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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

* arXiv admin note: substantial text overlap with arXiv:2202.12199 

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Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks


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

* 5 pages, 11 figures, accepted to IEEE ICASSP 2022. arXiv admin note: text overlap with arXiv:2111.07017 

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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

* 5 pages, 2 figures 

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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

* 5 pages, 6 figures, submitted to ICASSP 2022. arXiv admin note: text overlap with arXiv:2109.05536 

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Stability Analysis of Unfolded WMMSE for Power Allocation


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

* Under review at IEEE ICASSP 2022 

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Robust MIMO Detection using Hypernetworks with Learned Regularizers


Oct 13, 2021
Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra


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Label Propagation across Graphs: Node Classification using Graph Neural Tangent Kernels


Oct 07, 2021
Artun Bayer, Arindam Chowdhury, Santiago Segarra

* Under review at IEEE ICASSP 2022 

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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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Joint inference of multiple graphs with hidden variables from stationary graph signals


Oct 05, 2021
Samuel Rey, Andrei Buciulea, Madeline Navarro, Santiago Segarra, Antonio G. Marques

* Paper submitted to ICASSP 2022 

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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

* Presented in the 2021 Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 31 Oct. -- 3 Nov. 2021 

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Untrained Graph Neural Networks for Denoising


Sep 24, 2021
Samuel Rey, Santiago Segarra, Reinhard Heckel, Antonio G. Marques


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Hodgelets: Localized Spectral Representations of Flows on Simplicial Complexes


Sep 17, 2021
T. Mitchell Roddenberry, Florian Frantzen, Michael T. Schaub, Santiago Segarra


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ML-aided power allocation for Tactical MIMO


Sep 14, 2021
Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra

* Under review at MILCOM 2021 

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Link Scheduling using Graph Neural Networks


Sep 12, 2021
Zhongyuan Zhao, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra

* 13 pages, 15 figures, submitted to IEEE Journal of Selected Topics in Signal Processing. arXiv admin note: text overlap with arXiv:2011.09430 

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Robust Hierarchical Clustering for Directed Networks: An Axiomatic Approach


Aug 16, 2021
Gunnar Carlsson, Facundo Mémoli, Santiago Segarra


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Signal processing on simplicial complexes


Jun 14, 2021
Michael T. Schaub, Jean-Baptiste Seby, Florian Frantzen, T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra

* 29 pages; 5 figures. arXiv admin note: text overlap with arXiv:2101.05510 

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Graph-signal Reconstruction and Blind Deconvolution for Structured Inputs


Jun 01, 2021
David Ramírez, Antonio G. Marques, Santiago Segarra


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An Impossibility Theorem for Node Embedding


May 27, 2021
T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra


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Free Energy Node Embedding via Generalized Skip-gram with Negative Sampling


May 19, 2021
Yu Zhu, Ananthram Swami, Santiago Segarra


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GIST: Distributed Training for Large-Scale Graph Convolutional Networks


Feb 20, 2021
Cameron R. Wolfe, Jingkang Yang, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis

* 17 pages, 5 figures, pre-print under review 

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Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning


Feb 19, 2021
Yu Zhu, Boning Li, Santiago Segarra


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Principled Simplicial Neural Networks for Trajectory Prediction


Feb 19, 2021
Nicholas Glaze, T. Mitchell Roddenberry, Santiago Segarra


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Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond


Jan 14, 2021
Michael T. Schaub, Yu Zhu, Jean-Baptiste Seby, T. Mitchell Roddenberry, Santiago Segarra

* 38 pages; 7 figures 

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Blind Demixing of Diffused Graph Signals


Dec 24, 2020
Fernando J. Iglesias Garcia, Santiago Segarra, Antonio G. Marques

* 13 pages, 3 figures, journal article submitted to TSP 

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Rank-One Measurements of Low-Rank PSD Matrices Have Small Feasible Sets


Dec 17, 2020
T. Mitchell Roddenberry, Santiago Segarra, Anastasios Kyrillidis

* 22 pages, 3 figures 

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Distributed Scheduling using Graph Neural Networks


Nov 18, 2020
Zhongyuan Zhao, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra

* 5 pages, 6 figures, submitted to IEEE ICASSP 2021 

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