Efficient distributed estimation of inverse covariance matrices. - Jesús Arroyo 001; Elizabeth Hou (SSP, 2016)

Overlapping community detection in networks via sparse spectral decomposition. - Jesús Arroyo 001; Elizaveta Levina (CoRR, 2020)

Joint embedding: A scalable alignment to compare individuals in a connectivity space. - Karl-Heinz Nenning; Ting Xu 001; Ernst Schwartz; Jesús Arroyo 001; Adelheid Woehrer; Alexandre R. Franco; Joshua T. Vogelstein; Daniel S. Margulies; Hesheng Liu; Jonathan Smallwood; Michael P. Milham; Georg Langs (NeuroImage, 2020)

Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks. - Jesús Arroyo 001; Daniel L. Sussman; Carey E. Priebe; Vince Lyzinski (J. Comput. Graph. Stat., 2021)

Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace. - Jesús Arroyo 001; Avanti Athreya; Joshua Cape; Guodong Chen 003; Carey E. Priebe; Joshua T. Vogelstein (J. Mach. Learn. Res., 2021)

Joint Embedding of Graphs. - Shangsi Wang; Jesús Arroyo 001; Joshua T. Vogelstein; Carey E. Priebe (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Graph Matching Between Bipartite and Unipartite Networks: To Collapse, or Not to Collapse, That Is the Question. - Jesús Arroyo 001; Carey E. Priebe; Vince Lyzinski (IEEE Trans. Netw. Sci. Eng., 2021)

The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks. - Konstantinos Pantazis; Avanti Athreya; Jesús Arroyo 001; William N. Frost; Evan S. Hill; Vince Lyzinski (J. Mach. Learn. Res., 2022)

Clustered Graph Matching for Label Recovery and Graph Classification. - Zhirui Li; Jesús Arroyo 001; Konstantinos Pantazis; Vince Lyzinski (IEEE Trans. Netw. Sci. Eng., 2023)

Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks. - Adam Li; Ronan Perry; Chester Huynh; Tyler M. Tomita; Ronak Mehta; Jesús Arroyo 001; Jesse Patsolic; Benjamin Falk; Sridevi V. Sarma; Joshua T. Vogelstein (SIAM J. Math. Data Sci., 2023)

Multiple network embedding for anomaly detection in time series of graphs. - Guodong Chen 003; Jesús Arroyo 001; Avanti Athreya; Joshua Cape; Joshua T. Vogelstein; Youngser Park; Christopher M. White; Jonathan Larson; Weiwei Yang 004; Carey E. Priebe (Comput. Stat. Data Anal., 2025)