Victor Tenorio

According to our database, Victor Tenorio authored at least 18 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Adapting to Heterophilic Graph Data with Structure-Guided Neighbor Discovery.

Victor M. Tenorio, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques

CoRR, June, 2025

A Few Moments Please: Scalable Graphon Learning via Moment Matching.

Reza Ramezanpour, Victor M. Tenorio, Antonio G. Marques, Ashutosh Sabharwal, Santiago Segarra

CoRR, June, 2025

Graph Guided Diffusion: Unified Guidance for Conditional Graph Generation.

Victor M. Tenorio, Nicolas Zilberstein, Santiago Segarra, Antonio G. Marques

CoRR, May, 2025

Tracking Network Dynamics using Probabilistic State-Space Models.

Victor M. Tenorio, Elvin Isufi, Geert Leus, Antonio G. Marques

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Redesigning graph filter-based GNNs to relax the homophily assumption.

Samuel Rey, Madeline Navarro, Victor M. Tenorio, Santiago Segarra, Antonio G. Marques

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Exploiting the Structure of Two Graphs with Graph Neural Networks.

Victor M. Tenorio, Antonio G. Marques

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Blind Deconvolution of Sparse Graph Signals in the Presence of Perturbations.

Victor M. Tenorio, Samuel Rey, Antonio G. Marques

Proceedings of the IEEE International Conference on Acoustics, 2024

Recovering Missing Node Features with Local Structure-Based Embeddings.

Victor M. Tenorio, Madeline Navarro, Santiago Segarra, Antonio G. Marques

Proceedings of the IEEE International Conference on Acoustics, 2024

Structure-Guided Input Graph for GNNs Facing Heterophily.

Victor M. Tenorio, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques

Proceedings of the 58th Asilomar Conference on Signals, 2024

Transportation Network Design Under Passenger Choice.

Pushpendra Singh, Fernando Real-Rojas, Vikrant Vaze, Victor M. Tenorio

Proceedings of the 58th Asilomar Conference on Signals, 2024

A Convex Design for Transportation Networks Based on Sparsity and the Legendre Transform.

Fernando Real-Rojas, Victor M. Tenorio, Luis Cadarso, Antonio G. Marques

Proceedings of the 58th Asilomar Conference on Signals, 2024

2023

Robust Graph Filter Identification and Graph Denoising From Signal Observations.

Samuel Rey, Victor M. Tenorio, Antonio G. Marqués

IEEE Trans. Signal Process., 2023

Robust Graph Neural Network Based on Graph Denoising.

Victor M. Tenorio, Samuel Rey, Antonio G. Marques

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2021

Low-rank State-action Value-function Approximation.

Sergio Rozada, Victor Tenorio, Antonio G. Marques

Proceedings of the 29th European Signal Processing Conference, 2021

A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters.

Victor M. Tenorio, Samuel Rey, Fernando Gama, Santiago Segarra, Antonio G. Marques

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Overparametrized Deep Encoder-Decoder Schemes for Inputs and Outputs Defined over Graphs.

Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals.

Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019