Temporal pattern recognition. - Chen-Han Sung; Carey E. Priebe (ICNN, 1988)

Adaptive mixtures: Recursive nonparametric pattern recognition. - Carey E. Priebe; David J. Marchette (Pattern Recognit., 1991)

An initial assessment of discriminant surface complexity for power law features. - Jeffrey L. Solka; Carey E. Priebe; George W. Rogers (Simul., 1992)

Adaptive mixture density estimation. - Carey E. Priebe; David J. Marchette (Pattern Recognit., 1993)

A self-organizing network for computing a posteriori conditional class probability. - George W. Rogers; Jeffrey L. Solka; D. Stephen Malyevac; Carey E. Priebe (IEEE Trans. Syst. Man Cybern., 1993)

The detection of micro-calcifications in mammographic images using high dimensional features. - Jeffrey L. Solka; Wendy L. Poston; Carey E. Priebe; George W. Rogers; Richard A. Lorey; David J. Marchette; Kevin S. Woods; Kevin W. Bowyer (CBMS, 1994)

A qualitative analysis of the resistive grid kernel estimator. - Wendy L. Poston; George W. Rogers; Carey E. Priebe; Jeffrey L. Solka (Pattern Recognit. Lett., 1994)

Mammographic Computer-Assisted Diagnosis using Computational Statistics Pattern Recognition. - Richard A. Lorey; Jeffrey L. Solka; George W. Rogers; David J. Marchette; Carey E. Priebe (Real Time Imaging, 1995)

A PDP Approach to Localized Fractal Dimension Computation with Segmentation Boundaries. - George W. Rogers; Jeffrey L. Solka; Carey E. Priebe (Simul., 1995)

Segmentation of Random Fields Via Borrowed Strength Density Estimation. - Carey E. Priebe; David J. Marchette; George W. Rogers (IEEE Trans. Pattern Anal. Mach. Intell., 1997)

An analysis of local feature extraction in digital mammography. - David J. Marchette; Richard A. Lorey; Carey E. Priebe (Pattern Recognit., 1997)

Detection of Microcalcification Clusters in Digital Mammography Via the Spatial Scan Statistic with Stochastic Scan Partitions. - Carey E. Priebe (Digital Mammography / IWDM, 1998)

Mixture structure analysis using the Akaike Information Criterion and the bootstrap. - Jeffrey L. Solka; Edward J. Wegman; Carey E. Priebe; Wendy L. Poston; George W. Rogers (Stat. Comput., 1998)

Exact mean and mean squared error of the smoothed bootstrap mean integrated squared error estimator. - Dominic Lee; Carey E. Priebe (Comput. Stat., 2000)

Olfactory Classification via Interpoint Distance Analysis. - Carey E. Priebe (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

Spatial Scan Density Estimates. - Carey E. Priebe; Dalei Chen (Technometrics, 2001)

A Visualization Framework for the Analysis of Hyperdimensional Data. - Jeffrey L. Solka; Carey E. Priebe; Barton T. Clark (Int. J. Image Graph., 2002)

A Proof of the Spherical Homeomorphism Conjecture for Surfaces. - Lowell Abrams; Donniell E. Fishkind; Carey E. Priebe (IEEE Trans. Medical Imaging, 2002)

Semi-automated segmentation of cortical subvolumes via hierarchical mixture modeling. - J. Tilak Ratnanather; Carey E. Priebe; Michael I. Miller (Image Processing, 2003)

Classification Using Class Cover Catch Digraphs. - Carey E. Priebe; David J. Marchette; Jason DeVinney; Diego A. Socolinsky (J. Classif., 2003)

Class cover catch digraphs for latent class discovery in gene expression monitoring by DNA microarrays. - Carey E. Priebe; Jeffrey L. Solka; David J. Marchette; B. Ted Clark (Comput. Stat. Data Anal., 2003)

A likelihood-MPEC approach to target classification. - Timothy E. Olson; Jong-Shi Pang; Carey E. Priebe (Math. Program., 2003)

Characterizing the scale dimension of a high-dimensional classification problem. - David J. Marchette; Carey E. Priebe (Pattern Recognit., 2003)

Integrated Sensing and Processing Decision Trees. - Carey E. Priebe; David J. Marchette; Dennis M. Healy Jr. (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

The generalized spherical homeomorphism theorem for digital images. - Lowell Abrams; Donniell E. Fishkind; Carey E. Priebe (IEEE Trans. Medical Imaging, 2004)

Biomedical Informatics Research Network: Integrating Multi-Site Neuroimaging Data Acquisition, Data Sharing and Brain Morphometric Processing. - Jorge Jovicich; Mirza Faisal Beg; Steve Pieper 001; Carey E. Priebe; Michael I. Miller; Randy L. Buckner; Bruce R. Rosen (CBMS, 2005)

