Publications

Journals

  1. Z. Gao, F. Gama, and A. Ribeiro, “Wide and Deep Graph Neural Network with Distributed Online Learning,” arXiv:2107.09203v1 [cs.LG], 19 July 2021, submitted to IEEE Trans. Signal Process.

  2. T.-K. Hu, F. Gama, T. Chen, W. Zheng, Z. Wang, A. Ribeiro, and B. M. Sadler, “Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks,” arXiv:2106.13358v1 [cs.RO], 24 June 2021, submitted to IEEE Trans. Signal, Inform. Process. Networks.

  3. F. Gama and S. Sojoudi, “Distributed Linear-Quadratic Control with Graph Neural Networks,” arXiv:2103.08417v3 [eess.SY], 13 July 2021, submitted to Signal Process.

  4. F. Gama, Q. Li, E. Tolstaya, A. Prorok, and A. Ribeiro, "Decentralized Control with Graph Neural Networks," arXiv:2012.14906v2 [cs.LG], 8 June 2021, submitted to IEEE Trans. Signal Process.

  5. Z. Gao, F. Gama, and A. Ribeiro, “Spherical Convolutional Neural Networks: Stability to Perturbations in SO(3),” arXiv:2010.05865v2 [cs.LG], 3 Apr. 2021, submitted to Signal Process.

  6. E. Isufi, F. Gama, and A. Ribeiro, "EdgeNets: Edge Varying Graph Neural Networks," arXiv:2001.07620v3 [cs.LG], 27 July 2021, submitted to IEEE Trans. Pattern Anal. Mach. Intell.

  7. L. Ruiz, F. Gama, and A. Ribeiro, "Graph Neural Networks: Architectures, Stability and Transferability," Proc. IEEE, vol. 109, no. 5, pp. 660–682, May 2021.

  8. F. Gama, E. Isufi, G. Leus, and A. Ribeiro, "Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks," IEEE Signal Process. Mag., vol. 37, no. 6, pp. 128-138, Nov. 2020.

  9. L. Ruiz, F. Gama, and A. Ribeiro, "Gated Graph Recurrent Neural Networks," IEEE Trans. Signal Process., vol. 68, pp. 6303-6318, 26 Oct. 2020.

  10. F. Gama, J. Bruna, and A. Ribeiro, "Stability Properties of Graph Neural Networks," IEEE Trans. Signal Process., vol. 68, pp. 5680-5695, 25 Sep. 2020.

  11. F. Gama, A. G. Marques, G. Mateos, and A. Ribeiro, "Rethinking Sketching as Sampling: A Graph Signal Processing Approach," Signal Process., vol. 169, pp. 107 404 (1-15), Apr. 2020.

  12. L. Ruiz, F. Gama, A. G. Marques, and A. Ribeiro, "Invariance-Preserving Localized Activation Functions for Graph Neural Networks," IEEE Trans. Signal Process., vol. 68, pp. 127-141, 25 Nov. 2019.

  13. F. Gama, E. Isufi, A. Ribeiro, and G. Leus, "Controllability of Bandlimited Graph Processes over Random Time-Varying Graphs," IEEE Trans. Signal Process., vol. 67, no. 24, pp. 6440-6454, 15 Dec. 2019.

  14. F. Gama and A. Ribeiro, "Ergodicity in Stationary Graph Processes: A Weak Law of Large Numbers," IEEE Trans. Signal Process., vol. 67, no. 10, pp. 2761-2774, 15 May 2019.

  15. F. Gama, A. G. Marques, G. Leus, and A. Ribeiro, "Convolutional Neural Networks Architectures for Signals Supported on Graphs," IEEE Trans. Signal Process., vol. 67, no. 4, pp. 1034-1049, 15 Feb. 2019.

  16. F. Gama, S. Segarra, and A. Ribeiro, "Hierarchical Overlapping Clustering of Network Data Using Cut Metrics," IEEE Trans. Signal, Inform. Process. Networks, vol. 4, no. 2, pp. 392-406, June 2018.

