Carey E. Priebe

240 papers A* 6A 2B 5Misc 2Journal 204Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Convergence Guarantees for Response Prediction for Latent Structure Network Time Series. IEEE Trans. Netw. Sci. Eng. Aranyak Acharyya, Francesco Sanna Passino, Michael W. Trosset, Carey E. Priebe
2026	J	`jnl`	Data Kernel Perspective Space Performance Guarantees for Synthetic Data from Transformer Models. CoRR Michael Browder, Kevin Duh, J. David Harris, Vince Lyzinski, Paul McNamee, Youngser Park, Carey E. Priebe, Peter Viechnicki
2026	J	`jnl`	Explaining categorical feature interactions using graph covariance and LLMs. Appl. Netw. Sci. Cencheng Shen, Darren Edge, Jonathan Larson, Carey E. Priebe
2026	J	`jnl`	Principal Graph Encoder Embedding and Principal Community Detection. IEEE Trans. Netw. Sci. Eng. Cencheng Shen, Yuexiao Dong, Carey E. Priebe, Jonathan Larson, Ha Trinh, Youngser Park
2026	J	`jnl`	SIGMA: Scalable Spectral Insights for LLM Model Collapse. CoRR Yi Gu, Lingyou Pang, Xiangkun Ye, Tianyu Wang, Jianyu Lin, Carey E. Priebe, Alexander Aue
2025	J	`jnl`	Concentration bounds on response-based vector embeddings of black-box generative models. CoRR Aranyak Acharyya, Joshua Agterberg, Youngser Park, Carey E. Priebe
2025	J	`jnl`	Decision Tree Embedding by Leaf-Means. CoRR Cencheng Shen, Yuexiao Dong, Carey E. Priebe
2025	J	`jnl`	Dynamic Silos: Increased Modularity and Decreased Stability in Intraorganizational Communication Networks During the COVID-19 Pandemic. Manag. Sci. 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
2025	J	`jnl`	Explaining Categorical Feature Interactions Using Graph Covariance and LLMs. CoRR Cencheng Shen, Darren Edge, Jonathan Larson, Carey E. Priebe
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`	Graph Neural Networks Powered by Encoder Embedding for Improved Node Learning. CoRR Shiyu Chen, Cencheng Shen, Youngser Park, Carey E. Priebe
2025	J	`jnl`	LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs. CoRR Tianyu Wang, Lingyou Pang, Akira Horiguchi, 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
2025	J	`jnl`	Out-of-Sample Embedding with Proximity Data: Projection versus Restricted Reconstruction. CoRR Michael W. Trosset, Kaiyi Tan, Minh Tang, Carey E. Priebe
2025	J	`jnl`	Principal Graph Encoder Embedding and Principal Community Detection. CoRR Cencheng Shen, Yuexiao Dong, Carey E. Priebe, Jonathan Larson, Ha Trinh, Youngser Park
2025	J	`jnl`	Refined graph encoder embedding via self-training and latent community recovery. Soc. Netw. Anal. Min. Cencheng Shen, Jonathan Larson, Ha Trinh, Carey E. Priebe
2025	J	`jnl`	Simple Lifelong Learning Machines. IEEE Trans. Pattern Anal. Mach. Intell. Joshua T. Vogelstein, Jayanta Dey, Hayden S. Helm, Will LeVine, Ronak D. Mehta, Tyler M. Tomita, Haoyin Xu, Ali Geisa, Qingyang Wang, Gido M. van de Ven, Chenyu Gao, Weiwei Yang, Bryan Tower, Jonathan Larson, Christopher M. White, Carey E. Priebe
2025	—	`conf`	Statistical inference on black-box generative models in the data kernel perspective space. ACL (Findings) Hayden S. Helm, Aranyak Acharyya, Youngser Park, Brandon Duderstadt, Carey E. Priebe
2025	J	`jnl`	Testing for LLM response differences: the case of a composite null consisting of semantically irrelevant query perturbations. CoRR Aranyak Acharyya, Carey E. Priebe, Hayden S. Helm
2025	J	`jnl`	Toward a digital twin of U.S. Congress. CoRR Hayden S. Helm, Tianyi Chen, Harvey McGuinness, Paige Lee, Brandon Duderstadt, Carey E. Priebe
2025	J	`jnl`	Unsupervised Conformal Inference: Bootstrapping and Alignment to Control LLM Uncertainty. CoRR Lingyou Pang, Lei Huang, Jianyu Lin, Tianyu Wang, Akira Horiguchi, Alexander Aue, Carey E. Priebe
2024	J	`jnl`	Approximate Information Tests on Statistical Submanifolds. J. Mach. Learn. Res. Michael W. Trosset, Carey E. Priebe
2024	J	`jnl`	Consistent estimation of generative model representations in the data kernel perspective space. CoRR Aranyak Acharyya, Michael W. Trosset, Carey E. Priebe, Hayden S. Helm
2024	J	`jnl`	Continuous Multidimensional Scaling. CoRR Michael W. Trosset, Carey E. Priebe
2024	J	`jnl`	Correcting a nonparametric two-sample graph hypothesis test for graphs with different numbers of vertices with applications to connectomics. Appl. Netw. Sci. Anton Alyakin, Joshua Agterberg, Hayden S. Helm, Carey E. Priebe
2024	J	`jnl`	Discovering Communication Pattern Shifts in Large-Scale Labeled Networks Using Encoder Embedding and Vertex Dynamics. IEEE Trans. Netw. Sci. Eng. Cencheng Shen, Jonathan Larson, Ha Trinh, Xihan Qin, Youngser Park, Carey E. Priebe
2024	J	`jnl`	Discovering the signal subgraph: An iterative screening approach on graphs. Pattern Recognit. Lett. Cencheng Shen, Shangsi Wang, Alexandra Badea, Carey E. Priebe, Joshua T. Vogelstein
2024	—	`conf`	Edge-Parallel Graph Encoder Embedding. IPDPS (Workshops) Ariel Lubonja, Cencheng Shen, Carey E. Priebe, Randal C. Burns
2024	J	`jnl`	Edge-Parallel Graph Encoder Embedding. CoRR Ariel Lubonja, Cencheng Shen, Carey E. Priebe, Randal C. Burns
