Picture for Santiago Segarra

Santiago Segarra

Solving Linear Inverse Problems using Higher-Order Annealed Langevin Diffusion

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

Figure 1 for Solving Linear Inverse Problems using Higher-Order Annealed Langevin Diffusion

Figure 2 for Solving Linear Inverse Problems using Higher-Order Annealed Langevin Diffusion

Access Paper or Ask Questions

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

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

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

* arXiv admin note: text overlap with arXiv:2208.07457

Access Paper or Ask Questions

Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks

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

Figure 1 for Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks

Figure 2 for Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks

Figure 3 for Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks

Figure 4 for Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks

* Under review at IEEE Trans. in Wireless Comm

Access Paper or Ask Questions

Windowed Fourier Analysis for Signal Processing on Graph Bundles

Feb 11, 2023
T. Mitchell Roddenberry, Santiago Segarra

Figure 1 for Windowed Fourier Analysis for Signal Processing on Graph Bundles

Figure 2 for Windowed Fourier Analysis for Signal Processing on Graph Bundles

Figure 3 for Windowed Fourier Analysis for Signal Processing on Graph Bundles

Figure 4 for Windowed Fourier Analysis for Signal Processing on Graph Bundles

Access Paper or Ask Questions

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

Figure 1 for Joint graph learning from Gaussian observations in the presence of hidden nodes

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

Access Paper or Ask Questions

Delay-aware Backpressure Routing Using Graph Neural Networks

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

Figure 1 for Delay-aware Backpressure Routing Using Graph Neural Networks

Figure 2 for Delay-aware Backpressure Routing Using Graph Neural Networks

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

Access Paper or Ask Questions