  17. F. Gama, D. Casaglia, and B. Cernuschi-Frías, "Analysis and Comparison of Biased Affine Estimators," IEEE Trans. Signal Process., vol. 63, no. 4, pp. 859–869, 15 Feb. 2015.

  18. B. Cernuschi-Frías, F. Gama, and D. Casaglia, "Deepest Minimum Criterion for Biased Affine Estimation," IEEE Trans. Signal Process., vol. 62, no. 9, pp. 2437–2449, 1 May 2014.

  19. F. Gama, D. Casaglia, and B. Cernuschi-Frías, "Alternative Admissible Biased Estimators," IEEE Latin America Trans., vol. 11, no. 1, pp. 40–47, Feb. 2013.

Conference Papers

  1. F. Gama, B. G. Anderson, and S. Sojoudi, “Node-Variant Graph Filters in Graph Neural Networks,” arXiv:2106.00089v1 [cs.LG], 31 May 2021, submitted to 35th Conf. Neural Inform. Process. Syst.

  2. Z. Gao, F. Gama, and A. Ribeiro, “Stability of Spherical Convolutional Neural Networks to Rotation Diffeomorphisms,” in 29th Eur. Signal Process. Conf. Dublin, Ireland: Eur. Assoc. Signal Process., 23-27 Aug. 2021.

  3. F. Gama and S. Sojoudi, "Graph Neural Networks for Distributed Linear-Quadratic Control," in 3rd Annu. Conf. Learning Dynamics Control. Zürich, Switzerland: Proc. Mach. Learning Res., 7-8 June 2021.

  4. S. Pfrommer, F. Gama, and A. Ribeiro, "Discriminability of Single-Layer Graph Neural Networks," in 46th IEEE Int. Conf. Acoust., Speech and Signal Process. Toronto, ON: IEEE, 6-11 June 2021, pp. 8508–8512.

  5. Z. Gao, F. Gama, and A. Ribeiro, "Wide and Deep Graph Neural Networks with Distributed Online Learning," in 46th IEEE Int. Conf. Acoust., Speech and Signal Process. Toronto, ON: IEEE, 6-11 June 2021, pp. 5270–5274.

  6. L. Ruiz, F. Gama, A. Ribeiro, and E. Isufi, "Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks," in 46th IEEE Int. Conf. Acoust., Speech and Signal Process. Toronto, ON: IEEE, 6-11 June 2021, pp. 5265-5269.

  7. F. Gama, E. Tolstaya, and A. Ribeiro, "Graph Neural Networks for Decentralized Controllers," in 46th IEEE Int. Conf. Acoust., Speech and Signal Process. Toronto, ON: IEEE, 6-11 June 2021, pp. 5260-5264.

  8. T.-K. Hu, F. Gama, T. Chen, Z. Wang, A. Ribeiro, and B. M. Sadler, "VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms," in 46th IEEE Int. Conf. Acoust., Speech and Signal Process. Toronto, ON: IEEE, 6-11 June 2021, pp. 4900-4904.

  9. Q. Li, F. Gama, A. Ribeiro, and A. Prorok, "Graph Neural Networks for Decentralized Multi-Robot Path Planning," in 2020 IEEE/RSJ Int. Conf. Intell. Robots and Syst. Las Vegas, NV: IEEE, 25-29 Oct. 2020, pp. 11785-11792.

  10. Q. Li, F. Gama, A. Ribeiro, and A. Prorok, "Graph Neural Networks for Decentralized Path Planning," in 19th Int. Conf. Autonomous Agents and Multi-Agent Syst. Auckland, New Zealand: IFAAMAS, 9-13 May 2020, pp. 1901-1903.

  11. F. Gama, J. Bruna, and A. Ribeiro, "Stability of Graph Neural Networks to Relative Perturbations," in 45th IEEE Int. Conf. Acoust., Speech and Signal Process. Barcelona, Spain: IEEE, 4-8 May 2020, pp. 9070-9074.

