Avanti Athreya

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All published works

Action	Title	Year	Authors
+	Random line graphs and edge-attributed network inference	2025	Zachary Lubberts Avanti Athreya Youngser Park Carey E. Priebe
+ PDF Chat	Dynamic networks clustering via mirror distance	2024	Runbing Zheng Avanti Athreya Marta Zlatic Michael S. Clayton Carey E. Priebe
+ PDF Chat	Euclidean mirrors and first-order changepoints in network time series	2024	Tianyi Chen Zachary Lubberts Avanti Athreya Youngser Park Carey E. Priebe
+	Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror	2023	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
+	Distance-based positive and unlabeled learning for ranking	2022	Hayden S. Helm Amitabh Basu Avanti Athreya Youngser Park Joshua T Vogelstein Carey E. Priebe Michael Winding Marta Zlatic Albert Cardona Patrick Bourke
+	Numerical Tolerance for Spectral Decompositions of Random Matrices and Applications to Network Inference	2022	Avanti Athreya Zachary Lubberts Carey E. Priebe Youngser Park Minh Tang Vince Lyzinski Michael J. Kane Bryan W. Lewis
+ PDF Chat	On Spectral Algorithms for Community Detection in Stochastic Blockmodel Graphs With Vertex Covariates	2022	Cong Mu Angelo Mele Lingxin Hao Joshua Cape Avanti Athreya Carey E. Priebe
+	Euclidean mirrors and dynamics in network time series	2022	Avanti Athreya Zachary Lubberts Youngser Park Carey E. Priebe
+ PDF Chat	Eigenvalues of Stochastic Blockmodel Graphs and Random Graphs with Low-Rank Edge Probability Matrices	2021	Avanti Athreya Joshua Cape Minh Tang
+	Beyond the adjacency matrix: random line graphs and inference for networks with edge attributes	2021	Zachary Lubberts Avanti Athreya Youngser Park Carey E. Priebe
+	On Phantom Alignment Strength	2021	Donniell E. Fishkind Felix Parker Hamilton Sawczuk Lingyao Meng Eric Bridgeford Avanti Athreya Carey E. Priebe Vince Lyzinski
+ PDF Chat	On a complete and sufficient statistic for the correlated Bernoulli random graph model	2021	Donniell E. Fishkind Avanti Athreya Lingyao Meng Vince Lyzinski Carey E. Priebe
+	The Phantom Alignment Strength Conjecture: Practical use of graph matching alignment strength to indicate a meaningful graph match	2021	Donniell E. Fishkind Felix Parker Hamilton Sawczuk Lingyao Meng Eric Bridgeford Avanti Athreya Carey E. Priebe Vince Lyzinski
+	Beyond the adjacency matrix: random line graphs and inference for networks with edge attributes	2021	Zachary Lubberts Avanti Athreya Youngser Park Carey E. Priebe
+ PDF Chat	On Estimation and Inference in Latent Structure Random Graphs	2020	Avanti Athreya Minh Tang Youngser Park Carey E. Priebe
+	On identifying unobserved heterogeneity in stochastic blockmodel graphs with vertex covariates.	2020	Cong Mu Angelo Mele Lingxin Hao Joshua Cape Avanti Athreya Carey E. Priebe
+	Learning to rank via combining representations.	2020	Hayden S. Helm Amitabh Basu Avanti Athreya Youngser Park Joshua T Vogelstein Michael Winding Marta Zlatic Albert Cardona Patrick Bourke Jonathan Larson
+	The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks	2020	Konstantinos Pantazis Avanti Athreya Jesús Arroyo William N. Frost Evan S. Hill Vince Lyzinski
