Fernando Gama - RankMe

102 papers A* 1A 2Misc 21Journal 63Unranked 15

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Distributed UAV Beamforming Using Graph Recurrent Neural Networks. SAM Wenqing Zheng, Brian M. Sadler, Fernando Gama, Tianlong Chen
2024	J	`jnl`	Graph Filters for Signal Processing and Machine Learning on Graphs. IEEE Trans. Signal Process. Elvin Isufi, Fernando Gama, David I Shuman, Santiago Segarra
2024	Misc	`conf`	Unsupervised Optimal Power Flow Using Graph Neural Networks. ICASSP Damian Owerko, Fernando Gama, Alejandro Ribeiro
2023	—	`conf`	Distributed Power System State Estimation Using Graph Convolutional Neural Networks. HICSS SangWoo Park, Fernando Gama, Javad Lavaei, Somayeh Sojoudi
2023	J	`jnl`	Stability of Aggregation Graph Neural Networks. IEEE Trans. Signal Inf. Process. over Networks Alejandro Parada-Mayorga, Zhiyang Wang, Fernando Gama, Alejandro Ribeiro
2023	J	`jnl`	Unsupervised Learning of Sampling Distributions for Particle Filters. IEEE Trans. Signal Process. Fernando Gama, Nicolas Zilberstein, Martin Sevilla, Richard G. Baraniuk, Santiago Segarra
2022	—	`conf`	Distributed Optimal Control of Graph Symmetric Systems via Graph Filters. CDC Fengjun Yang, Fernando Gama, Somayeh Sojoudi, Nikolai Matni
2022	J	`jnl`	Distributed Optimal Control of Graph Symmetric Systems via Graph Filters. CoRR Fengjun Yang, Fernando Gama, Somayeh Sojoudi, Nikolai Matni
2022	J	`jnl`	Distributed linear-quadratic control with graph neural networks. Signal Process. Fernando Gama, Somayeh Sojoudi
2022	J	`jnl`	EdgeNets: Edge Varying Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Elvin Isufi, Fernando Gama, Alejandro Ribeiro
2022	J	`jnl`	Graph Filters for Signal Processing and Machine Learning on Graphs. CoRR Elvin Isufi, Fernando Gama, David I. Shuman, Santiago Segarra
2022	J	`jnl`	On Local Distributions in Graph Signal Processing. CoRR T. Mitchell Roddenberry, Fernando Gama, Richard G. Baraniuk, Santiago Segarra
2022	J	`jnl`	On Local Distributions in Graph Signal Processing. IEEE Trans. Signal Process. T. Mitchell Roddenberry, Fernando Gama, Richard G. Baraniuk, Santiago Segarra
2022	J	`jnl`	Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks. IEEE Trans. Signal Inf. Process. over Networks Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler
2022	J	`jnl`	Spherical convolutional neural networks: Stability to perturbations in SO(3). Signal Process. Zhan Gao, Fernando Gama, Alejandro Ribeiro
2022	Misc	`conf`	Stability Analysis of Unfolded WMMSE for Power Allocation. ICASSP Arindam Chowdhury, Fernando Gama, Santiago Segarra
2022	J	`jnl`	Stability of Aggregation Graph Neural Networks. CoRR Alejandro Parada-Mayorga, Zhiyang Wang, Fernando Gama, Alejandro Ribeiro
2022	J	`jnl`	Synthesizing Decentralized Controllers With Graph Neural Networks and Imitation Learning. IEEE Trans. Signal Process. Fernando Gama, Qingbiao Li, Ekaterina I. Tolstaya, Amanda Prorok, Alejandro Ribeiro
2022	Misc	`conf`	Unrolling Particles: Unsupervised Learning of Sampling Distributions. ICASSP Fernando Gama, Nicolas Zilberstein, Richard G. Baraniuk, Santiago Segarra
2022	J	`jnl`	Unsupervised Optimal Power Flow Using Graph Neural Networks. CoRR Damian Owerko, Fernando Gama, Alejandro Ribeiro
2022	J	`jnl`	Wide and Deep Graph Neural Network With Distributed Online Learning. IEEE Trans. Signal Process. Zhan Gao, Fernando Gama, Alejandro Ribeiro
2021	—	`conf`	A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters. ACSCC Victor M. Tenorio, Samuel Rey, Fernando Gama, Santiago Segarra, Antonio G. Marques
2021	J	`jnl`	A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters. CoRR Victor M. Tenorio, Samuel Rey, Fernando Gama, Santiago Segarra, Antonio G. Marques