2024	J	`jnl`	Embedding-based statistical inference on generative models. CoRR Hayden S. Helm, Aranyak Acharyya, Brandon Duderstadt, Youngser Park, Carey E. Priebe
2024	J	`jnl`	Gotta Match 'Em All: Solution Diversification in Graph Matching Matched Filters. IEEE Trans. Signal Inf. Process. over Networks Zhirui Li, Ben Johnson, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski
2024	J	`jnl`	Investigating social alignment via mirroring in a system of interacting language models. CoRR Harvey McGuinness, Tianyu Wang, Carey E. Priebe, Hayden S. Helm
2024	J	`jnl`	MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering. CoRR Robert Osazuwa Ness, Katie Matton, Hayden S. Helm, Sheng Zhang, Junaid Bajwa, Carey E. Priebe, Eric Horvitz
2024	J	`jnl`	Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings. CoRR Konstantinos Pantazis, Michael W. Trosset, William N. Frost, Carey E. Priebe, Vince Lyzinski
2024	J	`jnl`	Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery. CoRR Cencheng Shen, Jonathan Larson, Ha Trinh, Carey E. Priebe
2024	J	`jnl`	Synergistic graph fusion via encoder embedding. Inf. Sci. Cencheng Shen, Carey E. Priebe, Jonathan Larson, Ha Trinh
2024	A*	`conf`	Tracking the perspectives of interacting language models. EMNLP Hayden S. Helm, Brandon Duderstadt, Youngser Park, Carey E. Priebe
2024	J	`jnl`	Tracking the perspectives of interacting language models. CoRR Hayden S. Helm, Brandon Duderstadt, Youngser Park, Carey E. Priebe
2023	J	`jnl`	A Statistical Turing Test for Generative Models. CoRR Hayden S. Helm, Carey E. Priebe, Weiwei Yang
2023	J	`jnl`	Approximately optimal domain adaptation with Fisher's Linear Discriminant Analysis. CoRR Hayden S. Helm, Weiwei Yang, Ashwin De Silva, Joshua T. Vogelstein, Carey E. Priebe
2023	J	`jnl`	Comparing Foundation Models using Data Kernels. CoRR Brandon Duderstadt, Hayden S. Helm, Carey E. Priebe
2023	J	`jnl`	Discovering Communication Pattern Shifts in Large-Scale Networks using Encoder Embedding and Vertex Dynamics. CoRR Cencheng Shen, Jonathan Larson, Ha Trinh, Xihan Qin, Youngser Park, 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`	Dynamic network sampling for community detection. Appl. Netw. Sci. Cong Mu, Youngser Park, Carey E. Priebe
2023	J	`jnl`	Gotta match 'em all: Solution diversification in graph matching matched filters. CoRR Zhirui Li, Ben Johnson, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski
2023	—	`conf`	Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection. ADMIT Cencheng Shen, Youngser Park, Carey E. Priebe
2023	J	`jnl`	Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection. CoRR Cencheng Shen, Youngser Park, Carey E. Priebe
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
2023	J	`jnl`	One-Hot Graph Encoder Embedding. IEEE Trans. Pattern Anal. Mach. Intell. Cencheng Shen, Qizhe Wang, Carey E. Priebe
2023	—	`conf`	Prospective Learning: Principled Extrapolation to the Future. CoLLAs 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, Javier J. How, Justus M. Kebschull, John W. Krakauer, Maxim Bichuch, Kaleab Alemayehu Kinfu, Eva Yezerets, Dinesh Jayaraman, Jong M. Shin, Soledad Villar, Ian Phillips, Carey E. Priebe, Thomas Hartung, Michael I. Miller, Jayanta Dey, Ningyuan Huang, Eric Eaton, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Randal C. Burns, Onyema Osuagwu, Brett Mensh, Alysson R. Muotri, Julia Brown, Chris White, Weiwei Yang, Andrei A. Rusu, Timothy D. Verstynen, Konrad P. Kording, Pratik Chaudhari, Joshua T. Vogelstein
2023	J	`jnl`	Quantifying Network Similarity using Graph Cumulants. J. Mach. Learn. Res. Gecia Bravo Hermsdorff, Lee M. Gunderson, Pierre-André G. Maugis, Carey E. Priebe
2023	J	`jnl`	Semisupervised regression in latent structure networks on unknown manifolds. Appl. Netw. Sci. Aranyak Acharyya, Joshua Agterberg, Michael W. Trosset, Youngser Park, Carey E. Priebe
2023	J	`jnl`	Semisupervised regression in latent structure networks on unknown manifolds. CoRR Aranyak Acharyya, Joshua Agterberg, Michael W. Trosset, Youngser Park, Carey E. Priebe
2023	J	`jnl`	Subgraph nomination: query by example subgraph retrieval in networks. Stat. Comput. Al-Fahad M. Al-Qadhi, Carey E. Priebe, Hayden S. Helm, Vince Lyzinski
2023	J	`jnl`	Synergistic Graph Fusion via Encoder Embedding. CoRR Cencheng Shen, Carey E. Priebe, Jonathan Larson, Ha Trinh
2023	A*	`conf`	The Value of Out-of-Distribution Data. ICML Ashwin De Silva, Rahul Ramesh, Carey E. Priebe, Pratik Chaudhari, Joshua T. Vogelstein
2023	A*	`conf`	Why do networks have inhibitory/negative connections? ICCV Qingyang Wang, Michael A. Powell, Ali Geisa, Eric Bridgeford, Carey E. Priebe, Joshua T. Vogelstein
2022	J	`jnl`	A Simple Spectral Failure Mode for Graph Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. Carey E. Priebe, Cencheng Shen, Ningyuan Huang, Tianyi Chen
2022	J	`jnl`	ART-SS: An Adaptive Rejection Technique for Semi-Supervised restoration for adverse weather-affected images. CoRR Rajeev Yasarla, Carey E. Priebe, Vishal Patel