+	Multiple Network Embedding for Anomaly Detection in Time Series of Graphs	2020	Guodong Chen Jesús Arroyo Avanti Athreya Joshua Cape Joshua T Vogelstein Youngser Park Chris White Jonathan Larson Weiwei Yang Carey E. Priebe
+	On a complete and sufficient statistic for the correlated Bernoulli random graph model	2020	Donniell E. Fishkind Avanti Athreya Lingyao Meng Vince Lyzinski Carey E. Priebe
+	Distance-based Positive and Unlabeled Learning for Ranking	2020	Hayden S. Helm Amitabh Basu Avanti Athreya Youngser Park Joshua T. Vogelstein Carey E. Priebe Michael Winding Marta Zlatic Albert Cardona Patrick D. Bourke
+	On spectral algorithms for community detection in stochastic blockmodel graphs with vertex covariates	2020	Cong Mu Angelo Mele Lingxin Hao Joshua Cape Avanti Athreya Carey E. Priebe
+ PDF Chat	On a two-truths phenomenon in spectral graph clustering	2019	Carey E. Priebe Youngser Park Joshua T Vogelstein John M. Conroy Vince Lyzinski Minh Tang Avanti Athreya Joshua Cape Eric Bridgeford
+	Inference for multiple heterogeneous networks with a common invariant subspace	2019	Jesús Arroyo Avanti Athreya Joshua Cape Guodong Chen Carey E. Priebe Joshua T Vogelstein
+	On estimation and inference in latent structure random graphs	2018	Avanti Athreya Minh Tang Youngser Park Carey E. Priebe
+	On estimation and inference in latent structure random graphs	2018	Avanti Athreya Minh Tang Youngser Park Carey E. Priebe
+	A Central Limit Theorem for an Omnibus Embedding of Multiple Random Dot Product Graphs	2017	Keith Levin Avanti Athreya Minh Tang Vince Lyzinski Carey E. Priebe
+	A central limit theorem for an omnibus embedding of random dot product graphs	2017	Keith Levin Avanti Athreya Minh Tang Vince Lyzinski Carey E. Priebe
+	Semiparametric spectral modeling of the Drosophila connectome	2017	Carey E. Priebe Youngser Park Minh Tang Avanti Athreya Vince Lyzinski Joshua T Vogelstein Yichen Qin Ben Cocanougher Katharina Eichler Marta Zlatic
+	A nonparametric two-sample hypothesis testing problem for random graphs	2017	Minh Tang Avanti Athreya Daniel L. Sussman Vince Lyzinski Carey E. Priebe
+	Statistical inference on random dot product graphs: a survey	2017	Avanti Athreya Donniell E. Fishkind Keith Levin Vince Lyzinski Youngser Park Yichen Qin Daniel L. Sussman Minh Tang Joshua T Vogelstein Carey E. Priebe
+	A central limit theorem for an omnibus embedding of multiple random graphs and implications for multiscale network inference	2017	Keith Levin Avanti Athreya Minh Tang Vince Lyzinski Youngser Park Carey E. Priebe
+	Semiparametric spectral modeling of the Drosophila connectome	2017	Carey E. Priebe Youngser Park Minh Tang Avanti Athreya Vince Lyzinski Joshua T. Vogelstein Yichen Qin Ben Cocanougher Katharina Eichler Marta Zlatic
+ PDF Chat	Community Detection and Classification in Hierarchical Stochastic Blockmodels	2016	Vince Lyzinski Minh Tang Avanti Athreya Youngser Park Carey E. Priebe
+	Numerical tolerance for spectral decompositions of random dot product graphs	2016	Avanti Athreya Minh Tang Vince Lyzinski Youngser Park Bryan W. Lewis Michael J. Kane Carey E. Priebe