2021	Misc	`conf`	Discriminability of Single-Layer Graph Neural Networks. ICASSP Samuel Pfrommer, Alejandro Ribeiro, Fernando Gama
2021	J	`jnl`	Distributed Linear-Quadratic Control with Graph Neural Networks. CoRR Fernando Gama, Somayeh Sojoudi
2021	Misc	`conf`	Graph Neural Networks for Decentralized Controllers. ICASSP Fernando Gama, Ekaterina I. Tolstaya, Alejandro Ribeiro
2021	—	`conf`	Graph Neural Networks for Distributed Linear-Quadratic Control. L4DC Fernando Gama, Somayeh Sojoudi
2021	J	`jnl`	Graph Neural Networks: Architectures, Stability, and Transferability. Proc. IEEE Luana Ruiz, Fernando Gama, Alejandro Ribeiro
2021	J	`jnl`	Node-Variant Graph Filters in Graph Neural Networks. CoRR Fernando Gama, Brendon G. Anderson, Somayeh Sojoudi
2021	Misc	`conf`	Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks. ICASSP Luana Ruiz, Fernando Gama, Alejandro Ribeiro, Elvin Isufi
2021	J	`jnl`	Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks. CoRR Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler
2021	J	`jnl`	Stability Analysis of Unfolded WMMSE for Power Allocation. CoRR Arindam Chowdhury, Fernando Gama, Santiago Segarra
2021	—	`conf`	Stability of Spherical Convolutional Neural Networks to Rotation Diffeomorphisms. EUSIPCO Zhan Gao, Fernando Gama, Alejandro Ribeiro
2021	J	`jnl`	Unrolling Particles: Unsupervised Learning of Sampling Distributions. CoRR Fernando Gama, Nicolas Zilberstein, Richard G. Baraniuk, Santiago Segarra
2021	Misc	`conf`	VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms. ICASSP Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler
2021	J	`jnl`	Wide and Deep Graph Neural Network with Distributed Online Learning. CoRR Zhan Gao, Fernando Gama, Alejandro Ribeiro
2021	Misc	`conf`	Wide and Deep Graph Neural Networks with Distributed Online Learning. ICASSP Zhan Gao, Alejandro Ribeiro, Fernando Gama
2020	J	`jnl`	Decentralized Control with Graph Neural Networks. CoRR Fernando Gama, Qingbiao Li, Ekaterina I. Tolstaya, Amanda Prorok, Alejandro Ribeiro
2020	J	`jnl`	Discriminability of Single-Layer Graph Neural Networks. CoRR Samuel Pfrommer, Fernando Gama, Alejandro Ribeiro
2020	J	`jnl`	EdgeNets: Edge Varying Graph Neural Networks. CoRR Elvin Isufi, Fernando Gama, Alejandro Ribeiro
2020	J	`jnl`	Gated Graph Recurrent Neural Networks. CoRR Luana Ruiz, Fernando Gama, Alejandro Ribeiro
2020	J	`jnl`	Gated Graph Recurrent Neural Networks. IEEE Trans. Signal Process. Luana Ruiz, Fernando Gama, Alejandro Ribeiro
2020	J	`jnl`	Graph Neural Networks for Decentralized Controllers. CoRR Fernando Gama, Ekaterina I. Tolstaya, Alejandro Ribeiro
2020	A	`conf`	Graph Neural Networks for Decentralized Multi-Robot Path Planning. IROS Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok
2020	A	`conf`	Graph Neural Networks for Decentralized Path Planning. AAMAS Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok
2020	J	`jnl`	Graph Neural Networks for Distributed Linear-Quadratic Control. CoRR Fernando Gama, Somayeh Sojoudi
2020	J	`jnl`	Graph Neural Networks: Architectures, Stability and Transferability. CoRR Luana Ruiz, Fernando Gama, Alejandro Ribeiro
2020	J	`jnl`	Graphs, Convolutions, and Neural Networks. CoRR Fernando Gama, Elvin Isufi, Geert Leus, Alejandro Ribeiro
2020	J	`jnl`	Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks. IEEE Signal Process. Mag. Fernando Gama, Elvin Isufi, Geert Leus, Alejandro Ribeiro
2020	J	`jnl`	Invariance-Preserving Localized Activation Functions for Graph Neural Networks. IEEE Trans. Signal Process. Luana Ruiz, Fernando Gama, Antonio Garcia Marques, Alejandro Ribeiro