Unsupervised classification via decision trees: an information-theoretic perspective. - Damianos G. Karakos; Sanjeev Khudanpur; Jason Eisner; Carey E. Priebe (ICASSP (5), 2005)

A Hierarchical Methodology for Class Detection Problems with Skewed Priors. - Christopher K. Eveland; Diego A. Socolinsky; Carey E. Priebe; David J. Marchette (J. Classif., 2005)

Scan Statistics on Enron Graphs. - Carey E. Priebe; John M. Conroy; David J. Marchette; Youngser Park (Comput. Math. Organ. Theory, 2005)

Relative density of the random r. - Elvan Ceyhan; Carey E. Priebe; John C. Wierman (Comput. Stat. Data Anal., 2006)

Segmenting magnetic resonance images via hierarchical mixture modelling. - Carey E. Priebe; Michael I. Miller; J. Tilak Ratnanather (Comput. Stat. Data Anal., 2006)

A new family of proximity graphs: Class cover catch digraphs. - Jason DeVinney; Carey E. Priebe (Discret. Appl. Math., 2006)

On the distribution of the domination number of a new family of parametrized random digraphs. - Elvan Ceyhan; Carey E. Priebe (Model. Assist. Stat. Appl., 2006)

Validation of Alternating Kernel Mixture Method Based Segmentation of the Human Brain. - Nayoung A. Lee; Carey E. Priebe; J. Tilak Ratnanather; Michael I. Miller (FBIT, 2007)

Hippocampus Shape-Space Analysis of Clinically Depressed, High Risk, and Control Populations. - Youngser Park; Carey E. Priebe; Kelly N. Botteron; Michael I. Miller; Nikhil R. Mohan (FBIT, 2007)

Iterative Denoising using Jensen-Renyi Divergences with an Application to Unsupervised Document Categorization. - Damianos G. Karakos; Sanjeev Khudanpur; Jason Eisner; Carey E. Priebe (ICASSP (2), 2007)

Cross-Instance Tuning of Unsupervised Document Clustering Algorithms. - Damianos G. Karakos; Jason Eisner; Sanjeev Khudanpur; Carey E. Priebe (HLT-NAACL, 2007)

A data-adaptive methodology for finding an optimal weighted generalized Mann-Whitney-Wilcoxon statistic. - Majnu John; Carey E. Priebe (Comput. Stat. Data Anal., 2007)

Disambiguation Protocols Based on Risk Simulation. - Donniell E. Fishkind; Carey E. Priebe; Kendall E. Giles; L. N. Smith; Vural Aksakalli (IEEE Trans. Syst. Man Cybern. Part A, 2007)

Computation of Csiszár's mutual Information of order α. - Damianos G. Karakos; Sanjeev Khudanpur; Carey E. Priebe (ISIT, 2008)

Predicting unobserved links in incompletely observed networks. - David J. Marchette; Carey E. Priebe (Comput. Stat. Data Anal., 2008)

The out-of-sample problem for classical multidimensional scaling. - Michael W. Trosset; Carey E. Priebe (Comput. Stat. Data Anal., 2008)

Semisupervised learning from dissimilarity data. - Michael W. Trosset; Carey E. Priebe; Youngser Park; Michael I. Miller (Comput. Stat. Data Anal., 2008)

Iterative Denoising. - Kendall E. Giles; Michael W. Trosset; David J. Marchette; Carey E. Priebe (Comput. Stat., 2008)

On the anomalous behaviour of a class of locality statistics. - Carey E. Priebe; Walter D. Wallis (Discret. Math., 2008)

Statistical Analysis of Hippocampus Shape Using a Modified Mann-Whitney-Wilcoxon Test. - Nikhil R. Mohan; Carey E. Priebe; Youngser Park; Majnu John (FGIT-BSBT, 2009)

On the monotone likelihood ratio property for the convolution of independent binomial random variables. - Andrey Rukhin; Carey E. Priebe; Dennis M. Healy Jr. (Discret. Appl. Math., 2009)

Random attributed graphs for statistical inference from content and context. - Allen L. Gorin; Carey E. Priebe; John Grothendieck (ICASSP, 2010)

Dimensionality Reduction on the Cartesian Product of Embeddings of Multiple Dissimilarity Matrices. - Zhiliang Ma; Adam Cardinal-Stakenas; Youngser Park; Michael W. Trosset; Carey E. Priebe (J. Classif., 2010)

Statistical inference on attributed random graphs: Fusion of graph features and content. - John Grothendieck; Carey E. Priebe; Allen L. Gorin (Comput. Stat. Data Anal., 2010)

Statistical inference on attributed random graphs: Fusion of graph features and content: An experiment on time series of Enron graphs. - Carey E. Priebe; Youngser Park; David J. Marchette; John M. Conroy; John Grothendieck; Allen L. Gorin (Comput. Stat. Data Anal., 2010)