+	Numerical tolerance for spectral decompositions of random matrices	2016	Avanti Athreya Michael J. Kane Bryan W. Lewis Zachary Lubberts Vince Lyzinski Youngser Park Carey E. Priebe Minh Tang
+	Community Detection and Classification in Hierarchical Stochastic Blockmodels	2015	Vince Lyzinski Minh Tang Avanti Athreya Youngser Park Carey E. Priebe
+	Two-sample Hypothesis Testing for Random Dot Product Graphs via Adjacency Spectral Embedding	2014	Minh Tang Avanti Athreya Daniel L. Sussman Vince Lyzinski Carey E. Priebe
+	A nonparametric two-sample hypothesis testing problem for random dot product graphs	2014	Minh Tang Avanti Athreya Daniel L. Sussman Vince Lyzinski Carey E. Priebe
+ PDF Chat	Perfect clustering for stochastic blockmodel graphs via adjacency spectral embedding	2014	Vince Lyzinski Daniel L. Sussman Minh Tang Avanti Athreya Carey E. Priebe
+	A semiparametric two-sample hypothesis testing problem for random dot product graphs	2014	Minh Tang Avanti Athreya Daniel L. Sussman Vince Lyzinski Carey E. Priebe
+	Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency Spectral Embedding	2013	Vince Lyzinski Daniel L. Sussman Minh Tang Avanti Athreya Carey E. Priebe
+	A limit theorem for scaled eigenvectors of random dot product graphs	2013	Avanti Athreya Vince Lyzinski David J. Marchette Carey E. Priebe Daniel L. Sussman Minh Tang
+	A central limit theorem for scaled eigenvectors of random dot product graphs	2013	Avanti Athreya Vince Lyzinski David J. Marchette Carey E. Priebe Daniel L. Sussman Minh Tang
+	Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency Spectral Embedding	2013	Vince Lyzinski Daniel Sussman Minh Tang Avanti Athreya Carey E. Priebe
+ PDF Chat	Asymptotic analysis of microtubule-based transport by multiple identical molecular motors	2012	Scott A. McKinley Avanti Athreya John Fricks Peter R. Kramer
+ PDF Chat	Propagating Lyapunov functions to prove noise-induced stabilization	2012	Avanti Athreya Tiffany N. Kolba Jonathan C. Mattingly
+	Propagating Lyapunov Functions to Prove Noise--induced Stabilization	2011	Avanti Athreya Tiffany N. Kolba Jonathan C. Mattingly
+	Asymptotic Analysis of Microtubule-Based Transport by Multiple Identical Molecular Motors	2011	Scott A. McKinley Avanti Athreya John Fricks Peter R. Kramer
+	Propagating Lyapunov Functions to Prove Noise--induced Stabilization	2011	Avanti Athreya Tiffany N. Kolba Jonathan C. Mattingly
+	Asymptotic Analysis of Microtubule-Based Transport by Multiple Identical Molecular Motors	2011	Scott A. McKinley Avanti Athreya John Fricks Peter R. Kramer
+	METASTABILITY FOR RANDOM PERTURBATIONS OF NEARLY-HAMILTONIAN SYSTEMS	2008	Avanti Athreya Mark Freidlin

Common Coauthors

Coauthor	Papers Together
Carey E. Priebe	43
Vince Lyzinski	26
Minh Tang	25
Youngser Park	23
Daniel L. Sussman	9
Zachary Lubberts	8
Joshua T Vogelstein	7
Joshua Cape	7
Marta Zlatic	6
Albert Cardona	5
Donniell E. Fishkind	5
Jonathan Larson	4
Keith Levin	4
Jonathan C. Mattingly	3
John Fricks	3
Peter R. Kramer	3
Michael Winding	3
Amitabh Basu	3
Tiffany N. Kolba	3
Jesús Arroyo	3
Bryan W. Lewis	3
Scott A. McKinley	3
Angelo Mele	3
Joshua T. Vogelstein	3
Lingxin Hao	3
Michael J. Kane	3
Eric Bridgeford	3
Hayden S. Helm	3
David J. Marchette	2
Ben Cocanougher	2
