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• 2026
• 
  [j116]
  Cencheng Shen,Darren Edge,Jonathan Larson,Carey E. Priebe:
  Explaining categorical feature interactions using graph covariance and LLMs.Appl. Netw. Sci.11(1):12 (2026)
• 
  [j115]
  Cencheng Shen,Yuexiao Dong,Carey E. Priebe,Jonathan Larson,Ha Trinh,Youngser Park:
  Principal Graph Encoder Embedding and Principal Community Detection.IEEE Trans. Netw. Sci. Eng.13:424-437 (2026)
• 
  [j114]
  Aranyak Acharyya,Francesco Sanna Passino,Michael W. Trosset,Carey E. Priebe:
  Convergence Guarantees for Response Prediction for Latent Structure Network Time Series.IEEE Trans. Netw. Sci. Eng.13:878-888 (2026)
• 
  [i86]
  Yi Gu,Lingyou Pang,Xiangkun Ye,Tianyu Wang,Jianyu Lin,Carey E. Priebe,Alexander Aue:
  SIGMA: Scalable Spectral Insights for LLM Model Collapse.CoRRabs/2601.03385 (2026)
• 2025
• 
  [j113]
  Guodong Chen,Jesús Arroyo,Avanti Athreya,Joshua Cape,Joshua T. Vogelstein,Youngser Park,Christopher M. White,Jonathan Larson,Weiwei Yang,Carey E. Priebe:
  Multiple network embedding for anomaly detection in time series of graphs.Comput. Stat. Data Anal.203:108070 (2025)
• 
  [j112]
  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:
  Dynamic Silos: Increased Modularity and Decreased Stability in Intraorganizational Communication Networks During the COVID-19 Pandemic.Manag. Sci.71(4):3428-3448 (2025)
• 
  [j111]
  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:
  Simple Lifelong Learning Machines.IEEE Trans. Pattern Anal. Mach. Intell.47(11):10033-10046 (2025)
• 
  [j110]
  Cencheng Shen,Jonathan Larson,Ha Trinh,Carey E. Priebe:
  Refined graph encoder embedding via self-training and latent community recovery.Soc. Netw. Anal. Min.15(1):14 (2025)
• 
  [c36]
  Hayden S. Helm,Aranyak Acharyya,Youngser Park,Brandon Duderstadt,Carey E. Priebe:
  Statistical inference on black-box generative models in the data kernel perspective space.ACL (Findings)2025:3955-3970
• 
  [i85]
  Cencheng Shen,Darren Edge,Jonathan Larson,Carey E. Priebe:
  Explaining Categorical Feature Interactions Using Graph Covariance and LLMs.CoRRabs/2501.14932 (2025)
• 
  [i84]
  Cencheng Shen,Yuexiao Dong,Carey E. Priebe,Jonathan Larson,Ha Trinh,Youngser Park:
  Principal Graph Encoder Embedding and Principal Community Detection.CoRRabs/2501.14939 (2025)
• 
  [i83]
  Hayden S. Helm,Tianyi Chen,Harvey McGuinness,Paige Lee,Brandon Duderstadt,Carey E. Priebe:
  Toward a digital twin of U.S. Congress.CoRRabs/2505.00006 (2025)
• 
  [i82]
  Michael W. Trosset,Kaiyi Tan,Minh Tang,Carey E. Priebe:
  Out-of-Sample Embedding with Proximity Data: Projection versus Restricted Reconstruction.CoRRabs/2505.06756 (2025)
• 
  [i81]
  Edward L. Wang,Tianyu Wang,Avanti Athreya,Vince Lyzinski,Carey E. Priebe:
  Gaussian mixture models as a proxy for interacting language models.CoRRabs/2506.00077 (2025)
• 
  [i80]
  Tianyu Wang,Lingyou Pang,Akira Horiguchi,Carey E. Priebe:
  LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs.CoRRabs/2506.15690 (2025)
• 
  [i79]
  Shiyu Chen,Cencheng Shen,Youngser Park,Carey E. Priebe:
  Graph Neural Networks Powered by Encoder Embedding for Improved Node Learning.CoRRabs/2507.11732 (2025)
• 
