Avanti Athreya

According to our database, Avanti Athreya authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Christopher M. White, Carey E. Priebe

Appl. Netw. Sci., December, 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 Lewis

J. Comput. Graph. Stat., January, 2023

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, Piali Choudhury, Weiwei Yang, Christopher W. White

Pattern Recognit., 2023

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

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, Vince Lyzinski

J. Mach. Learn. Res., 2022

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

J. Mach. Learn. Res., 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

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

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

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

2018

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

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

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

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

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017