Patrick Bourke	2
Lingyao Meng	2
Marah Abdin	2
Christopher M. White	2
Yichen Qin	2
Christopher W. White	2
Piali Choudhury	2
Guodong Chen	2
Lingyao Meng	2
Cong Mu	2
Felix Parker	2
Katharina Eichler	2
Hamilton Sawczuk	2
William N. Frost	1
Mark Freidlin	1
Michael S. Clayton	1
Runbing Zheng	1
Alysson R. Muotri	1
Tianyi Chen	1
Francesca Puppo	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	A Consistent Adjacency Spectral Embedding for Stochastic Blockmodel Graphs	2012	Daniel L. Sussman Minh Tang Donniell E. Fishkind Carey E. Priebe	22
+ PDF Chat	Perfect clustering for stochastic blockmodel graphs via adjacency spectral embedding	2014	Vince Lyzinski Daniel L. Sussman Minh Tang Avanti Athreya Carey E. Priebe	16
+ PDF Chat	Stochastic blockmodels and community structure in networks	2011	Brian Karrer M. E. J. Newman	14
+	A Limit Theorem for Scaled Eigenvectors of Random Dot Product Graphs	2015	A. Manoj Athreya Carey E. Priebe Minh Tang Vince Lyzinski David J. Marchette Daniel L. Sussman	13
+	Spectral clustering and the high-dimensional stochastic blockmodel	2011	Karl Rohe Sourav Chatterjee Bin Yu	12
+	A nonparametric two-sample hypothesis testing problem for random dot product graphs	2014	Minh Tang Avanti Athreya Daniel L. Sussman Vince Lyzinski Carey E. Priebe	10
+ PDF Chat	Spectra of Edge-Independent Random Graphs	2013	Linyuan Lü Xing Peng	10
+	Concentration of the adjacency matrix and of the Laplacian in random graphs with independent edges	2009	Roberto I. Oliveira	9
+ PDF Chat	Community Detection and Classification in Hierarchical Stochastic Blockmodels	2016	Vince Lyzinski Minh Tang Avanti Athreya Youngser Park Carey E. Priebe	8
+ PDF Chat	On a two-truths phenomenon in spectral graph clustering	2019	Carey E. Priebe Youngser Park Joshua T Vogelstein John M. Conroy Vince Lyzinski Minh Tang Avanti Athreya Joshua Cape Eric Bridgeford	7
+	Matrix estimation by Universal Singular Value Thresholding	2014	Sourav Chatterjee	6
+ PDF Chat	A tutorial on spectral clustering	2007	Ulrike von Luxburg	6
+	Graph limits and exchangeable random graphs	2007	Persi Diaconis Svante Janson	6
+ PDF Chat	Stochastic blockmodels with a growing number of classes	2012	D-S Choi Patrick J. Wolfe Edoardo M. Airoldi	6
+ PDF Chat	Algebraic connectivity of graphs	1973	Miroslav Fiedler	5
+ PDF Chat	A Survey of Statistical Network Models	2009	Anna Goldenberg	5
+ PDF Chat	On spectral embedding performance and elucidating network structure in stochastic blockmodel graphs	2019	Joshua Cape Minh Tang Carey E. Priebe	5
+ PDF Chat	A useful variant of the Davis–Kahan theorem for statisticians	2015	Yi Yu Tengyao Wang Richard J. Samworth	5
+ PDF Chat	Limit theorems for eigenvectors of the normalized Laplacian for random graphs	2018	Minh Tang Carey E. Priebe	5
+	The eigenvalues of random symmetric matrices	1981	Zoltán Füredi János Komlós	5
+ PDF Chat	Joint Embedding of Graphs	2019	Shangsi Wang Jesús Arroyo Joshua T Vogelstein Carey E. Priebe	4
+	A nonparametric two-sample hypothesis testing problem for random graphs	2017	Minh Tang Avanti Athreya Daniel L. Sussman Vince Lyzinski Carey E. Priebe	4
+	A Measure of Asymptotic Efficiency for Tests of a Hypothesis Based on the sum of Observations	1952	Herman Chernoff	4
