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Fernando Gama

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Unsupervised Learning of Sampling Distributions for Particle Filters

Feb 02, 2023
Fernando Gama, Nicolas Zilberstein, Martin Sevilla, Richard Baraniuk, Santiago Segarra

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Graph Filters for Signal Processing and Machine Learning on Graphs

Nov 16, 2022
Elvin Isufi, Fernando Gama, David I. Shuman, Santiago Segarra

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Unsupervised Optimal Power Flow Using Graph Neural Networks

Oct 17, 2022
Damian Owerko, Fernando Gama, Alejandro Ribeiro

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Stability of Aggregation Graph Neural Networks

Jul 08, 2022
Alejandro Parada-Mayorga, Zhiyang Wang, Fernando Gama, Alejandro Ribeiro

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On Local Distributions in Graph Signal Processing

Feb 22, 2022
T. Mitchell Roddenberry, Fernando Gama, Richard G. Baraniuk, Santiago Segarra

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Stability Analysis of Unfolded WMMSE for Power Allocation

Oct 14, 2021
Arindam Chowdhury, Fernando Gama, Santiago Segarra

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Unrolling Particles: Unsupervised Learning of Sampling Distributions

Oct 06, 2021
Fernando Gama, Nicolas Zilberstein, Richard G. Baraniuk, Santiago Segarra

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

Oct 02, 2021
Victor M. Tenorio, Samuel Rey, Fernando Gama, Santiago Segarra, Antonio G. Marques

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Wide and Deep Graph Neural Network with Distributed Online Learning

Jul 19, 2021
Zhan Gao, Fernando Gama, Alejandro Ribeiro

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Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks

Jun 24, 2021
Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler

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