2020	J	`jnl`	Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks. CoRR Luana Ruiz, Fernando Gama, Alejandro Ribeiro, Elvin Isufi
2020	Misc	`conf`	Optimal Power Flow Using Graph Neural Networks. ICASSP Damian Owerko, Fernando Gama, Alejandro Ribeiro
2020	J	`jnl`	Rethinking sketching as sampling: A graph signal processing approach. Signal Process. Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2020	Misc	`conf`	Spatial Gating Strategies for Graph Recurrent Neural Networks. ICASSP Luana Ruiz, Fernando Gama, Alejandro Ribeiro
2020	J	`jnl`	Spherical Convolutional Neural Networks: Stability to Perturbations in SO(3). CoRR Zhan Gao, Fernando Gama, Alejandro Ribeiro
2020	J	`jnl`	Stability Properties of Graph Neural Networks. IEEE Trans. Signal Process. Fernando Gama, Joan Bruna, Alejandro Ribeiro
2020	Misc	`conf`	Stability of Graph Neural Networks to Relative Perturbations. ICASSP Fernando Gama, Alejandro Ribeiro, Joan Bruna
2020	J	`jnl`	VGAI: A Vision-Based Decentralized Controller Learning Framework for Robot Swarms. CoRR Ting-Kuei Hu, Fernando Gama, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler
2020	J	`jnl`	Wide and Deep Graph Neural Networks with Distributed Online Learning. CoRR Zhan Gao, Fernando Gama, Alejandro Ribeiro
2019	Misc	`conf`	Aggregation Graph Neural Networks. ICASSP Fernando Gama, Antonio G. Marques, Alejandro Ribeiro, Geert Leus
2019	J	`jnl`	Controllability of Bandlimited Graph Processes Over Random Time Varying Graphs. IEEE Trans. Signal Process. Fernando Gama, Elvin Isufi, Alejandro Ribeiro, Geert Leus
2019	J	`jnl`	Controllability of Bandlimited Graph Processes Over Random Time-Varying Graphs. CoRR Fernando Gama, Elvin Isufi, Alejandro Ribeiro, Geert Leus
2019	Misc	`conf`	Convolutional Graph Neural Networks. ACSSC Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2019	J	`jnl`	Convolutional Neural Network Architectures for Signals Supported on Graphs. IEEE Trans. Signal Process. Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2019	Misc	`conf`	Design Strategies for Sparse Control Of Random Time-Varying NETWORKS. ACSSC Mario Coutino, Elvin Isufi, Fernando Gama, Alejandro Ribeiro, Geert Leus
2019	—	`conf`	Diffusion Scattering Transforms on Graphs. ICLR (Poster) Fernando Gama, Alejandro Ribeiro, Joan Bruna
2019	J	`jnl`	Ergodicity in Stationary Graph Processes: A Weak Law of Large Numbers. IEEE Trans. Signal Process. Fernando Gama, Alejandro Ribeiro
2019	—	`conf`	Gated Graph Convolutional Recurrent Neural Networks. EUSIPCO Luana Ruiz, Fernando Gama, Alejandro Ribeiro
2019	J	`jnl`	Gated Graph Convolutional Recurrent Neural Networks. CoRR Luana Ruiz, Fernando Gama, Alejandro Ribeiro
2019	—	`conf`	Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs. EUSIPCO Elvin Isufi, Fernando Gama, Alejandro Ribeiro
2019	J	`jnl`	Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs. CoRR Elvin Isufi, Fernando Gama, Alejandro Ribeiro
2019	J	`jnl`	Graph Neural Networks for Decentralized Multi-Robot Path Planning. CoRR Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok
2019	J	`jnl`	Invariance-Preserving Localized Activation Functions for Graph Neural Networks. CoRR Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro
2019	Misc	`conf`	Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks. CoRL Ekaterina I. Tolstaya, Fernando Gama, James Paulos, George J. Pappas, Vijay Kumar, Alejandro Ribeiro
2019	J	`jnl`	Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks. CoRR Ekaterina I. Tolstaya, Fernando Gama, James Paulos, George J. Pappas, Vijay Kumar, Alejandro Ribeiro
2019	Misc	`conf`	Median Activation Functions for Graph Neural Networks. ICASSP Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro
