Victor Manuel Tenorio

PhD Student in King Juan Carlos University, Madrid. Graph Neural Networks is my main area of research.

© 2025. All rights reserved.

Research

Journal Papers

  1. V. M. Tenorio, M. Navarro, S. Rey, S. Segarra and A. G. Marques. “Adapting to Heterophilic Graph Data with Structure-Guided Neighbor Discovery”. Submitted to IEEE Transactions on Neural Networks and Learning Systems, IEEE. https://arxiv.org/abs/2506.08871
  2. C. Liu, V. M. Tenorio, A. G. Marques and E. Isufi, “Matched Topological Subspace Detector”. Submitted to IEEE Transactions on Signal Processing, IEEE. https://arxiv.org/abs/2504.05892.
  3. F. Real Rojas, V. M. Tenorio, L. Cadarso and A. G. Marques “Rapid Transit Network Design Via Convex Optimization: The Role of Sparsity and Entropy-Based Regularizers”. Submitted to Transportation Research Part B, Elsevier. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5132628
  4. V. M. Tenorio and A. G. Marques, “Exploiting the Structure of Two Graphs with Graph Neural Networks’’, Submitted to IEEE Transaction on Signal and Information Processing over Networks, IEEE. https://arxiv.org/abs/2411.05119
  5. S. Rey, V. M. Tenorio, and A. G. Marques, “Robust Graph Filter Identification and Graph Denoising From Signal Observations”, in IEEE Transactions on Signal Processing, vol. 71, pp. 3651-3666, 2023, doi: 10.1109/TSP.2023.3300632.. https://arxiv.org/abs/2210.08488

Conference papers

  1. V. M. Tenorio, N. Zilberstein, S. Segarra and A. G. Marques, “Graph Guided Diffusion: Unified Guidance for Conditional Graph Generation”, under review for the Thirty-Ninth Annual Conference on Neural Information Processing Systems NeurIPS 2025. https://arxiv.org/abs/2505.19685
  2. R. Ramezanpour, V. M. Tenorio, A. G. Marques, A. Sabharwal and S. Segarra, “A Few Moments Please: Scalable Graphon Learning via Moment Matching”, under review for the Thirty-Ninth Annual Conference on Neural Information Processing Systems NeurIPS 2025. https://arxiv.org/abs/2506.04206
  3. V. M. Tenorio, E. Isufi, G. Leus and A. G. Marques, “Tracking Network Dynamics using Probabilistic State-Space Models”, Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Hyderabad, India, 6-11 April 2025. https://arxiv.org/abs/2409.08238v1
  4. S. Rey, M. Navarro, V. M. Tenorio, S. Segarra and A. G. Marques, “Redesigning graph filter-based GNNs to relax the homophily assumption”, Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Hyderabad, India, 6-11 April 2025. https://arxiv.org/abs/2409.08676
  5. L. Jiang, Q. Xiao, V. M. Tenorio, F. Real-Rojas, A. G. Marques and T. Chen, “A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints”, Thirty-Eighth Annual Conference on Neural Information Processing Systems NeurIPS 2024, Vancouver, Canada, 10-15 Dec 2024. https://arxiv.org/abs/2406.10148
  6. V. M. Tenorio, M. Navarro, S. Rey, S. Segarra and A. G. Marques, “Structure-Guided Input Graph for GNNs facing Heterophily”, Proc. of the 2024 Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, Oct. 27-30, 2025. https://arxiv.org/abs/2412.01757
  7. P. Singh, F. Real-Rojas, V. Vaze and V. M. Tenorio, “Transportation Network Design Under Passenger Choice”, Proc. of the 2024 Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, Oct. 27-30, 2024.
  8. F. Real-Rojas, V. M. Tenorio, L.Cadarso and A. G. Marques, “A convex design for transportation networks based on sparsity and the Legendre transform”, Proc. of the 2024 Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, Oct. 27-30, 2024.
  9. V. M. Tenorio, M. Navarro, S. Segarra and A. G. Marques, “Recovering Missing Node Features with Local Structure-based Embeddings”, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Seoul, South Korea, 14-19 April 2024. https://arxiv.org/abs/2309.09068
  10. V. M. Tenorio, S. Rey and A. G. Marques, “Blind Deconvolution of Sparse Graph Signals in the Presence of Perturbations”, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Seoul, South Korea, 14-19 April 2024. https://arxiv.org/abs/2309.09063
  11. V. M. Tenorio, S. Rey and A. G. Marques, “Robust Graph Neural Network based on Graph Denoising”, Proceedings of the 2023 Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, US, 29 October - November 1, 2023. https://arxiv.org/abs/2312.06557
  12. V. M. Tenorio, S. Rey, F. Gama, S. Segarra, and A. G. Marques, “A robust alternative for graph convolutional neural networks via graph neighborhood filters”, Proc. of 55th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Oct. 31- Nov. 3, 2021. https://arxiv.org/abs/2110.00844
  13. S. Rozada, V. M. Tenorio, and A. G. Marques, “Low-rank State-action Value-function Approximation”, 29th European Signal Processing Conference (EUSIPCO) Dublin, Ireland, Aug. 23-27, 2021. https://arxiv.org/abs/2104.08805
  14. V. M. Tenorio, A. G. Marques, L. Cadarso, “Signal Processing and Machine Learning for Air Traffic Delay Prediction”, XIV Conference on Transport Engineering (CIT) Burgos, Spain, Jul. 6-8, 2021. Best Student Paper Award.
  15. S. Rey, V. M. Tenorio, S. Rozada, L. Martino, and A. G. Marques, “Overparametrized Deep Encoder-Decoder Schemes for Inputs and Outputs Defined over Graphs”, 28th European Signal Processing Conference (EUSIPCO), 855-59. Amsterdam, Netherlands, Jan. 18-22, 2021.
  16. S. Rey, V. M. Tenorio, S. Rozada, L. Martino, and A. G. Marques, “Deep Encoder-Decoder Architectures for Graph Output Signals”, Proc. of 53rd Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, Nov. 3-6, 2019.