2022	—	`conf`	ART-SS: An Adaptive Rejection Technique for Semi-supervised Restoration for Adverse Weather-Affected Images. ECCV (18) Rajeev Yasarla, Carey E. Priebe, Vishal M. Patel
2022	A*	`conf`	Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport. EMNLP Kelly Marchisio, Ali Saad-Eldin, Kevin Duh, Carey E. Priebe, Philipp Koehn
2022	J	`jnl`	Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport. CoRR Kelly Marchisio, Ali Saad-Eldin, Kevin Duh, Carey E. Priebe, Philipp Koehn
2022	J	`jnl`	Change point localization in dependent dynamic nonparametric random dot product graphs. J. Mach. Learn. Res. Oscar Hernan Madrid Padilla, Yi Yu, Carey E. Priebe
2022	J	`jnl`	Deep Learning is Provably Robust to Symmetric Label Noise. CoRR Carey E. Priebe, Ningyuan Huang, Soledad Villar, Cong Mu, Li Chen
2022	J	`jnl`	Deep Learning with Label Noise: A Hierarchical Approach. CoRR Li Chen, Ningyuan Huang, Cong Mu, Hayden S. Helm, Kate Lytvynets, Weiwei Yang, Carey E. Priebe
2022	J	`jnl`	Dynamic Network Sampling for Community Detection. CoRR Cong Mu, Youngser Park, Carey E. Priebe
2022	J	`jnl`	Entrywise Estimation of Singular Vectors of Low-Rank Matrices With Heteroskedasticity and Dependence. IEEE Trans. Inf. Theory Joshua Agterberg, Zachary Lubberts, Carey E. Priebe
2022	J	`jnl`	From Local to Global: Spectral-Inspired Graph Neural Networks. CoRR Ningyuan Huang, Soledad Villar, Carey E. Priebe, Da Zheng, Chengyue Huang, Lin Yang, Vladimir Braverman
2022	J	`jnl`	Mental State Classification Using Multi-graph Features. CoRR Guodong Chen, Hayden S. Helm, Kate Lytvynets, Weiwei Yang, Carey E. Priebe
2022	J	`jnl`	Multiplex graph matching matched filters. Appl. Netw. Sci. Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Zhirui Li, Carey E. Priebe, Vince Lyzinski
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`	Prospective Learning: Back to the Future. CoRR 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, Thomas Hartung, Lena Smirnova, Paul Worley, Alena V. Savonenko, Ian Phillips, Michael I. Miller, René Vidal, Jeremias Sulam, Adam S. Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish V. Thakor, Justus M. Kebschull, Marilyn S. Albert, Jinchong Xu, Marshall G. Hussain Shuler, Brian Caffo, J. Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael L. Platt, Lyle H. Ungar, Leila Wehbe, Ádám Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel A. Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang
2022	J	`jnl`	The Value of Out-of-Distribution Data. CoRR Ashwin De Silva, Rahul Ramesh, Carey E. Priebe, Pratik Chaudhari, Joshua T. Vogelstein
2022	J	`jnl`	Vertex Nomination Between Graphs via Spectral Embedding and Quadratic Programming. J. Comput. Graph. Stat. Runbing Zheng, Vince Lyzinski, Carey E. Priebe, Minh Tang
2021	J	`jnl`	A principled (and practical) test for network comparison. CoRR Gecia Bravo Hermsdorff, Lee M. Gunderson, Pierre-André G. Maugis, Carey E. Priebe
2021	—	`conf`	An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces. EMNLP (Findings) Kelly Marchisio, Youngser Park, Ali Saad-Eldin, Anton Alyakin, Kevin Duh, Carey E. Priebe, Philipp Koehn
2021	J	`jnl`	An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces. CoRR Kelly Marchisio, Youngser Park, Ali Saad-Eldin, Anton Alyakin, Kevin Duh, Carey E. Priebe, Philipp Koehn
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`	Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic. CoRR 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
2021	J	`jnl`	Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics. PLoS Comput. Biol. Eric W. Bridgeford, Shangsi Wang, Zeyi Wang, Ting Xu, R. Cameron Craddock, Jayanta Dey, Gregory Kiar, William R. Gray Roncal, Carlo Colantuoni, Christopher Douville, Stephanie Noble, Carey E. Priebe, Brian Caffo, Michael P. Milham, Xi-Nian Zuo, Joshua T. Vogelstein
2021	J	`jnl`	Graph Encoder Embedding. CoRR Cencheng Shen, Qizhe Wang, Carey E. Priebe
2021	J	`jnl`	Graph Matching Between Bipartite and Unipartite Networks: To Collapse, or Not to Collapse, That Is the Question. IEEE Trans. Netw. Sci. Eng. Jesús Arroyo, Carey E. Priebe, Vince Lyzinski
2021	J	`jnl`	Graph Matching via Optimal Transport. CoRR Ali Saad-Eldin, Benjamin D. Pedigo, Carey E. Priebe, Joshua T. Vogelstein
2021	J	`jnl`	Inducing a hierarchy for multi-class classification problems. CoRR Hayden S. Helm, Weiwei Yang, Sujeeth Bharadwaj, Kate Lytvynets, Oriana Riva, Christopher M. White, Ali Geisa, 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`	Joint Embedding of Graphs. IEEE Trans. Pattern Anal. Mach. Intell. Shangsi Wang, Jesús Arroyo, Joshua T. Vogelstein, Carey E. Priebe
2021	J	`jnl`	Leveraging semantically similar queries for ranking via combining representations. CoRR Hayden S. Helm, Marah Ihab Abdin, Benjamin D. Pedigo, Shweti Mahajan, Vince Lyzinski, Youngser Park, Amitabh Basu, Piali Choudhury, Christopher M. White, Weiwei Yang, Carey E. Priebe
2021	J	`jnl`	Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings. J. Mach. Learn. Res. Keith D. Levin, Fred Roosta, Minh Tang, Michael W. Mahoney, Carey E. Priebe
