A Central Limit Theorem for an Omnibus Embedding of Multiple Random Dot Product Graphs. - Keith D. Levin; Avanti Athreya; Minh Tang; Vince Lyzinski; Carey E. Priebe (ICDM Workshops, 2017)

Statistical Inference on Random Dot Product Graphs: a Survey. - Avanti Athreya; Donniell E. Fishkind; Minh Tang; Carey E. Priebe; Youngser Park; Joshua T. Vogelstein; Keith D. Levin; Vince Lyzinski; Yichen Qin; Daniel L. Sussman (J. Mach. Learn. Res., 2017)

Community Detection and Classification in Hierarchical Stochastic Blockmodels. - Vince Lyzinski; Minh Tang; Avanti Athreya; Youngser Park; Carey E. Priebe (IEEE Trans. Netw. Sci. Eng., 2017)

On a 'Two Truths' Phenomenon in Spectral Graph Clustering. - Carey E. Priebe; Youngser Park; Joshua T. Vogelstein; John M. Conroy; Vince Lyzinski; Minh Tang; Avanti Athreya; Joshua Cape; Eric Bridgeford (CoRR, 2018)

Learning to rank via combining representations. - Hayden S. Helm; Amitabh Basu; Avanti Athreya; Youngser Park; Joshua T. Vogelstein; Michael Winding; Marta Zlatic; Albert Cardona; Patrick Bourke; Jonathan Larson; Christopher M. White; Carey E. Priebe (CoRR, 2020)

On identifying unobserved heterogeneity in stochastic blockmodel graphs with vertex covariates. - Cong Mu; Angelo Mele; Lingxin Hao; Joshua Cape; Avanti Athreya; Carey E. Priebe (CoRR, 2020)

The phantom alignment strength conjecture: practical use of graph matching alignment strength to indicate a meaningful graph match. - Donniell E. Fishkind; Felix Parker; Hamilton Sawczuk; Lingyao Meng; Eric Bridgeford; Avanti Athreya; Carey E. Priebe; Vince Lyzinski (Appl. Netw. Sci., 2021)

Beyond the adjacency matrix: random line graphs and inference for networks with edge attributes. - Zachary Lubberts; Avanti Athreya; Youngser Park; Carey E. Priebe (CoRR, 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)

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)

On Spectral Algorithms for Community Detection in Stochastic Blockmodel Graphs With Vertex Covariates. - Cong Mu; Angelo Mele; Lingxin Hao; Joshua Cape; Avanti Athreya; Carey E. Priebe (IEEE Trans. Netw. Sci. Eng., 2022)

Distance-based positive and unlabeled learning for ranking. - Hayden S. Helm; Amitabh Basu; Avanti Athreya; Youngser Park; Joshua T. Vogelstein; Carey E. Priebe; Michael Winding; Marta Zlatic; Albert Cardona; Patrick Bourke; Jonathan Larson; Marah Ihab Abdin; et al. (Pattern Recognit., 2023)

Numerical Tolerance for Spectral Decompositions of Random Matrices and Applications to Network Inference. - Avanti Athreya; Zachary Lubberts; Carey E. Priebe; Youngser Park; Minh Tang; Vince Lyzinski; Michael J. Kane; Bryan W. Lewis (J. Comput. Graph. Stat., 2023)

Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror. - Tianyi Chen; Youngser Park; Ali Saad-Eldin; Zachary Lubberts; Avanti Athreya; Benjamin D. Pedigo; Joshua T. Vogelstein; Francesca Puppo; Gabriel A. Silva; Alysson R. Muotri; Weiwei Yang 004; Christopher M. White; et al. (Appl. Netw. 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)

Gaussian mixture models as a proxy for interacting language models. - Edward L. Wang; Tianyu Wang; Avanti Athreya; Vince Lyzinski; Carey E. Priebe (CoRR, 2025)