A Graph-Search Based Navigation Algorithm for Traversing A Potentially Hazardous Area with Disambiguation. - Xugang Ye; Carey E. Priebe (Int. J. Oper. Res. Inf. Syst., 2010)

Efficient, optimal stochastic-action selection when limited by an action budget. - John Blatz; Donniell E. Fishkind; Carey E. Priebe (Math. Methods Oper. Res., 2010)

Anomaly detection for random graphs using distributions of vertex invariants. - Nash M. Borges; Glen A. Coppersmith; Gerard G. L. Meyer; Carey E. Priebe (CISS, 2011)

Fast Inexact Graph Matching with Applications in Statistical Connectomics - Joshua T. Vogelstein; John M. Conroy; Louis J. Podrazik; Steven G. Kratzer; Donniell E. Fishkind; R. Jacob Vogelstein; Carey E. Priebe (CoRR, 2011)

Sensor information monotonicity in disambiguation protocols. - Xugang Ye; Donniell E. Fishkind; Lowell Abrams; Carey E. Priebe (J. Oper. Res. Soc., 2011)

The Effect of Model Misspecification on Semi-Supervised Classification. - Ting Yang; Carey E. Priebe (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

A Comparison of Graph Embedding Methods for Vertex Nomination. - Ming Sun; Minh Tang; Carey E. Priebe (ICMLA (1), 2012)

A bootstrap interval estimator for Bayes' classification error. - Chad M. Hawes; Carey E. Priebe (SSP, 2012)

Vertex Nomination via Content and Context - Glen A. Coppersmith; Carey E. Priebe (CoRR, 2012)

Fusion and inference from multiple data sources in a commensurate space. - Zhiliang Ma; David J. Marchette; Carey E. Priebe (Stat. Anal. Data Min., 2012)

Quantitative Horizon Scanning for Mitigating Technological Surprise: Detecting the Potential for Collaboration at the Interface. - Carey E. Priebe; Jeffrey L. Solka; David J. Marchette; Avory C. Bryant (Stat. Anal. Data Min., 2012)

Computing scalable multivariate glocal invariants of large (brain-) graphs. - Disa Mhembere; William R. Gray Roncal; Daniel L. Sussman; Carey E. Priebe; Rex E. Jung; Sephira Ryman; R. Jacob Vogelstein; Joshua T. Vogelstein; Randal C. Burns (GlobalSIP, 2013)

Inference in time series of graphs using locality statistics. - Heng Wang; Minh Tang; Carey E. Priebe; Youngser Park (GlobalSIP, 2013)

Metric Space Structures for Computational Anatomy. - Jianqiao Feng; Xiaoying Tang 001; Minh Tang; Carey E. Priebe; Michael I. Miller (MLMI, 2013)

Anomaly Detection in Time Series of Graphs using Fusion of Graph Invariants. - Youngser Park; Carey E. Priebe; Abdou Youssef (IEEE J. Sel. Top. Signal Process., 2013)

On Latent Position Inference from Doubly Stochastic Messaging Activities. - Nam H. Lee; Jordan Yoder; Minh Tang; Carey E. Priebe (Multiscale Model. Simul., 2013)

Graph Classification Using Signal-Subgraphs: Applications in Statistical Connectomics. - Joshua T. Vogelstein; William R. Gray Roncal; R. Jacob Vogelstein; Carey E. Priebe (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Efficiency investigation of manifold matching for text document classification. - Ming Sun; Carey E. Priebe (Pattern Recognit. Lett., 2013)

Generalized canonical correlation analysis for disparate data fusion. - Ming Sun; Carey E. Priebe; Minh Tang (Pattern Recognit. Lett., 2013)

Consistent Adjacency-Spectral Partitioning for the Stochastic Block Model When the Model Parameters Are Unknown. - Donniell E. Fishkind; Daniel L. Sussman; Minh Tang; Joshua T. Vogelstein; Carey E. Priebe (SIAM J. Matrix Anal. Appl., 2013)

Attribute Fusion in a Latent Process Model for Time Series of Graphs. - Minh Tang; Youngser Park; Nam H. Lee; Carey E. Priebe (IEEE Trans. Signal Process., 2013)

An Automated Images-to-Graphs Pipeline for High Resolution Connectomics. - William R. Gray Roncal; Dean Kleissas; Joshua T. Vogelstein; Priya Manavalan; Randal C. Burns; R. Jacob Vogelstein; Carey E. Priebe; Mark A. Chevillet; Gregory D. Hager (CoRR, 2014)

Active Community Detection in Massive Graphs. - Heng Wang; Da Zheng; Randal C. Burns; Carey E. Priebe (CoRR, 2014)

Seeded graph matching for correlated Erdös-Rényi graphs. - Vince Lyzinski; Donniell E. Fishkind; Carey E. Priebe (J. Mach. Learn. Res., 2014)