2021	J	`jnl`	Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks. J. Comput. Graph. Stat. Jesús Arroyo, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski
2021	J	`jnl`	Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering. J. Comput. Graph. Stat. Congyuan Yang, Carey E. Priebe, Youngser Park, David J. Marchette
2021	J	`jnl`	Subgraph nomination: Query by Example Subgraph Retrieval in Networks. CoRR Al-Fahad M. Al-Qadhi, Carey E. Priebe, Hayden S. Helm, Vince Lyzinski
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
2021	J	`jnl`	Towards a theory of out-of-distribution learning. CoRR Ali Geisa, Ronak D. Mehta, Hayden S. Helm, Jayanta Dey, Eric Eaton, Carey E. Priebe, Joshua T. Vogelstein
2020	J	`jnl`	A Simple Spectral Failure Mode for Graph Convolutional Networks. CoRR Carey E. Priebe, Cencheng Shen, Ningyuan Huang, Tianyi Chen
2020	J	`jnl`	A general approach to progressive intelligence. CoRR Joshua T. Vogelstein, Hayden S. Helm, Ronak D. Mehta, Jayanta Dey, Weiwei Yang, Bryan Tower, Will LeVine, Jonathan Larson, Christopher M. White, Carey E. Priebe
2020	J	`jnl`	A partition-based similarity for classification distributions. CoRR Hayden S. Helm, Ronak D. Mehta, Brandon Duderstadt, Weiwei Yang, Christopher M. White, Ali Geisa, Joshua T. Vogelstein, Carey E. Priebe
2020	A*	`conf`	Geodesic Forests. KDD Meghana Madhyastha, Gongkai Li, Veronika Strnadová-Neeley, James Browne, Joshua T. Vogelstein, Randal C. Burns, Carey E. Priebe
2020	J	`jnl`	Graph matching between bipartite and unipartite networks: to collapse, or not to collapse, that is the question. CoRR Jesús Arroyo, Carey E. Priebe, Vince Lyzinski
2020	J	`jnl`	Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs. CoRR Michael W. Trosset, Mingyue Gao, Minh Tang, Carey E. Priebe
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`	Matched Filters for Noisy Induced Subgraph Detection. IEEE Trans. Pattern Anal. Mach. Intell. Daniel L. Sussman, Youngser Park, Carey E. Priebe, Vince Lyzinski
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
2020	J	`jnl`	On the role of features in vertex nomination: Content and context together are better (sometimes). CoRR Keith D. Levin, Carey E. Priebe, Vince Lyzinski
2020	J	`jnl`	Sparse Projection Oblique Randomer Forests. J. Mach. Learn. Res. 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
2020	J	`jnl`	Sparse Representation Classification Beyond ℓ1 Minimization and the Subspace Assumption. IEEE Trans. Inf. Theory Cencheng Shen, Li Chen, Yuexiao Dong, Carey E. Priebe
2020	J	`jnl`	Variability and heritability of mouse brain structure: Microscopic MRI atlases and connectomes for diverse strains. NeuroImage Nian Wang, 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
2020	J	`jnl`	Vertex nomination between graphs via spectral embedding and quadratic programming. CoRR Runbing Zheng, Vince Lyzinski, Carey E. Priebe, Minh Tang
2020	J	`jnl`	Vertex nomination via seeded graph matching. Stat. Anal. Data Min. Heather G. Patsolic, Youngser Park, Vince Lyzinski, Carey E. Priebe
2020	J	`jnl`	Vertex nomination: The canonical sampling and the extended spectral nomination schemes. Comput. Stat. Data Anal. Jordan Yoder, Li Chen, Henry Pao, Eric Bridgeford, Keith D. Levin, Donniell E. Fishkind, Carey E. Priebe, Vince Lyzinski
2019	J	`jnl`	Alignment strength and correlation for graphs. Pattern Recognit. Lett. Donniell E. Fishkind, Lingyao Meng, Ao Sun, Carey E. Priebe, Vince Lyzinski
2019	J	`jnl`	Connectome Smoothing via Low-Rank Approximations. IEEE Trans. Medical Imaging Runze Tang, Michael D. Ketcha, Alexandra Badea, Evan D. Calabrese, Daniel S. Margulies, Joshua T. Vogelstein, Carey E. Priebe, Daniel L. Sussman
2019	J	`jnl`	Geodesic Learning via Unsupervised Decision Forests. CoRR Meghana Madhyastha, Percy Li, James Browne, Veronika Strnadová-Neeley, Carey E. Priebe, Randal C. Burns, Joshua T. Vogelstein
2019	J	`jnl`	Graphyti: A Semi-External Memory Graph Library for FlashGraph. CoRR Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns
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
2019	J	`jnl`	Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings. CoRR Keith D. Levin, Fred Roosta, Minh Tang, Michael W. Mahoney, Carey E. Priebe
2019	—	`conf`	Multiplex graph matching matched filters. IEEE BigData Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Carey E. Priebe, Vince Lyzinski
2019	J	`jnl`	Multiplex graph matching matched filters. CoRR Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Carey E. Priebe, Vince Lyzinski
2019	J	`jnl`	On Consistent Vertex Nomination Schemes. J. Mach. Learn. Res. Vince Lyzinski, Keith D. Levin, Carey E. Priebe
2019	J	`jnl`	On spectral embedding performance and elucidating network structure in stochastic blockmodel graphs. Netw. Sci. Joshua Cape, Minh Tang, Carey E. Priebe
2019	J	`jnl`	Seeded graph matching. Pattern Recognit. Donniell E. Fishkind, Sancar Adali, Heather G. Patsolic, Lingyao Meng, Digvijay Singh, Vince Lyzinski, Carey E. Priebe
2019	J	`jnl`	Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering. CoRR Congyuan Yang, Carey E. Priebe, Youngser Park, David J. Marchette
