Avanti Athreya

17 papers Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Gaussian mixture models as a proxy for interacting language models.
CoRR
Edward L. Wang, Tianyu Wang, Avanti Athreya, Vince Lyzinski, Carey E. Priebe
2025 J jnl
Multiple network embedding for anomaly detection in time series of graphs.
Comput. Stat. Data Anal.
Guodong Chen, Jesús Arroyo, Avanti Athreya, Joshua Cape, Joshua T. Vogelstein, Youngser Park, Christopher M. White, Jonathan Larson, Weiwei Yang, Carey E. Priebe
2023 J jnl
Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror.
Appl. Netw. Sci.
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, Christopher M. White, Carey E. Priebe
2023 J jnl
Distance-based positive and unlabeled learning for ranking.
Pattern Recognit.
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, Piali Choudhury, Weiwei Yang, Christopher M. White
2023 J jnl
Numerical Tolerance for Spectral Decompositions of Random Matrices and Applications to Network Inference.
J. Comput. Graph. Stat.
Avanti Athreya, Zachary Lubberts, Carey E. Priebe, Youngser Park, Minh Tang, Vince Lyzinski, Michael J. Kane, Bryan W. Lewis
2022 J jnl
On Spectral Algorithms for Community Detection in Stochastic Blockmodel Graphs With Vertex Covariates.
IEEE Trans. Netw. Sci. Eng.
Cong Mu, Angelo Mele, Lingxin Hao, Joshua Cape, Avanti Athreya, Carey E. Priebe
2022 J jnl
The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks.
J. Mach. Learn. Res.
Konstantinos Pantazis, Avanti Athreya, Jesús Arroyo, William N. Frost, Evan S. Hill, Vince Lyzinski
2021 J jnl
Beyond the adjacency matrix: random line graphs and inference for networks with edge attributes.
CoRR
Zachary Lubberts, Avanti Athreya, Youngser Park, Carey E. Priebe
2021 J jnl
Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace.
J. Mach. Learn. Res.
Jesús Arroyo, Avanti Athreya, Joshua Cape, Guodong Chen, Carey E. Priebe, Joshua T. Vogelstein
2021 J jnl
The phantom alignment strength conjecture: practical use of graph matching alignment strength to indicate a meaningful graph match.
Appl. Netw. Sci.
Donniell E. Fishkind, Felix Parker, Hamilton Sawczuk, Lingyao Meng, Eric Bridgeford, Avanti Athreya, Carey E. Priebe, Vince Lyzinski
2020 J jnl
Learning to rank via combining representations.
CoRR
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
2020 J jnl
On identifying unobserved heterogeneity in stochastic blockmodel graphs with vertex covariates.
CoRR
Cong Mu, Angelo Mele, Lingxin Hao, Joshua Cape, Avanti Athreya, Carey E. Priebe
2019 J jnl
Inference for multiple heterogeneous networks with a common invariant subspace.
CoRR
Jesús Arroyo, Avanti Athreya, Joshua Cape, Guodong Chen, Carey E. Priebe, Joshua T. Vogelstein
2018 J jnl
On a 'Two Truths' Phenomenon in Spectral Graph Clustering.
CoRR
Carey E. Priebe, Youngser Park, Joshua T. Vogelstein, John M. Conroy, Vince Lyzinski, Minh Tang, Avanti Athreya, Joshua Cape, Eric Bridgeford
2017 — conf
A Central Limit Theorem for an Omnibus Embedding of Multiple Random Dot Product Graphs.
ICDM Workshops
Keith D. Levin, Avanti Athreya, Minh Tang, Vince Lyzinski, Carey E. Priebe
2017 J jnl
Community Detection and Classification in Hierarchical Stochastic Blockmodels.
IEEE Trans. Netw. Sci. Eng.
Vince Lyzinski, Minh Tang, Avanti Athreya, Youngser Park, Carey E. Priebe
2017 J jnl
Statistical Inference on Random Dot Product Graphs: a Survey.
J. Mach. Learn. Res.
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