Selected publications and pre-prints

For a full list of articles, please check my Google Scholar.

Refereed publications

  • Overlapping community detection in networks via sparse spectral decomposition
    Jesús Arroyo, Elizaveta Levina
    Sankhya A (Special Issue on Network Analysis) (2021).

  • Graph matching between bipartite and unipartite networks: to collapse, or not to collapse, that is the question
    Jesús Arroyo, Carey E. Priebe, Vince Lyzinski
    IEEE Transactions in Network Science and Engineering (2021), accepted.
    [early access][preprint][code]

  • Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks
    Jesús Arroyo, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski
    Journal of Computational and Graphical Statistics (2021).
    [journal][preprint] [code]

  • Statistical Connectomics
    Jaewon Chung, Eric Bridgeford, Jesús Arroyo, Benjamin D. Pedigo, Ali Saad-Eldin, Vivek Gopalakrishnan, Liang Xiang, Carey E. Priebe, Joshua T. Vogelstein
    Annual Review of Statistics and Its Application (2021)

  • Inference for multiple heterogeneous networks with a common invariant subspace
    Jesús Arroyo, Avanti Athreya, Joshua Cape, Guodong Chen, Carey E. Priebe, Joshua T. Vogelstein
    Journal of Machine Learning Research (2020), to appear.
    [preprint][R code][Python code]

  • Joint embedding of graphs
    Shangsi Wang, Jesús Arroyo, Joshua T. Vogelstein, Carey E. Priebe
    IEEE Transactions on Pattern Analysis and Machine Intelligence (2019), in press.

  • Network classification with applications to brain connectomics
    Jesús D. Arroyo Relión, Daniel Kessler, Elizaveta Levina, Stephan F. Taylor
    The Annals of Applied Statistics (2019), 13(3), 1648-1677.

  • Efficient distributed estimation of inverse covariance matrices
    Jesús Arroyo, Elizabeth Hou
    IEEE Statistical Signal Processing Workshop (SSP) (2016), pages 1-5.
    [conference proceedings]


  • The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks
    Konstantinos Pantazis, Avanti Athreya, Jesús Arroyo, William N. Frost, Evan S. Hill and Vince Lyzinski

  • Multiple Network Embedding for Anomaly Detection in Time Series of Graphs
    Guodong Chen, Jesús Arroyo, Avanti Athreya, Joshua Cape, Joshua T. Vogelstein, Youngser Park, Chris White, Jonathan Larson, Weiwei Yang, Carey E. Priebe

  • Simultaneous prediction and community detection for networks with application to neuroimaging
    Jesús Arroyo, Elizaveta Levina


I collaborate with Mexicanos en Estadística y Salud on science communication. Here is an interview to the team, and some of our recent articles:

  • Descifrar el Modelo Centinela
    Ernesto Ulloa, Jesús Arroyo, Natalie Gasca, Susana Lozano-Esparza, Antonio Olivas, Pedro Orozco-del-Pino
    Taller de Datos de la Revista Nexos, 2020.