2019	J	`jnl`	Sparse Representation Classification via Screening for Graphs. CoRR Cencheng Shen, Li Chen, Yuexiao Dong, Carey E. Priebe
2019	J	`jnl`	Spectral clustering in the weighted stochastic block model. CoRR Ian Gallagher, Anna Bertiger, Carey E. Priebe, Patrick Rubin-Delanchy
2019	J	`jnl`	The Exact Equivalence of Independence Testing and Two-Sample Testing. CoRR Cencheng Shen, Carey E. Priebe, Joshua T. Vogelstein
2019	J	`jnl`	Vertex Classification on Weighted Networks. CoRR Hayden S. Helm, Joshua T. Vogelstein, Carey E. Priebe
2019	J	`jnl`	Vertex Nomination, Consistent Estimation, and Adversarial Modification. CoRR Joshua Agterberg, Youngser Park, Jonathan Larson, Christopher M. White, Carey E. Priebe, Vince Lyzinski
2019	J	`jnl`	clusterNOR: A NUMA-Optimized Clustering Framework. CoRR Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns
2018	B	`conf`	FlashR: parallelize and scale R for machine learning using SSDs. PPoPP Da Zheng, Disa Mhembere, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
2018	J	`jnl`	Matched Filters for Noisy Induced Subgraph Detection. CoRR Daniel L. Sussman, Vince Lyzinski, Youngser Park, Carey E. Priebe
2018	J	`jnl`	Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks. CoRR Jesús Arroyo, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski
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
2018	A*	`conf`	Out-of-sample extension of graph adjacency spectral embedding. ICML Keith D. Levin, Farbod Roosta-Khorasani, Michael W. Mahoney, Carey E. Priebe
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`	A statistical interpretation of spectral embedding: the generalised random dot product graph. CoRR Patrick Rubin-Delanchy, Carey E. Priebe, Minh Tang, Joshua Cape
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`	Joint Embedding of Graphs. CoRR Shangsi Wang, Joshua T. Vogelstein, Carey E. Priebe
2017	J	`jnl`	Manifold matching using shortest-path distance and joint neighborhood selection. Pattern Recognit. Lett. Cencheng Shen, Joshua T. Vogelstein, Carey E. Priebe
2017	J	`jnl`	Semi-External Memory Sparse Matrix Multiplication for Billion-Node Graphs. IEEE Trans. Parallel Distributed Syst. Da Zheng, Disa Mhembere, Vince Lyzinski, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
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
2017	J	`jnl`	Statistical inference for network samples using subgraph counts. CoRR Pierre-André G. Maugis, Carey E. Priebe, Sofia C. Olhede, Patrick J. Wolfe
2017	A	`conf`	knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library. HPDC Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns
2016	J	`jnl`	A Model Selection Approach for Clustering a Multinomial Sequence with Non-Negative Factorization. IEEE Trans. Pattern Anal. Mach. Intell. Nam H. Lee, Runze Tang, Carey E. Priebe, Michael A. Rosen
2016	J	`jnl`	An SSD-based eigensolver for spectral analysis on billion-node graphs. CoRR Da Zheng, Randal C. Burns, Joshua T. Vogelstein, Carey E. Priebe, Alexander S. Szalay
2016	J	`jnl`	Cross-Domain Entity Resolution in Social Media. CoRR William M. Campbell, Lin Li, Charlie K. Dagli, Joel Acevedo-Aviles, K. Geyer, Joseph P. Campbell, Carey E. Priebe
2016	J	`jnl`	Fidelity-Commensurability Tradeoff in Joint Embedding of Disparate Dissimilarities. J. Classif. Sancar Adali, Carey E. Priebe
2016	J	`jnl`	FlashMatrix: Parallel, Scalable Data Analysis with Generalized Matrix Operations using Commodity SSDs. CoRR Da Zheng, Disa Mhembere, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
2016	J	`jnl`	Graph Matching: Relax at Your Own Risk. IEEE Trans. Pattern Anal. Mach. Intell. Vince Lyzinski, Donniell E. Fishkind, Marcelo Fiori, Joshua T. Vogelstein, Carey E. Priebe, Guillermo Sapiro
2016	J	`jnl`	NUMA-optimized In-memory and Semi-external-memory Parameterized Clustering. CoRR Disa Mhembere, Da Zheng, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
2016	J	`jnl`	On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching. J. Mach. Learn. Res. Vince Lyzinski, Keith D. Levin, Donniell E. Fishkind, Carey E. Priebe
2016	J	`jnl`	On the Incommensurability Phenomenon. J. Classif. Donniell E. Fishkind, Cencheng Shen, Youngser Park, Carey E. Priebe
2016	J	`jnl`	Posterior Probability Modeling and Image Classification for Archaeological Site Prospection: Building a Survey Efficacy Model for Identifying Neolithic Felsite Workshops in the Shetland Islands. Remote. Sens. William P. Megarry, Gabriel Cooney, Douglas C. Comer, Carey E. Priebe
2016	J	`jnl`	Robust Vertex Classification. IEEE Trans. Pattern Anal. Mach. Intell. Li Chen, Cencheng Shen, Joshua T. Vogelstein, Carey E. Priebe
2016	J	`jnl`	Semi-External Memory Sparse Matrix Multiplication on Billion-node Graphs in a Multicore Architecture. CoRR Da Zheng, Disa Mhembere, Vince Lyzinski, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
2015	J	`jnl`	A penalty search algorithm for the obstacle neutralization problem. Comput. Oper. Res. Ali Fuat Alkaya, Vural Aksakalli, Carey E. Priebe
