenorio, Samuel Rey, Antonio G. Marques
2022	Misc	`conf`	Joint Inference of Multiple Graphs with Hidden Variables from Stationary Graph Signals. ICASSP Samuel Rey, Andrei Buciulea, Madeline Navarro, Santiago Segarra, Antonio G. Marques
2022	—	`conf`	Joint graph learning from Gaussian observations in the presence of hidden nodes. IEEECONF Samuel Rey, Madeline Navarro, Andrei Buciulea, Santiago Segarra, Antonio G. Marques
2022	J	`jnl`	Joint graph learning from Gaussian observations in the presence of hidden nodes. CoRR Samuel Rey, Madeline Navarro, Andrei Buciulea, Santiago Segarra, Antonio G. Marques
2022	J	`jnl`	Learning Graphs From Smooth and Graph-Stationary Signals With Hidden Variables. IEEE Trans. Signal Inf. Process. over Networks Andrei Buciulea, Samuel Rey, Antonio G. Marques
2022	J	`jnl`	Untrained Graph Neural Networks for Denoising. IEEE Trans. Signal Process. Samuel Rey, Santiago Segarra, Reinhard Heckel, Antonio G. Marques
2021	—	`conf`	A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters. ACSCC Victor M. Tenorio, Samuel Rey, Fernando Gama, Santiago Segarra, Antonio G. Marques
2021	J	`jnl`	A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters. CoRR Victor M. Tenorio, Samuel Rey, Fernando Gama, Santiago Segarra, Antonio G. Marques
2021	J	`jnl`	Joint inference of multiple graphs with hidden variables from stationary graph signals. CoRR Samuel Rey, Andrei Buciulea, Madeline Navarro, Santiago Segarra, Antonio G. Marques
2021	Misc	`conf`	Robust Graph-Filter Identification with Graph Denoising Regularization. ICASSP Samuel Rey, Antonio G. Marques
2021	J	`jnl`	Untrained Graph Neural Networks for Denoising. CoRR Samuel Rey, Santiago Segarra, Reinhard Heckel, Antonio G. Marques
2020	—	`conf`	Overparametrized Deep Encoder-Decoder Schemes for Inputs and Outputs Defined over Graphs. EUSIPCO Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques
2019	—	`conf`	An Underparametrized Deep Decoder Architecture for Graph Signals. CAMSAP Samuel Rey, Antonio G. Marques, Santiago Segarra
2019	J	`jnl`	An Underparametrized Deep Decoder Architecture for Graph Signals. CoRR Samuel Rey, Antonio G. Marqués, Santiago Segarra
2019	Misc	`conf`	Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals. ACSSC Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques
2019	Misc	`conf`	Network Reconstruction from Graph-stationary Signals with Hidden Variables. ACSSC Andrei Buciulea, Samuel Rey, Cristóbal Cabrera, Antonio G. Marques