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Solving Linear Inverse Problems using Higher-Order Annealed Langevin Diffusion


May 08, 2023
Nicolas Zilberstein, Ashutosh Sabharwal, Santiago Segarra

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Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering based on the 1-Laplacian


Apr 30, 2023
Yu Zhu, Boning Li, Santiago Segarra

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* arXiv admin note: text overlap with arXiv:2208.07457 

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Learning to Transmit with Provable Guarantees in Wireless Federated Learning


Apr 18, 2023
Boning Li, Jake Perazzone, Ananthram Swami, Santiago Segarra

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Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks


Apr 02, 2023
Arindam Chowdhury, Gunjan Verma, Ananthram Swami, Santiago Segarra

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* Under review at IEEE Trans. in Wireless Comm 

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Signal Processing on Product Spaces


Mar 18, 2023
T. Mitchell Roddenberry, Vincent P. Grande, Florian Frantzen, Michael T. Schaub, Santiago Segarra

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Windowed Fourier Analysis for Signal Processing on Graph Bundles


Feb 11, 2023
T. Mitchell Roddenberry, Santiago Segarra

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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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Joint graph learning from Gaussian observations in the presence of hidden nodes


Dec 04, 2022
Samuel Rey, Madeline Navarro, Andrei Buciulea, Santiago Segarra, Antonio G. Marques

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* This paper has been accepted in 2022 Asilomar Conference on Signals, Systems, and Computers 

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Delay-aware Backpressure Routing Using Graph Neural Networks


Nov 19, 2022
Zhongyuan Zhao, Bojan Radojicic, Gunjan Verma, Ananthram Swami, Santiago Segarra

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* 5 pages, 5 figures, submitted to IEEE ICASSP 2023 

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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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