Generalized canonical correlation analysis for classification. - Cencheng Shen; Ming Sun; Minh Tang; Carey E. Priebe (J. Multivar. Anal., 2014)

Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs. - Daniel L. Sussman; Minh Tang; Carey E. Priebe (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Locality Statistics for Anomaly Detection in Time Series of Graphs. - Heng Wang; Minh Tang; Youngser Park; Carey E. Priebe (IEEE Trans. Signal Process., 2014)

FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs. - Da Zheng; Disa Mhembere; Randal C. Burns; Joshua T. Vogelstein; Carey E. Priebe; Alexander S. Szalay (FAST, 2015)

Shuffled Graph Classification: Theory and Connectome Applications. - Joshua T. Vogelstein; Carey E. Priebe (J. Classif., 2015)

A penalty search algorithm for the obstacle neutralization problem. - Ali Fuat Alkaya; Vural Aksakalli; Carey E. Priebe (Comput. Oper. Res., 2015)

An Automated Images-to-Graphs Framework for High Resolution Connectomics. - William R. Gray Roncal; Dean M. Kleissas; Joshua T. Vogelstein; Priya Manavalan; Kunal Lillaney; Michael J. Pekala; Randal C. Burns; R. Jacob Vogelstein; Carey E. Priebe; Mark A. Chevillet; Gregory D. Hager (Frontiers Neuroinformatics, 2015)

An integrative framework for sensor-based measurement of teamwork in healthcare. - Michael A. Rosen; Aaron S. Dietz; Ting Yang; Carey E. Priebe; Peter J. Pronovost (J. Am. Medical Informatics Assoc., 2015)

Spectral clustering for divide-and-conquer graph matching. - Vince Lyzinski; Daniel L. Sussman; Donniell E. Fishkind; Henry Pao; Li Chen; Joshua T. Vogelstein; Youngser Park; Carey E. Priebe (Parallel Comput., 2015)

Fidelity-Commensurability Tradeoff in Joint Embedding of Disparate Dissimilarities. - Sancar Adali; Carey E. Priebe (J. Classif., 2016)

On the Incommensurability Phenomenon. - Donniell E. Fishkind; Cencheng Shen; Youngser Park; Carey E. Priebe (J. Classif., 2016)

Cross-Domain Entity Resolution in Social Media. - William M. Campbell; Lin Li 005; Charlie K. Dagli; Joel Acevedo-Aviles; K. Geyer; Joseph P. Campbell; Carey E. Priebe (CoRR, 2016)

NUMA-optimized In-memory and Semi-external-memory Parameterized Clustering. - Disa Mhembere; Da Zheng; Joshua T. Vogelstein; Carey E. Priebe; Randal C. Burns (CoRR, 2016)

An SSD-based eigensolver for spectral analysis on billion-node graphs. - Da Zheng; Randal C. Burns; Joshua T. Vogelstein; Carey E. Priebe; Alexander S. Szalay (CoRR, 2016)

Semi-External Memory Sparse Matrix Multiplication on Billion-node Graphs in a Multicore Architecture. - Da Zheng; Disa Mhembere; Vince Lyzinski; Joshua T. Vogelstein; Carey E. Priebe; Randal C. Burns (CoRR, 2016)

FlashMatrix: Parallel, Scalable Data Analysis with Generalized Matrix Operations using Commodity SSDs. - Da Zheng; Disa Mhembere; Joshua T. Vogelstein; Carey E. Priebe; Randal C. Burns (CoRR, 2016)

On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching. - Vince Lyzinski; Keith D. Levin; Donniell E. Fishkind; Carey E. Priebe (J. Mach. Learn. Res., 2016)

Robust Vertex Classification. - Li Chen; Cencheng Shen; Joshua T. Vogelstein; Carey E. Priebe (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

A Model Selection Approach for Clustering a Multinomial Sequence with Non-Negative Factorization. - Nam H. Lee; Runze Tang; Carey E. Priebe; Michael A. Rosen (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Graph Matching: Relax at Your Own Risk. - Vince Lyzinski; Donniell E. Fishkind; Marcelo Fiori; Joshua T. Vogelstein; Carey E. Priebe; Guillermo Sapiro (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Posterior Probability Modeling and Image Classification for Archaeological Site Prospection: Building a Survey Efficacy Model for Identifying Neolithic Felsite Workshops in the Shetland Islands. - William P. Megarry; Gabriel Cooney; Douglas C. Comer; Carey E. Priebe (Remote. Sens., 2016)

knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library. - Disa Mhembere; Da Zheng; Carey E. Priebe; Joshua T. Vogelstein; Randal C. Burns (HPDC, 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 (ICDM Workshops, 2017)

Statistical inference for network samples using subgraph counts. - Pierre-André G. Maugis; Carey E. Priebe; Sofia C. Olhede; Patrick J. Wolfe (CoRR, 2017)