2015	J	`jnl`	An Automated Images-to-Graphs Framework for High Resolution Connectomics. Frontiers Neuroinformatics 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
2015	J	`jnl`	An integrative framework for sensor-based measurement of teamwork in healthcare. J. Am. Medical Informatics Assoc. Michael A. Rosen, Aaron S. Dietz, Ting Yang, Carey E. Priebe, Peter J. Pronovost
2015	A	`conf`	FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs. FAST Da Zheng, Disa Mhembere, Randal C. Burns, Joshua T. Vogelstein, Carey E. Priebe, Alexander S. Szalay
2015	J	`jnl`	Shuffled Graph Classification: Theory and Connectome Applications. J. Classif. Joshua T. Vogelstein, Carey E. Priebe
2015	J	`jnl`	Spectral clustering for divide-and-conquer graph matching. Parallel Comput. Vince Lyzinski, Daniel L. Sussman, Donniell E. Fishkind, Henry Pao, Li Chen, Joshua T. Vogelstein, Youngser Park, Carey E. Priebe
2014	J	`jnl`	Active Community Detection in Massive Graphs. CoRR Heng Wang, Da Zheng, Randal C. Burns, Carey E. Priebe
2014	J	`jnl`	An Automated Images-to-Graphs Pipeline for High Resolution Connectomics. CoRR 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
2014	J	`jnl`	Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs. IEEE Trans. Pattern Anal. Mach. Intell. Daniel L. Sussman, Minh Tang, Carey E. Priebe
2014	J	`jnl`	Generalized canonical correlation analysis for classification. J. Multivar. Anal. Cencheng Shen, Ming Sun, Minh Tang, Carey E. Priebe
2014	J	`jnl`	Locality Statistics for Anomaly Detection in Time Series of Graphs. IEEE Trans. Signal Process. Heng Wang, Minh Tang, Youngser Park, Carey E. Priebe
2014	J	`jnl`	Seeded graph matching for correlated Erdös-Rényi graphs. J. Mach. Learn. Res. Vince Lyzinski, Donniell E. Fishkind, Carey E. Priebe
2013	J	`jnl`	Anomaly Detection in Time Series of Graphs using Fusion of Graph Invariants. IEEE J. Sel. Top. Signal Process. Youngser Park, Carey E. Priebe, Abdou Youssef
2013	J	`jnl`	Attribute Fusion in a Latent Process Model for Time Series of Graphs. IEEE Trans. Signal Process. Minh Tang, Youngser Park, Nam H. Lee, Carey E. Priebe
2013	J	`jnl`	Computing Scalable Multivariate Glocal Invariants of Large (Brain-) Graphs. CoRR 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
2013	—	`conf`	Computing scalable multivariate glocal invariants of large (brain-) graphs. GlobalSIP 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
2013	J	`jnl`	Consistent Adjacency-Spectral Partitioning for the Stochastic Block Model When the Model Parameters Are Unknown. SIAM J. Matrix Anal. Appl. Donniell E. Fishkind, Daniel L. Sussman, Minh Tang, Joshua T. Vogelstein, Carey E. Priebe
2013	J	`jnl`	Efficiency investigation of manifold matching for text document classification. Pattern Recognit. Lett. Ming Sun, Carey E. Priebe
2013	J	`jnl`	Generalized canonical correlation analysis for disparate data fusion. Pattern Recognit. Lett. Ming Sun, Carey E. Priebe, Minh Tang
2013	J	`jnl`	Graph Classification Using Signal-Subgraphs: Applications in Statistical Connectomics. IEEE Trans. Pattern Anal. Mach. Intell. Joshua T. Vogelstein, William R. Gray Roncal, R. Jacob Vogelstein, Carey E. Priebe
2013	—	`conf`	Inference in time series of graphs using locality statistics. GlobalSIP Heng Wang, Minh Tang, Carey E. Priebe, Youngser Park
2013	—	`conf`	Metric Space Structures for Computational Anatomy. MLMI Jianqiao Feng, Xiaoying Tang, Minh Tang, Carey E. Priebe, Michael I. Miller
2013	J	`jnl`	On Latent Position Inference from Doubly Stochastic Messaging Activities. Multiscale Model. Simul. Nam H. Lee, Jordan Yoder, Minh Tang, Carey E. Priebe
2012	—	`conf`	A Comparison of Graph Embedding Methods for Vertex Nomination. ICMLA (1) Ming Sun, Minh Tang, Carey E. Priebe
2012	—	`conf`	A bootstrap interval estimator for Bayes' classification error. SSP Chad M. Hawes, Carey E. Priebe
2012	J	`jnl`	Fusion and inference from multiple data sources in a commensurate space. Stat. Anal. Data Min. Zhiliang Ma, David J. Marchette, Carey E. Priebe
2012	J	`jnl`	Generalized Canonical Correlation Analysis for Disparate Data Fusion CoRR Ming Sun, Carey E. Priebe, Minh Tang
2012	J	`jnl`	Quantitative Horizon Scanning for Mitigating Technological Surprise: Detecting the Potential for Collaboration at the Interface. Stat. Anal. Data Min. Carey E. Priebe, Jeffrey L. Solka, David J. Marchette, Avory C. Bryant
2012	J	`jnl`	Vertex Nomination via Content and Context CoRR Glen A. Coppersmith, Carey E. Priebe
2011	Misc	`conf`	Anomaly detection for random graphs using distributions of vertex invariants. CISS Nash M. Borges, Glen A. Coppersmith, Gerard G. L. Meyer, Carey E. Priebe
2011	J	`jnl`	Fast Inexact Graph Matching with Applications in Statistical Connectomics CoRR Joshua T. Vogelstein, John M. Conroy, Louis J. Podrazik, Steven G. Kratzer, Donniell E. Fishkind, R. Jacob Vogelstein, Carey E. Priebe
2011	J	`jnl`	Sensor information monotonicity in disambiguation protocols. J. Oper. Res. Soc. Xugang Ye, Donniell E. Fishkind, Lowell Abrams, Carey E. Priebe
