Samuel Rey

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Hidden Variables

Directed Acyclic Graph

Top Venues

IEEE Trans. Signal Process.

Publications

Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra
Joint Network Topology Inference in the Presence of Hidden Nodes. IEEE Trans. Signal Process. 72 (2024)
Samuel Rey, Hamed Ajorlou, Gonzalo Mateos
Convolutional Learning on Directed Acyclic Graphs. CoRR (2024)
Victor M. Tenorio, Samuel Rey, Antonio G. Marques
Blind Deconvolution of Sparse Graph Signals in the Presence of Perturbations. ICASSP (2024)
Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior. CoRR (2024)
Victor M. Tenorio, Samuel Rey, Antonio G. Marques
Robust Graph Neural Network Based on Graph Denoising. ACSSC (2023)
Samuel Rey, T. Mitchell Roddenberry, Santiago Segarra, Antonio G. Marques
Enhanced Graph-Learning Schemes Driven by Similar Distributions of Motifs. IEEE Trans. Signal Process. 71 (2023)
Victor M. Tenorio, Samuel Rey, Antonio G. Marques
Robust Graph Neural Network based on Graph Denoising. CoRR (2023)
Samuel Rey, Victor M. Tenorio, Antonio G. Marqués
Robust Graph Filter Identification and Graph Denoising From Signal Observations. IEEE Trans. Signal Process. 71 (2023)
Samuel Rey, Madeline Navarro, Andrei Buciulea, Santiago Segarra, Antonio G. Marques
Joint graph learning from Gaussian observations in the presence of hidden nodes. CoRR (2022)
Samuel Rey, Madeline Navarro, Andrei Buciulea, Santiago Segarra, Antonio G. Marques
Joint graph learning from Gaussian observations in the presence of hidden nodes. IEEECONF (2022)
Andrei Buciulea, Samuel Rey, Antonio G. Marques
Learning Graphs From Smooth and Graph-Stationary Signals With Hidden Variables. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Samuel Rey, Santiago Segarra, Reinhard Heckel, Antonio G. Marques
Untrained Graph Neural Networks for Denoising. IEEE Trans. Signal Process. 70 (2022)
Samuel Rey, Andrei Buciulea, Madeline Navarro, Santiago Segarra, Antonio G. Marques
Joint Inference of Multiple Graphs with Hidden Variables from Stationary Graph Signals. ICASSP (2022)
Samuel Rey, Antonio G. Marques
Robust Graph-Filter Identification with Graph Denoising Regularization. ICASSP (2021)
Victor M. Tenorio, Samuel Rey, Fernando Gama, Santiago Segarra, Antonio G. Marques
A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters. CoRR (2021)
Samuel Rey, Andrei Buciulea, Madeline Navarro, Santiago Segarra, Antonio G. Marques
Joint inference of multiple graphs with hidden variables from stationary graph signals. CoRR (2021)
Samuel Rey, Santiago Segarra, Reinhard Heckel, Antonio G. Marques
Untrained Graph Neural Networks for Denoising. CoRR (2021)
Victor M. Tenorio, Samuel Rey, Fernando Gama, Santiago Segarra, Antonio G. Marques
A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters. ACSCC (2021)
Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques
Overparametrized Deep Encoder-Decoder Schemes for Inputs and Outputs Defined over Graphs. EUSIPCO (2020)
Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques
Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals. ACSSC (2019)
Samuel Rey, Antonio G. Marqués, Santiago Segarra
An Underparametrized Deep Decoder Architecture for Graph Signals. CoRR (2019)
Andrei Buciulea, Samuel Rey, Cristóbal Cabrera, Antonio G. Marques
Network Reconstruction from Graph-stationary Signals with Hidden Variables. ACSSC (2019)
Samuel Rey, Antonio G. Marques, Santiago Segarra
An Underparametrized Deep Decoder Architecture for Graph Signals. CAMSAP (2019)