Joint Embedding of Graphs. - Shangsi Wang; Joshua T. Vogelstein; Carey E. Priebe (CoRR, 2017)

A statistical interpretation of spectral embedding: the generalised random dot product graph. - Patrick Rubin-Delanchy; Carey E. Priebe; Minh Tang; Joshua Cape (CoRR, 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)

Manifold matching using shortest-path distance and joint neighborhood selection. - Cencheng Shen; Joshua T. Vogelstein; Carey E. Priebe (Pattern Recognit. Lett., 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)

Semi-External Memory Sparse Matrix Multiplication for Billion-Node Graphs. - Da Zheng; Disa Mhembere; Vince Lyzinski; Joshua T. Vogelstein; Carey E. Priebe; Randal C. Burns (IEEE Trans. Parallel Distributed Syst., 2017)

Out-of-sample extension of graph adjacency spectral embedding. - Keith D. Levin; Farbod Roosta-Khorasani; Michael W. Mahoney; Carey E. Priebe (ICML, 2018)

FlashR: parallelize and scale R for machine learning using SSDs. - Da Zheng; Disa Mhembere; Joshua T. Vogelstein; Carey E. Priebe; Randal C. Burns (PPoPP, 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)

Multiplex graph matching matched filters. - Konstantinos Pantazis; Daniel L. Sussman; Youngser Park; Carey E. Priebe; Vince Lyzinski (IEEE BigData, 2019)

clusterNOR: A NUMA-Optimized Clustering Framework. - Disa Mhembere; Da Zheng; Carey E. Priebe; Joshua T. Vogelstein; Randal C. Burns (CoRR, 2019)

Vertex Nomination, Consistent Estimation, and Adversarial Modification. - Joshua Agterberg; Youngser Park; Jonathan Larson; Christopher M. White; Carey E. Priebe; Vince Lyzinski (CoRR, 2019)

Sparse Representation Classification via Screening for Graphs. - Cencheng Shen; Li Chen; Yuexiao Dong; Carey E. Priebe (CoRR, 2019)

Vertex Classification on Weighted Networks. - Hayden S. Helm; Joshua T. Vogelstein; Carey E. Priebe (CoRR, 2019)

Geodesic Learning via Unsupervised Decision Forests. - Meghana Madhyastha; Percy Li; James Browne; Veronika Strnadová-Neeley; Carey E. Priebe; Randal C. Burns; Joshua T. Vogelstein (CoRR, 2019)

Graphyti: A Semi-External Memory Graph Library for FlashGraph. - Disa Mhembere; Da Zheng; Carey E. Priebe; Joshua T. Vogelstein; Randal C. Burns (CoRR, 2019)

Spectral clustering in the weighted stochastic block model. - Ian Gallagher; Anna Bertiger; Carey E. Priebe; Patrick Rubin-Delanchy (CoRR, 2019)

The Exact Equivalence of Independence Testing and Two-Sample Testing. - Cencheng Shen; Carey E. Priebe; Joshua T. Vogelstein (CoRR, 2019)

On Consistent Vertex Nomination Schemes. - Vince Lyzinski; Keith D. Levin; Carey E. Priebe (J. Mach. Learn. Res., 2019)

On spectral embedding performance and elucidating network structure in stochastic blockmodel graphs. - Joshua Cape; Minh Tang; Carey E. Priebe (Netw. Sci., 2019)

Seeded graph matching. - Donniell E. Fishkind; Sancar Adali; Heather G. Patsolic; Lingyao Meng; Digvijay Singh; Vince Lyzinski; Carey E. Priebe (Pattern Recognit., 2019)

Alignment strength and correlation for graphs. - Donniell E. Fishkind; Lingyao Meng; Ao Sun; Carey E. Priebe; Vince Lyzinski (Pattern Recognit. Lett., 2019)

Connectome Smoothing via Low-Rank Approximations. - Runze Tang; Michael D. Ketcha; Alexandra Badea; Evan D. Calabrese; Daniel S. Margulies; Joshua T. Vogelstein; Carey E. Priebe; Daniel L. Sussman (IEEE Trans. Medical Imaging, 2019)

Geodesic Forests. - Meghana Madhyastha; Gongkai Li; Veronika Strnadová-Neeley; James Browne; Joshua T. Vogelstein; Randal C. Burns; Carey E. Priebe (KDD, 2020)

Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs. - Michael W. Trosset; Mingyue Gao; Minh Tang; Carey E. Priebe (CoRR, 2020)

A general approach to progressive intelligence. - Joshua T. Vogelstein; Hayden S. Helm; Ronak D. Mehta; Jayanta Dey; Weiwei Yang 004; Bryan Tower; Will LeVine; Jonathan Larson; Christopher M. White; Carey E. Priebe (CoRR, 2020)

On the role of features in vertex nomination: Content and context together are better (sometimes). - Keith D. Levin; Carey E. Priebe; Vince Lyzinski (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)

