Victor Manuel Tenorio

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

© 2024. All rights reserved.

Publications

Journal Papers

  1. V. M. Tenorio and A. G. Marques, ``Exploiting the Structure of Two Graphs with Graph Neural Networks’’, (submitted).
  2. 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, 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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.
  7. 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.
  8. 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.