  12. L. Ruiz, F. Gama, and A. Ribeiro, "Spatial Gating Strategies for Graph Recurrent Neural Networks," in 45th IEEE Int. Conf. Acoust., Speech and Signal Process. Barcelona, Spain: IEEE, 4-8 May 2020, pp. 5550–5554.

  13. D. Owerko, F. Gama, and A. Ribeiro, "Optimal Power Flow Using Graph Neural Networks," in 45th IEEE Int. Conf. Acoust., Speech and Signal Process. Barcelona, Spain: IEEE, 4-8 May 2020, pp. 5930-5934.

  14. F. Gama, J. Bruna, and A. Ribeiro, "Stability of Graph Scattering Transforms," in 33rd Conf. Neural Inform. Process. Syst. Vancouver, BC: Neural Inform. Process. Syst. Foundation, 8-14 Dec. 2019, pp. 8038-8048.

  15. F. Gama, A. G. Marques, G. Leus, and A. Ribeiro, "Convolutional Graph Neural Networks," in 53rd Asilomar Conf. Signals, Systems and Comput. Pacific Grove, CA: IEEE, 3-6 Nov. 2019, pp. 452-456.

  16. M. Coutino, E. Isufi, F. Gama, A. Ribeiro, and G. Leus, "Design Strategies for Sparse Control of Random Time-Varying Networks," in 53rd Asilomar Conf. Signals, Systems and Comput. Pacific Grove, CA: IEEE, 3-6 Nov. 2019, pp. 184-188.

  17. E. Tolstaya, F. Gama, J. Paulos, G. Pappas, V. Kumar, and A. Ribeiro, "Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks," in Conf. Robot Learning 2019, vol. 100. Osaka, Japan: Proc. Mach. Learning Res., 30 Oct.-1 Nov. 2019, pp. 671-682.

  18. L. Ruiz, F. Gama, and A. Ribeiro, "Gated Graph Convolutional Recurrent Neural Networks," in 27th Eur. Signal Process. Conf. A Coruña, Spain: Eur. Assoc. Signal Process., 2-6 Sep. 2019, pp. 1–5, best student paper award.

  19. E. Isufi, F. Gama, and A. Ribeiro, "Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs," in 27th Eur. Signal Process. Conf. A Coruña, Spain: Eur. Assoc. Signal Process., 2-6 Sep. 2019, pp. 1-5.

  20. F. Gama, A. G. Marques, G. Leus, and A. Ribeiro, "Aggregation Graph Neural Networks," in 44th IEEE Int. Conf. Acoust., Speech and Signal Process. Brighton, UK: IEEE, 12-17 May 2019, pp. 4943-4947.

  21. L. Ruiz, F. Gama, A. G. Marques, and A. Ribeiro, "Median Activation Functions for Graph Neural Networks," in 44th IEEE Int. Conf. Acoust., Speech and Signal Process. Brighton, UK: IEEE, 12-17 May 2019, pp. 7440-7447.

  22. F. Gama, A. Ribeiro, and J. Bruna, "Diffusion Scattering Transforms on Graphs," in 7th Int. Conf. Learning Representations, New Orleans, LA, 6-9 May 2019, pp. 1–12.

  23. D. Owerko, F. Gama, and A. Ribeiro, "Predicting Power Outages Using Graph Neural Networks," in 2018 IEEE Global Conf. Signal and Inform. Process. Anaheim, CA: IEEE, 26-29 Nov. 2018, pp. 743-747.

  24. F. Gama, A. G. Marques, A. Ribeiro, and G. Leus, "MIMO Graph Filters for Convolutional Networks," in 19th IEEE Int. Workshop Signal Process. Advances in Wireless Commun. Kalamata, Greece: IEEE, 25-28 June 2018, pp. 1-5.

  25. F. Gama, G. Leus, A. G. Marques, and A. Ribeiro, "Convolutional Neural Networks via Node-Varying Graph Filters," in 2018 IEEE Data Sci. Workshop. Lausanne, Switzerland: IEEE, 4-6 June 2018, pp. 220-224.