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)

A partition-based similarity for classification distributions. - Hayden S. Helm; Ronak D. Mehta; Brandon Duderstadt; Weiwei Yang 004; Christopher M. White; Ali Geisa; Joshua T. Vogelstein; Carey E. Priebe (CoRR, 2020)

Vertex nomination: The canonical sampling and the extended spectral nomination schemes. - Jordan Yoder; Li Chen; Henry Pao; Eric Bridgeford; Keith D. Levin; Donniell E. Fishkind; Carey E. Priebe; Vince Lyzinski (Comput. Stat. Data Anal., 2020)

Sparse Projection Oblique Randomer Forests. - Tyler M. Tomita; James Browne; Cencheng Shen; Jaewon Chung; Jesse Patsolic; Benjamin Falk; Carey E. Priebe; Jason Yim; Randal C. Burns; Mauro Maggioni; Joshua T. Vogelstein (J. Mach. Learn. Res., 2020)

Variability and heritability of mouse brain structure: Microscopic MRI atlases and connectomes for diverse strains. - Nian Wang 003; Robert J. Anderson; David G. Ashbrook; Vivek Gopalakrishnan; Youngser Park; Carey E. Priebe; Yi Qi; Rick Laoprasert; Joshua T. Vogelstein; Robert W. Williams; G. Allan Johnson (NeuroImage, 2020)

Matched Filters for Noisy Induced Subgraph Detection. - Daniel L. Sussman; Youngser Park; Carey E. Priebe; Vince Lyzinski (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Vertex nomination via seeded graph matching. - Heather G. Patsolic; Youngser Park; Vince Lyzinski; Carey E. Priebe (Stat. Anal. Data Min., 2020)

Sparse Representation Classification Beyond ℓ1 Minimization and the Subspace Assumption. - Cencheng Shen; Li Chen; Yuexiao Dong; Carey E. Priebe (IEEE Trans. Inf. Theory, 2020)

An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces. - Kelly Marchisio; Youngser Park; Ali Saad-Eldin; Anton Alyakin; Kevin Duh; Carey E. Priebe; Philipp Koehn (EMNLP (Findings), 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)

Inducing a hierarchy for multi-class classification problems. - Hayden S. Helm; Weiwei Yang 004; Sujeeth Bharadwaj; Kate Lytvynets; Oriana Riva; Christopher M. White; Ali Geisa; Carey E. Priebe (CoRR, 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)

Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic. - Jonathan Larson; Tiona Zuzul; Emily Cox Pahnke; Neha Parikh Shah; Patrick Bourke; Nicholas Caurvina; Fereshteh Amini; Youngser Park; Joshua T. Vogelstein; Jeffrey Weston; Christopher M. White; Carey E. Priebe (CoRR, 2021)

Leveraging semantically similar queries for ranking via combining representations. - Hayden S. Helm; Marah Ihab Abdin; Benjamin D. Pedigo; Shweti Mahajan; Vince Lyzinski; Youngser Park; Amitabh Basu; Piali Choudhury; Christopher M. White; Weiwei Yang 004; Carey E. Priebe (CoRR, 2021)

A principled (and practical) test for network comparison. - Gecia Bravo Hermsdorff; Lee M. Gunderson; Pierre-André G. Maugis; Carey E. Priebe (CoRR, 2021)

Graph Encoder Embedding. - Cencheng Shen; Qizhe Wang; Carey E. Priebe (CoRR, 2021)

Towards a theory of out-of-distribution learning. - Ali Geisa; Ronak D. Mehta; Hayden S. Helm; Jayanta Dey; Eric Eaton; Carey E. Priebe; Joshua T. Vogelstein (CoRR, 2021)

Graph Matching via Optimal Transport. - Ali Saad-Eldin; Benjamin D. Pedigo; Carey E. Priebe; Joshua T. Vogelstein (CoRR, 2021)

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)

Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering. - Congyuan Yang; Carey E. Priebe; Youngser Park; David J. Marchette (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)

Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings. - Keith D. Levin; Fred Roosta; Minh Tang; Michael W. Mahoney; Carey E. Priebe (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)

Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics. - Eric W. Bridgeford; Shangsi Wang; Zeyi Wang; Ting Xu 001; R. Cameron Craddock; Jayanta Dey; Gregory Kiar; William R. Gray Roncal; Carlo Colantuoni; Christopher Douville; Stephanie Noble; Carey E. Priebe; et al. (PLoS Comput. Biol., 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)

ART-SS: An Adaptive Rejection Technique for Semi-supervised Restoration for Adverse Weather-Affected Images. - Rajeev Yasarla; Carey E. Priebe; Vishal M. Patel (ECCV (18), 2022)

Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport. - Kelly Marchisio; Ali Saad-Eldin; Kevin Duh; Carey E. Priebe; Philipp Koehn (EMNLP, 2022)