+ PDF Chat	Covariate-assisted spectral clustering	2017	Norbert Binkiewicz Joshua T Vogelstein Karl Rohe	4
+	Modularity and community structure in networks	2006	M. E. J. Newman	4
+ PDF Chat	RANDOM MATRICES: UNIVERSAL PROPERTIES OF EIGENVECTORS	2011	Terence Tao Van Vu	4
+	Locality Statistics for Anomaly Detection in Time Series of Graphs	2014	Heng Wang Minh Tang Youngser Park Carey E. Priebe	4
+	Universally consistent vertex classification for latent positions graphs	2013	Minh Tang Daniel L. Sussman Carey E. Priebe	4
+	The Rotation of Eigenvectors by a Perturbation. III	1970	Chandler Davis W. Kahan	4
+	The Geometry of Continuous Latent Space Models for Network Data	2019	Anna L. Smith Dena Marie Asta Catherine A. Calder	4
+	Vertex nomination schemes for membership prediction	2015	Donniell E. Fishkind Vince Lyzinski Hsing-Kuo Pao Lidian Chen Carey E. Priebe	4
+ PDF Chat	Community detection in graphs	2009	Santo Fortunato	4
+ PDF Chat	Consistent Adjacency-Spectral Partitioning for the Stochastic Block Model When the Model Parameters Are Unknown	2013	Donniell E. Fishkind Daniel L. Sussman Minh Tang Joshua T Vogelstein Carey E. Priebe	4
+ PDF Chat	A Statistical Interpretation of Spectral Embedding: The Generalised Random Dot Product Graph	2022	Patrick Rubin‐Delanchy Joshua Cape Minh Tang Carey E. Priebe	3
+ PDF Chat	Tensor SVD: Statistical and Computational Limits	2018	Anru R. Zhang Dong Xia	3
+	A central limit theorem for an omnibus embedding of multiple random graphs and implications for multiscale network inference	2017	Keith Levin Avanti Athreya Minh Tang Vince Lyzinski Youngser Park Carey E. Priebe	3
+	Methods of conjugate gradients for solving linear systems	1952	Magnus R. Hestenes Eduard Stiefel	3
+ PDF Chat	The ground truth about metadata and community detection in networks	2017	Leto Peel Daniel B. Larremore Aaron Clauset	3
+ PDF Chat	Structural Properties of the Caenorhabditis elegans Neuronal Network	2011	Lav R. Varshney Beth L. Chen Eric Paniagua David H. Hall Dmitri B. Chklovskii	3
+	A kernel two-sample test	2012	Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alexander J. Smola	3
+ PDF Chat	Community Detection and Stochastic Block Models	2018	Emmanuel Abbé	3
+ PDF Chat	Spectral clustering for divide-and-conquer graph matching	2015	Vince Lyzinski Daniel L. Sussman Donniell E. Fishkind Henry Pao Li Chen Joshua T Vogelstein Youngser Park Carey E. Priebe	3
+ PDF Chat	On the Compatibility of a Given Solution With the Data of a Linear System	1967	J. L. Rigal J. Gaches	3
+	A Course in Probability Theory	1974	Kai Lai Chung	3
+ PDF Chat	Reducing multidimensional two-sample data to one-dimensional interpoint comparisons	1996	Jen‐Fue Maa Dennis K. Pearl Robert Bartôszyński	3
+	Solving Sparse Linear Systems with Sparse Backward Error	1989	M. Arioli James Demmel Iain Duff	3
+	None	2007	Béla Bollobás Svante Janson Oliver Riordan	3
+ PDF Chat	A Path Following Algorithm for the Graph Matching Problem	2008	Mikhail Zaslavskiy Francis Bach Jean‐Philippe Vert	3
+	Spectral partitioning of random graphs	2001	Frank McSherry	3
+	Stopping Criteria for Iterative Solvers	1992	Mario Arioli Iain Duff Daniel Ruiz	3