  26. F. Gama, E. Isufi, G. Leus, and A. Ribeiro, "Control of Graph Signals over Random Time-Varying Graphs," in 43rd IEEE Int. Conf. Acoust., Speech and Signal Process. Calgary, AB: IEEE, 15-20 Apr. 2018, pp. 4169-4173.

  27. F. Gama and A. Ribeiro, "Distributed Estimation of Smooth Graph Power Spectral Density," in 2017 IEEE Global Conf. Signal and Inform. Process. Montreal, QC: IEEE, 14-16 Nov. 2017, pp. 643-647.

  28. F. Gama and A. Ribeiro, "Weak Law of Large Numbers for Stationary Graph Processes," in 42nd IEEE Int. Conf. Acoust., Speech and Signal Process. New Orleans, LA: IEEE, 5-9 March 2017, pp. 4124-4128.

  29. F. Gama, A. G. Marques, G. Mateos, and A. Ribeiro, "Rethinking Sketching as Sampling: Approximate Solution to Linear Inverse Problems," in 2016 IEEE Global Conf. Signal and Inform. Process. Washington, DC: IEEE, 7-9 Dec. 2016, pp. 390-394.

  30. F. Gama, A. G. Marques, G. Mateos, and A. Ribeiro, "Rethinking Sketching as Sampling: Linear Transforms of Graph Signals, " in 50th Asilomar Conf. Signals, Systems and Comput., Pacific Grove, CA, 6-9 Nov. 2016, pp. 522-526.

  31. F. Gama, S. Segarra, and A. Ribeiro, "Overlapping Clustering of Network Data Using Cut Metrics," in 41st IEEE Int. Conf. Acoust., Speech and Signal Process. Shanghai, China: IEEE, 20-25 March 2016, pp. 6415-6419.

  32. M. Bouza, F. Gama, and B. Cernuschi-Frías, "Lowpass FIR Filter Affine Biased Identification," in 24 Congr. Arg. Control Autom. 2014. Buenos Aires, Argentina: Asoc. Arg. Control Autom. (AADECA), 27-29 Oct. 2014, pp. 3 (1-7).

  33. F. Gama, B. Cernuschi-Frías, and D. Casaglia, "A New Approach for Biased Affine Estimation," in 2014 IEEE Biennial Congr. Arg. Bariloche, Argentina: IEEE AR, 11-13 June 2014, pp. 13–18.

  34. F. Gama, D. Casaglia, and B. Cernuschi-Frías, "Use of Karush-Kuhn-Tucker conditions for obtaining a Closed Form expression for the MiniMax Affine Estimator," in XV Workshop Inform. Process. Control, Bariloche, Argentina, 16-20 Sep. 2013, pp. 126-131.

  35. F. Gama, D. Casaglia, and B. Cernuschi-Frías, "Minimax Affine Estimation of Parameters of Multiple Damped Complex Exponentials," in 42 Arg. Symp. Technol. Córdoba, Argentina: Soc. Arg. Inform. (SADIO), 16-20 Sep. 2013, pp. 81-92.

  36. F. Gama, D. Casaglia, and B. Cernuschi-Frías, "Characterization of Estimators with Affine Bias," in 23 Congr. Arg. Control Autom. 2012. Buenos Aires, Argentina: Asoc. Arg. Control Autom. (AADECA), 3-5 Oct. 2012, pp. 20 (1-7).

  37. F. Gama, D. Casaglia, and B. Cernuschi-Frías, "Application of Affine Estimators to Single Tone Frequency Estimation," in 41 Arg. Symp. Technol. La Plata, Argentina: Soc. Arg. Inform. (SADIO), 27-31 Aug. 2012, pp. 121-131.

  38. F. Gama, D. Casaglia, and B. Cernuschi-Frías, “Alternative Admissible Biased Estimators,” in 2012 IEEE Biennial Congr. Arg. Córdoba, Argentina: IEEE AR, 13-15 June 2012, pp. 105 (1-6).