Multiplex graph matching matched filters. - Konstantinos Pantazis; Daniel L. Sussman; Youngser Park; Zhirui Li; Carey E. Priebe; Vince Lyzinski (Appl. Netw. Sci., 2022)

Prospective Learning: Back to the Future. - Joshua T. Vogelstein; Timothy D. Verstynen; Konrad P. Kording; Leyla Isik; John W. Krakauer; Ralph Etienne-Cummings; Elizabeth L. Ogburn; Carey E. Priebe; Randal C. Burns; Kwame S. Kutten; James J. Knierim; James B. Potash; et al. (CoRR, 2022)

Mental State Classification Using Multi-graph Features. - Guodong Chen 003; Hayden S. Helm; Kate Lytvynets; Weiwei Yang 004; Carey E. Priebe (CoRR, 2022)

Deep Learning with Label Noise: A Hierarchical Approach. - Li Chen; Ningyuan Huang; Cong Mu; Hayden S. Helm; Kate Lytvynets; Weiwei Yang 004; Carey E. Priebe (CoRR, 2022)

From Local to Global: Spectral-Inspired Graph Neural Networks. - Ningyuan Huang; Soledad Villar; Carey E. Priebe; Da Zheng; Chengyue Huang; Lin Yang 011; Vladimir Braverman (CoRR, 2022)

Deep Learning is Provably Robust to Symmetric Label Noise. - Carey E. Priebe; Ningyuan Huang; Soledad Villar; Cong Mu; Li Chen (CoRR, 2022)

Change point localization in dependent dynamic nonparametric random dot product graphs. - Oscar Hernan Madrid Padilla; Yi Yu; Carey E. Priebe (J. Mach. Learn. Res., 2022)

A Simple Spectral Failure Mode for Graph Convolutional Networks. - Carey E. Priebe; Cencheng Shen; Ningyuan Huang; Tianyi Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Entrywise Estimation of Singular Vectors of Low-Rank Matrices With Heteroskedasticity and Dependence. - Joshua Agterberg; Zachary Lubberts; Carey E. Priebe (IEEE Trans. Inf. Theory, 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)

Vertex Nomination Between Graphs via Spectral Embedding and Quadratic Programming. - Runbing Zheng; Vince Lyzinski; Carey E. Priebe; Minh Tang (J. Comput. Graph. Stat., 2022)

Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection. - Cencheng Shen; Youngser Park; Carey E. Priebe (ADMIT, 2023)

Prospective Learning: Principled Extrapolation to the Future. - Ashwin De Silva; Rahul Ramesh; Lyle H. Ungar; Marshall G. Hussain Shuler; Noah J. Cowan; Michael L. Platt; Chen Li; Leyla Isik; Seung-Eon Roh; Adam S. Charles; Archana Venkataraman; Brian Caffo; et al. (CoLLAs, 2023)

Why do networks have inhibitory/negative connections? - Qingyang Wang 002; Michael A. Powell; Ali Geisa; Eric Bridgeford; Carey E. Priebe; Joshua T. Vogelstein (ICCV, 2023)

The Value of Out-of-Distribution Data. - Ashwin De Silva; Rahul Ramesh; Carey E. Priebe; Pratik Chaudhari; Joshua T. Vogelstein (ICML, 2023)

Dynamic network sampling for community detection. - Cong Mu; Youngser Park; Carey E. Priebe (Appl. Netw. Sci., 2023)

Approximately optimal domain adaptation with Fisher's Linear Discriminant Analysis. - Hayden S. Helm; Weiwei Yang 004; Ashwin De Silva; Joshua T. Vogelstein; Carey E. Priebe (CoRR, 2023)

Discovering Communication Pattern Shifts in Large-Scale Networks using Encoder Embedding and Vertex Dynamics. - Cencheng Shen; Jonathan Larson; Ha Trinh; Xihan Qin; Youngser Park; Carey E. Priebe (CoRR, 2023)

Comparing Foundation Models using Data Kernels. - Brandon Duderstadt; Hayden S. Helm; Carey E. Priebe (CoRR, 2023)

A Statistical Turing Test for Generative Models. - Hayden S. Helm; Carey E. Priebe; Weiwei Yang 004 (CoRR, 2023)

Quantifying Network Similarity using Graph Cumulants. - Gecia Bravo Hermsdorff; Lee M. Gunderson; Pierre-André G. Maugis; Carey E. Priebe (J. Mach. Learn. Res., 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; 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)

Subgraph nomination: query by example subgraph retrieval in networks. - Al-Fahad M. Al-Qadhi; Carey E. Priebe; Hayden S. Helm; Vince Lyzinski (Stat. Comput., 2023)

One-Hot Graph Encoder Embedding. - Cencheng Shen; Qizhe Wang; Carey E. Priebe (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Semisupervised regression in latent structure networks on unknown manifolds. - Aranyak Acharyya; Joshua Agterberg; Michael W. Trosset; Youngser Park; Carey E. Priebe (Appl. Netw. Sci., 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)