2011	J	`jnl`	The Effect of Model Misspecification on Semi-Supervised Classification. IEEE Trans. Pattern Anal. Mach. Intell. Ting Yang, Carey E. Priebe
2010	J	`jnl`	A Graph-Search Based Navigation Algorithm for Traversing A Potentially Hazardous Area with Disambiguation. Int. J. Oper. Res. Inf. Syst. Xugang Ye, Carey E. Priebe
2010	J	`jnl`	Dimensionality Reduction on the Cartesian Product of Embeddings of Multiple Dissimilarity Matrices. J. Classif. Zhiliang Ma, Adam Cardinal-Stakenas, Youngser Park, Michael W. Trosset, Carey E. Priebe
2010	J	`jnl`	Efficient, optimal stochastic-action selection when limited by an action budget. Math. Methods Oper. Res. John Blatz, Donniell E. Fishkind, Carey E. Priebe
2010	Misc	`conf`	Random attributed graphs for statistical inference from content and context. ICASSP Allen L. Gorin, Carey E. Priebe, John Grothendieck
2010	J	`jnl`	Statistical inference on attributed random graphs: Fusion of graph features and content. Comput. Stat. Data Anal. John Grothendieck, Carey E. Priebe, Allen L. Gorin
2010	J	`jnl`	Statistical inference on attributed random graphs: Fusion of graph features and content: An experiment on time series of Enron graphs. Comput. Stat. Data Anal. Carey E. Priebe, Youngser Park, David J. Marchette, John M. Conroy, John Grothendieck, Allen L. Gorin
2009	J	`jnl`	On the monotone likelihood ratio property for the convolution of independent binomial random variables. Discret. Appl. Math. Andrey Rukhin, Carey E. Priebe, Dennis M. Healy Jr.
2009	—	`conf`	Statistical Analysis of Hippocampus Shape Using a Modified Mann-Whitney-Wilcoxon Test. FGIT-BSBT Nikhil R. Mohan, Carey E. Priebe, Youngser Park, Majnu John
2008	B	`conf`	Computation of Csiszár's mutual Information of order α. ISIT Damianos G. Karakos, Sanjeev Khudanpur, Carey E. Priebe
2008	J	`jnl`	Iterative Denoising. Comput. Stat. Kendall E. Giles, Michael W. Trosset, David J. Marchette, Carey E. Priebe
2008	J	`jnl`	On the anomalous behaviour of a class of locality statistics. Discret. Math. Carey E. Priebe, Walter D. Wallis
2008	J	`jnl`	Predicting unobserved links in incompletely observed networks. Comput. Stat. Data Anal. David J. Marchette, Carey E. Priebe
2008	J	`jnl`	Semisupervised learning from dissimilarity data. Comput. Stat. Data Anal. Michael W. Trosset, Carey E. Priebe, Youngser Park, Michael I. Miller
2008	J	`jnl`	The out-of-sample problem for classical multidimensional scaling. Comput. Stat. Data Anal. Michael W. Trosset, Carey E. Priebe
2007	J	`jnl`	A data-adaptive methodology for finding an optimal weighted generalized Mann-Whitney-Wilcoxon statistic. Comput. Stat. Data Anal. Majnu John, Carey E. Priebe
2007	—	`conf`	Cross-Instance Tuning of Unsupervised Document Clustering Algorithms. HLT-NAACL Damianos G. Karakos, Jason Eisner, Sanjeev Khudanpur, Carey E. Priebe
2007	J	`jnl`	Disambiguation Protocols Based on Risk Simulation. IEEE Trans. Syst. Man Cybern. Part A Donniell E. Fishkind, Carey E. Priebe, Kendall E. Giles, L. N. Smith, Vural Aksakalli
2007	—	`conf`	Hippocampus Shape-Space Analysis of Clinically Depressed, High Risk, and Control Populations. FBIT Youngser Park, Carey E. Priebe, Kelly N. Botteron, Michael I. Miller, Nikhil R. Mohan
2007	—	`conf`	Iterative Denoising using Jensen-Renyi Divergences with an Application to Unsupervised Document Categorization. ICASSP (2) Damianos G. Karakos, Sanjeev Khudanpur, Jason Eisner, Carey E. Priebe
2007	—	`conf`	Validation of Alternating Kernel Mixture Method Based Segmentation of the Human Brain. FBIT Nayoung A. Lee, Carey E. Priebe, J. Tilak Ratnanather, Michael I. Miller
2006	J	`jnl`	A new family of proximity graphs: Class cover catch digraphs. Discret. Appl. Math. Jason DeVinney, Carey E. Priebe
2006	J	`jnl`	On the distribution of the domination number of a new family of parametrized random digraphs. Model. Assist. Stat. Appl. Elvan Ceyhan, Carey E. Priebe
2006	J	`jnl`	Relative density of the random r. Comput. Stat. Data Anal. Elvan Ceyhan, Carey E. Priebe, John C. Wierman
2006	J	`jnl`	Segmenting magnetic resonance images via hierarchical mixture modelling. Comput. Stat. Data Anal. Carey E. Priebe, Michael I. Miller, J. Tilak Ratnanather
2005	J	`jnl`	A Hierarchical Methodology for Class Detection Problems with Skewed Priors. J. Classif. Christopher K. Eveland, Diego A. Socolinsky, Carey E. Priebe, David J. Marchette
2005	B	`conf`	Biomedical Informatics Research Network: Integrating Multi-Site Neuroimaging Data Acquisition, Data Sharing and Brain Morphometric Processing. CBMS Jorge Jovicich, Mirza Faisal Beg, Steve Pieper, Carey E. Priebe, Michael I. Miller, Randy L. Buckner, Bruce R. Rosen
2005	J	`jnl`	Scan Statistics on Enron Graphs. Comput. Math. Organ. Theory Carey E. Priebe, John M. Conroy, David J. Marchette, Youngser Park
2005	—	`conf`	Unsupervised classification via decision trees: an information-theoretic perspective. ICASSP (5) Damianos G. Karakos, Sanjeev Khudanpur, Jason Eisner, Carey E. Priebe
2004	J	`jnl`	Integrated Sensing and Processing Decision Trees. IEEE Trans. Pattern Anal. Mach. Intell. Carey E. Priebe, David J. Marchette, Dennis M. Healy Jr.
