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Santiago Segarra

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Hypergraphs with Edge-Dependent Vertex Weights: p-Laplacians and Spectral Clustering

Aug 15, 2022
Yu Zhu, Santiago Segarra

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Enhanced graph-learning schemes driven by similar distributions of motifs

Jul 11, 2022
Samuel Rey, T. Mitchell Roddenberry, Santiago Segarra, Antonio G. Marques

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Annealed Langevin Dynamics for Massive MIMO Detection

May 11, 2022
Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra

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Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks

Mar 27, 2022
Zhongyuan Zhao, Ananthram Swami, Santiago Segarra

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Detection by Sampling: Massive MIMO Detector based on Langevin Dynamics

Feb 24, 2022
Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra

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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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Graphon-aided Joint Estimation of Multiple Graphs

Feb 11, 2022
Madeline Navarro, Santiago Segarra

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Graph-based Algorithm Unfolding for Energy-aware Power Allocation in Wireless Networks

Jan 27, 2022
Boning Li, Gunjan Verma, Santiago Segarra

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Power Allocation for Wireless Federated Learning using Graph Neural Networks

Nov 15, 2021
Boning Li, Ananthram Swami, Santiago Segarra

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Delay-Oriented Distributed Scheduling Using Graph Neural Networks

Nov 13, 2021
Zhongyuan Zhao, Gunjan Verma, Ananthram Swami, Santiago Segarra

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