Tracking the perspectives of interacting language models. - Hayden S. Helm; Brandon Duderstadt; Youngser Park; Carey E. Priebe (EMNLP, 2024)

Edge-Parallel Graph Encoder Embedding. - Ariel Lubonja; Cencheng Shen; Carey E. Priebe; Randal C. Burns (IPDPS (Workshops), 2024)

Continuous Multidimensional Scaling. - Michael W. Trosset; Carey E. Priebe (CoRR, 2024)

MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering. - Robert Osazuwa Ness; Katie Matton; Hayden S. Helm; Sheng Zhang 012; Junaid Bajwa; Carey E. Priebe; Eric Horvitz (CoRR, 2024)

Consistent estimation of generative model representations in the data kernel perspective space. - Aranyak Acharyya; Michael W. Trosset; Carey E. Priebe; Hayden S. Helm (CoRR, 2024)

Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings. - Konstantinos Pantazis; Michael W. Trosset; William N. Frost; Carey E. Priebe; Vince Lyzinski (CoRR, 2024)

Embedding-based statistical inference on generative models. - Hayden S. Helm; Aranyak Acharyya; Brandon Duderstadt; Youngser Park; Carey E. Priebe (CoRR, 2024)

Investigating social alignment via mirroring in a system of interacting language models. - Harvey McGuinness; Tianyu Wang; Carey E. Priebe; Hayden S. Helm (CoRR, 2024)

Synergistic graph fusion via encoder embedding. - Cencheng Shen; Carey E. Priebe; Jonathan Larson; Ha Trinh (Inf. Sci., 2024)

Discovering the signal subgraph: An iterative screening approach on graphs. - Cencheng Shen; Shangsi Wang; Alexandra Badea; Carey E. Priebe; Joshua T. Vogelstein (Pattern Recognit. Lett., 2024)

Discovering Communication Pattern Shifts in Large-Scale Labeled Networks Using Encoder Embedding and Vertex Dynamics. - Cencheng Shen; Jonathan Larson; Ha Trinh; Xihan Qin; Youngser Park; Carey E. Priebe (IEEE Trans. Netw. Sci. Eng., 2024)

Gotta Match 'Em All: Solution Diversification in Graph Matching Matched Filters. - Zhirui Li; Ben Johnson; Daniel L. Sussman; Carey E. Priebe; Vince Lyzinski (IEEE Trans. Signal Inf. Process. over Networks, 2024)

Correcting a nonparametric two-sample graph hypothesis test for graphs with different numbers of vertices with applications to connectomics. - Anton Alyakin; Joshua Agterberg; Hayden S. Helm; Carey E. Priebe (Appl. Netw. Sci., 2024)

Statistical inference on black-box generative models in the data kernel perspective space. - Hayden S. Helm; Aranyak Acharyya; Youngser Park; Brandon Duderstadt; Carey E. Priebe (ACL (Findings), 2025)

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)

Dynamic Silos: Increased Modularity and Decreased Stability in Intraorganizational Communication Networks During the COVID-19 Pandemic. - Tiona Zuzul; Emily Cox Pahnke; Jonathan Larson; Patrick Bourke; Nicholas Caurvina; Neha Parikh Shah; Fereshteh Amini; Jeffrey Weston; Youngser Park; Joshua T. Vogelstein; Christopher M. White; Carey E. Priebe (Manag. Sci., 2025)

Explaining Categorical Feature Interactions Using Graph Covariance and LLMs. - Cencheng Shen; Darren Edge; Jonathan Larson; Carey E. Priebe (CoRR, 2025)

Principal Graph Encoder Embedding and Principal Community Detection. - Cencheng Shen; Yuexiao Dong; Carey E. Priebe; Jonathan Larson; Ha Trinh; Youngser Park (CoRR, 2025)

Toward a digital twin of U.S. Congress. - Hayden S. Helm; Tianyi Chen; Harvey McGuinness; Paige Lee; Brandon Duderstadt; Carey E. Priebe (CoRR, 2025)

Out-of-Sample Embedding with Proximity Data: Projection versus Restricted Reconstruction. - Michael W. Trosset; Kaiyi Tan; Minh Tang; Carey E. Priebe (CoRR, 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)

LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs. - Tianyu Wang; Lingyou Pang; Akira Horiguchi; Carey E. Priebe (CoRR, 2025)

Graph Neural Networks Powered by Encoder Embedding for Improved Node Learning. - Shiyu Chen; Cencheng Shen; Youngser Park; Carey E. Priebe (CoRR, 2025)

Refined graph encoder embedding via self-training and latent community recovery. - Cencheng Shen; Jonathan Larson; Ha Trinh; Carey E. Priebe (Soc. Netw. Anal. Min., 2025)