2019	J	`jnl`	Optimal Power Flow Using Graph Neural Networks. CoRR Damian Owerko, Fernando Gama, Alejandro Ribeiro
2019	J	`jnl`	Stability Properties of Graph Neural Networks. CoRR Fernando Gama, Joan Bruna, Alejandro Ribeiro
2019	J	`jnl`	Stability of Graph Neural Networks to Relative Perturbations. CoRR Fernando Gama, Joan Bruna, Alejandro Ribeiro
2019	A*	`conf`	Stability of Graph Scattering Transforms. NeurIPS Fernando Gama, Alejandro Ribeiro, Joan Bruna
2019	J	`jnl`	Stability of Graph Scattering Transforms. CoRR Fernando Gama, Joan Bruna, Alejandro Ribeiro
2018	—	`conf`	CNN Architectures for Graph Data. GlobalSIP Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2018	Misc	`conf`	Control of Graph Signals Over Random Time-Varying Graphs. ICASSP Fernando Gama, Elvin Isufi, Geert Leus, Alejandro Ribeiro
2018	J	`jnl`	Convolutional Neural Networks Architectures for Signals Supported on Graphs. CoRR Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2018	—	`conf`	Convolutional Neural Networks via Node-Varying Graph Filters. DSW Fernando Gama, Geert Leus, Antonio G. Marques, Alejandro Ribeiro
2018	J	`jnl`	Diffusion Scattering Transforms on Graphs. CoRR Fernando Gama, Alejandro Ribeiro, Joan Bruna
2018	J	`jnl`	Hierarchical Overlapping Clustering of Network Data Using Cut Metrics. IEEE Trans. Signal Inf. Process. over Networks Fernando Gama, Santiago Segarra, Alejandro Ribeiro
2018	—	`conf`	MIMO Graph Filters for Convolutional Neural Networks. SPAWC Fernando Gama, Antonio G. Marques, Alejandro Ribeiro, Geert Leus
2018	J	`jnl`	MIMO Graph Filters for Convolutional Neural Networks. CoRR Fernando Gama, Antonio G. Marques, Alejandro Ribeiro, Geert Leus
2018	J	`jnl`	Median activation functions for graph neural networks. CoRR Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro
2018	—	`conf`	Predicting Power Outages Using Graph Neural Networks. GlobalSIP Damian Owerko, Fernando Gama, Alejandro Ribeiro
2017	J	`jnl`	Convolutional Neural Networks Via Node-Varying Graph Filters. CoRR Fernando Gama, Geert Leus, Antonio Garcia Marques, Alejandro Ribeiro
2017	—	`conf`	Distributed estimation of smooth graph power spectral density. GlobalSIP Fernando Gama, Alejandro Ribeiro
2017	—	`conf`	Improving Our Understanding of the Behavior of Bees Through Anomaly Detection Techniques. ICANN (2) Fernando Gama, Helder M. Arruda, Hanna V. Carvalho, Paulo A. de Souza, Gustavo Pessin
2017	Misc	`conf`	Weak law of large numbers for stationary graph processes. ICASSP Fernando Gama, Alejandro Ribeiro
2016	J	`jnl`	Hierarchical Overlapping Clustering of Network Data Using Cut Metrics. CoRR Fernando Gama, Santiago Segarra, Alejandro Ribeiro
2016	Misc	`conf`	Overlapping clustering of network data using cut metrics. ICASSP Fernando Gama, Santiago Segarra, Alejandro Ribeiro
2016	J	`jnl`	Rethinking Sketching as Sampling: A Graph Signal Processing Approach. CoRR Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2016	Misc	`conf`	Rethinking sketching as sampling: Linear transforms of graph signals. ACSSC Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2016	Misc	`conf`	VCloud: adding interactiveness to word clouds for knowledge exploration in large unstructured texts. SAC Wallace P. Lira, Fernando Gama, Hivana Melo Barbosa Dall'Agnol, Ronnie Alves, Cleidson R. B. de Souza
2015	J	`jnl`	Analysis and Comparison of Biased Affine Estimators. IEEE Trans. Signal Process. Fernando Gama, Daniel Casaglia, Bruno Cernuschi-Frías
2014	J	`jnl`	Deepest Minimum Criterion for Biased Affine Estimation. IEEE Trans. Signal Process. Bruno Cernuschi-Frías, Fernando Gama, Daniel Casaglia