2004	J	`jnl`	The generalized spherical homeomorphism theorem for digital images. IEEE Trans. Medical Imaging Lowell Abrams, Donniell E. Fishkind, Carey E. Priebe
2003	J	`jnl`	A likelihood-MPEC approach to target classification. Math. Program. Timothy E. Olson, Jong-Shi Pang, Carey E. Priebe
2003	J	`jnl`	Characterizing the scale dimension of a high-dimensional classification problem. Pattern Recognit. David J. Marchette, Carey E. Priebe
2003	J	`jnl`	Class cover catch digraphs for latent class discovery in gene expression monitoring by DNA microarrays. Comput. Stat. Data Anal. Carey E. Priebe, Jeffrey L. Solka, David J. Marchette, B. Ted Clark
2003	J	`jnl`	Classification Using Class Cover Catch Digraphs. J. Classif. Carey E. Priebe, David J. Marchette, Jason DeVinney, Diego A. Socolinsky
2003	B	`conf`	Semi-automated segmentation of cortical subvolumes via hierarchical mixture modeling. Image Processing J. Tilak Ratnanather, Carey E. Priebe, Michael I. Miller
2002	J	`jnl`	A Proof of the Spherical Homeomorphism Conjecture for Surfaces. IEEE Trans. Medical Imaging Lowell Abrams, Donniell E. Fishkind, Carey E. Priebe
2002	J	`jnl`	A Visualization Framework for the Analysis of Hyperdimensional Data. Int. J. Image Graph. Jeffrey L. Solka, Carey E. Priebe, Barton T. Clark
2001	J	`jnl`	Olfactory Classification via Interpoint Distance Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Carey E. Priebe
2001	J	`jnl`	Spatial Scan Density Estimates. Technometrics Carey E. Priebe, Dalei Chen
2000	J	`jnl`	Exact mean and mean squared error of the smoothed bootstrap mean integrated squared error estimator. Comput. Stat. Dominic Lee, Carey E. Priebe
1998	—	`conf`	Detection of Microcalcification Clusters in Digital Mammography Via the Spatial Scan Statistic with Stochastic Scan Partitions. Digital Mammography / IWDM Carey E. Priebe
1998	J	`jnl`	Mixture structure analysis using the Akaike Information Criterion and the bootstrap. Stat. Comput. Jeffrey L. Solka, Edward J. Wegman, Carey E. Priebe, Wendy L. Poston, George W. Rogers
1997	J	`jnl`	An analysis of local feature extraction in digital mammography. Pattern Recognit. David J. Marchette, Richard A. Lorey, Carey E. Priebe
1997	J	`jnl`	Segmentation of Random Fields Via Borrowed Strength Density Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Carey E. Priebe, David J. Marchette, George W. Rogers
1995	J	`jnl`	A PDP Approach to Localized Fractal Dimension Computation with Segmentation Boundaries. Simul. George W. Rogers, Jeffrey L. Solka, Carey E. Priebe
1995	J	`jnl`	Mammographic Computer-Assisted Diagnosis using Computational Statistics Pattern Recognition. Real Time Imaging Richard A. Lorey, Jeffrey L. Solka, George W. Rogers, David J. Marchette, Carey E. Priebe
1994	J	`jnl`	A qualitative analysis of the resistive grid kernel estimator. Pattern Recognit. Lett. Wendy L. Poston, George W. Rogers, Carey E. Priebe, Jeffrey L. Solka
1994	B	`conf`	The detection of micro-calcifications in mammographic images using high dimensional features. CBMS Jeffrey L. Solka, Wendy L. Poston, Carey E. Priebe, George W. Rogers, Richard A. Lorey, David J. Marchette, Kevin S. Woods, Kevin W. Bowyer
1993	J	`jnl`	A self-organizing network for computing a posteriori conditional class probability. IEEE Trans. Syst. Man Cybern. George W. Rogers, Jeffrey L. Solka, D. Stephen Malyevac, Carey E. Priebe
1993	J	`jnl`	Adaptive mixture density estimation. Pattern Recognit. Carey E. Priebe, David J. Marchette
1992	J	`jnl`	An initial assessment of discriminant surface complexity for power law features. Simul. Jeffrey L. Solka, Carey E. Priebe, George W. Rogers
1991	J	`jnl`	Adaptive mixtures: Recursive nonparametric pattern recognition. Pattern Recognit. Carey E. Priebe, David J. Marchette
1988	—	`conf`	Temporal pattern recognition. ICNN Chen-Han Sung, Carey E. Priebe