Jesús Arroyo Relión
Cited by
Cited by
Inference for multiple heterogeneous networks with a common invariant subspace
J Arroyo, A Athreya, J Cape, G Chen, CE Priebe, JT Vogelstein
Journal of Machine Learning Research 22 (142), 1-49, 2021
Network classification with applications to brain connectomics
JD Arroyo Relión, D Kessler, E Levina, SF Taylor
The Annals of Applied Statistics 13 (3), 1648-1677, 2019
Joint embedding of graphs
S Wang, J Arroyo, JT Vogelstein, CE Priebe
IEEE transactions on pattern analysis and machine intelligence 43 (4), 1324-1336, 2019
Statistical connectomics
J Chung, E Bridgeford, J Arroyo, BD Pedigo, A Saad-Eldin, ...
Annual Review of Statistics and Its Application 8, 463-492, 2021
Joint embedding: A scalable alignment to compare individuals in a connectivity space
KH Nenning, T Xu, E Schwartz, J Arroyo, A Woehrer, AR Franco, ...
Neuroimage 222, 117232, 2020
The importance of being correlated: Implications of dependence in joint spectral inference across multiple networks
K Pantazis, A Athreya, J Arroyo, WN Frost, ES Hill, V Lyzinski
Journal of Machine Learning Research 23 (141), 1-77, 2022
Multiple network embedding for anomaly detection in time series of graphs
G Chen, J Arroyo, A Athreya, J Cape, JT Vogelstein, Y Park, C White, ...
arXiv preprint arXiv:2008.10055, 2020
Efficient distributed estimation of inverse covariance matrices
J Arroyo, E Hou
2016 IEEE Statistical Signal Processing Workshop (SSP), 1-5, 2016
Overlapping community detection in networks via sparse spectral decomposition
J Arroyo, E Levina
Sankhya A 84 (1), 1-35, 2022
Valid two‐sample graph testing via optimal transport Procrustes and multiscale graph correlation with applications in connectomics
J Chung, B Varjavand, J Arroyo‐Relión, A Alyakin, J Agterberg, M Tang, ...
Stat 11 (1), e429, 2022
Manifold oblique random forests: Towards closing the gap on convolutional deep networks
A Li, R Perry, C Huynh, TM Tomita, R Mehta, J Arroyo, J Patsolic, B Falk, ...
SIAM Journal on Mathematics of Data Science 5 (1), 77-96, 2023
Joint spectral clustering in multilayer degree-corrected stochastic blockmodels
J Agterberg, Z Lubberts, J Arroyo
arXiv preprint arXiv:2212.05053, 2022
Maximum likelihood estimation and graph matching in errorfully observed networks
J Arroyo, DL Sussman, CE Priebe, V Lyzinski
Journal of Computational and Graphical Statistics 30 (4), 1111-1123, 2021
Effect of Mexico’s vaccination program on Covid-19 cases, hospitalizations, and deaths among older adults in Mexico City
NC Gasca, J Reyes-Garza, S Lozano-Esparza, P Orozco-del Pino, ...
salud pública de méxico 64 (4, jul-ago), 424-428, 2022
Simultaneous prediction and community detection for networks with application to neuroimaging
J Arroyo, E Levina
arXiv preprint arXiv:2002.01645, 2020
Joint embedding: A scalable alignment to compare individuals in a connectivity space. NeuroImage, 222, Article 117232
KH Nenning, T Xu, E Schwartz, J Arroyo, A Woehrer, AR Franco, ...
Graph independence testing
J Xiong, C Shen, J Arroyo, JT Vogelstein
arXiv preprint arXiv:1906.03661, 2019
Estimating information-theoretic quantities with uncertainty forests
R Guo, R Mehta, J Arroyo, H Helm, C Shen, JT Vogelstein
arXiv, arXiv: 1907.00325, 2019
Graph matching between bipartite and unipartite networks: to collapse, or not to collapse, that is the question
J Arroyo, CE Priebe, V Lyzinski
IEEE transactions on network science and engineering 8 (4), 3019-3033, 2021
Learning Joint and Individual Structure in Network Data with Covariates
C James, D Yuan, I Gaynanova, J Arroyo
arXiv preprint arXiv:2406.08776, 2024
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