  [i78]
  Aranyak Acharyya,Carey E. Priebe,Hayden S. Helm:
  Testing for LLM response differences: the case of a composite null consisting of semantically irrelevant query perturbations.CoRRabs/2509.10963 (2025)
• 
  [i77]
  Lingyou Pang,Lei Huang,Jianyu Lin,Tianyu Wang,Akira Horiguchi,Alexander Aue,Carey E. Priebe:
  Unsupervised Conformal Inference: Bootstrapping and Alignment to Control LLM Uncertainty.CoRRabs/2509.23002 (2025)
• 
  [i76]
  Aranyak Acharyya,Joshua Agterberg,Youngser Park,Carey E. Priebe:
  Concentration bounds on response-based vector embeddings of black-box generative models.CoRRabs/2511.08307 (2025)
• 
  [i75]
  Cencheng Shen,Yuexiao Dong,Carey E. Priebe:
  Decision Tree Embedding by Leaf-Means.CoRRabs/2512.01819 (2025)
• 2024
• 
  [j109]
  Anton Alyakin,Joshua Agterberg,Hayden S. Helm,Carey E. Priebe:
  Correcting a nonparametric two-sample graph hypothesis test for graphs with different numbers of vertices with applications to connectomics.Appl. Netw. Sci.9(1):1 (2024)
• 
  [j108]
  Cencheng Shen,Carey E. Priebe,Jonathan Larson,Ha Trinh:
  Synergistic graph fusion via encoder embedding.Inf. Sci.678:120912 (2024)
• 
  [j107]
  Cencheng Shen,Shangsi Wang,Alexandra Badea,Carey E. Priebe,Joshua T. Vogelstein:
  Discovering the signal subgraph: An iterative screening approach on graphs.Pattern Recognit. Lett.184:97-102 (2024)
• 
  [j106]
  Cencheng Shen,Jonathan Larson,Ha Trinh,Xihan Qin,Youngser Park,Carey E. Priebe:
  Discovering Communication Pattern Shifts in Large-Scale Labeled Networks Using Encoder Embedding and Vertex Dynamics.IEEE Trans. Netw. Sci. Eng.11(2):2100-2109 (2024)
• 
  [j105]
  Zhirui Li,Ben Johnson,Daniel L. Sussman,Carey E. Priebe,Vince Lyzinski:
  Gotta Match 'Em All: Solution Diversification in Graph Matching Matched Filters.IEEE Trans. Signal Inf. Process. over Networks10:752-764 (2024)
• 
  [c35]
  Hayden S. Helm,Brandon Duderstadt,Youngser Park,Carey E. Priebe:
  Tracking the perspectives of interacting language models.EMNLP2024:1508-1519
• 
  [c34]
  Ariel Lubonja,Cencheng Shen,Carey E. Priebe,Randal C. Burns:
  Edge-Parallel Graph Encoder Embedding.IPDPS (Workshops)2024:482-485
• 
  [i74]
  Ariel Lubonja,Cencheng Shen,Carey E. Priebe,Randal C. Burns:
  Edge-Parallel Graph Encoder Embedding.CoRRabs/2402.04403 (2024)
• 
  [i73]
  Michael W. Trosset,Carey E. Priebe:
  Continuous Multidimensional Scaling.CoRRabs/2402.04436 (2024)
• 
  [i72]
  Cencheng Shen,Jonathan Larson,Ha Trinh,Carey E. Priebe:
  Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery.CoRRabs/2405.12797 (2024)
• 
  [i71]
  Robert Osazuwa Ness,Katie Matton,Hayden S. Helm,Sheng Zhang,Junaid Bajwa,Carey E. Priebe,Eric Horvitz:
  MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering.CoRRabs/2406.06573 (2024)
• 
  [i70]
  Hayden S. Helm,Brandon Duderstadt,Youngser Park,Carey E. Priebe:
  Tracking the perspectives of interacting language models.CoRRabs/2406.11938 (2024)
• 
  [i69]
  Aranyak Acharyya,Michael W. Trosset,Carey E. Priebe,Hayden S. Helm:
  Consistent estimation of generative model representations in the data kernel perspective space.CoRRabs/2409.17308 (2024)
• 
  [i68]
  Konstantinos Pantazis,Michael W. Trosset,William N. Frost,Carey E. Priebe,Vince Lyzinski:
  Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings.CoRRabs/2409.17544 (2024)
• 
  [i67]
  Hayden S. Helm,Aranyak Acharyya,Brandon Duderstadt,Youngser Park,Carey E. Priebe:
  Embedding-based statistical inference on generative models.CoRRabs/2410.01106 (2024)
• 
  [i66]
  Harvey McGuinness,Tianyu Wang,Carey E. Priebe,Hayden S. Helm:
  Investigating social alignment via mirroring in a system of interacting language models.CoRRabs/2412.06834 (2024)
• 2023
• 
  [j104]
  Cong Mu,Youngser Park,Carey E. Priebe:
  Dynamic network sampling for community detection.Appl. Netw. Sci.8(1):5 (2023)
• 
  [j103]
  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:
  Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror.Appl. Netw. Sci.8(1):45 (2023)
• 
  [j102]
  Aranyak Acharyya,Joshua Agterberg,Michael W. Trosset,Youngser Park,Carey E. Priebe:
  Semisupervised regression in latent structure networks on unknown manifolds.Appl. Netw. Sci.8(1):75 (2023)
• 
  [j101]
  Avanti Athreya,Zachary Lubberts,Carey E. Priebe,Youngser Park,Minh Tang,Vince Lyzinski,Michael J. Kane,Bryan W. Lewis:
  Numerical Tolerance for Spectral Decompositions of Random Matrices and Applications to Network Inference.J. Comput. Graph. Stat.32(1):145-156 (2023)
• 
  [j100]
  Gecia Bravo Hermsdorff,Lee M. Gunderson,Pierre-André G. Maugis,Carey E. Priebe:
  Quantifying Network Similarity using Graph Cumulants.J. Mach. Learn. Res.24:187:1-187:27 (2023)
• 
  [j99]
  Cencheng Shen,Qizhe Wang,Carey E. Priebe:
  One-Hot Graph Encoder Embedding.IEEE Trans. Pattern Anal. Mach. Intell.45(6):7933-7938 (2023)
• 
  [j98]
  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:
  Distance-based positive and unlabeled learning for ranking.Pattern Recognit.134:109085 (2023)
• 
  [j97]
  Al-Fahad M. Al-Qadhi,Carey E. Priebe,Hayden S. Helm,Vince Lyzinski:
  Subgraph nomination: query by example subgraph retrieval in networks.Stat. Comput.33(2):52 (2023)
• 
  [c33]
  Cencheng Shen,Youngser Park,Carey E. Priebe:
  Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection.ADMIT2023:13-18
• 
  [c32]
  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:
  Prospective Learning: Principled Extrapolation to the Future.CoLLAs2023:347-357
• 
  [c31]
  Qingyang Wang,Michael A. Powell,Ali Geisa,Eric Bridgeford,Carey E. Priebe,Joshua T. Vogelstein:
  Why do networks have inhibitory/negative connections?ICCV2023:22494-22502
• 
  [c30]
  Ashwin De Silva,Rahul Ramesh,Carey E. Priebe,Pratik Chaudhari,Joshua T. Vogelstein:
  The Value of Out-of-Distribution Data.ICML2023:7366-7389
• 
  [i65]
  Cencheng Shen,Youngser Park,Carey E. Priebe:
  Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection.CoRRabs/2301.11290 (2023)
• 
  [i64]
  Hayden S. Helm,Weiwei Yang,Ashwin De Silva,Joshua T. Vogelstein,Carey E. Priebe:
  Approximately optimal domain adaptation with Fisher's Linear Discriminant Analysis.CoRRabs/2302.14186 (2023)
• 
  [i63]
  Cencheng Shen,Carey E. Priebe,Jonathan Larson,Ha Trinh:
  Synergistic Graph Fusion via Encoder Embedding.CoRRabs/2303.18051 (2023)
• 
  [i62]
  Cencheng Shen,Jonathan Larson,Ha Trinh,Xihan Qin,Youngser Park,Carey E. Priebe:
  Discovering Communication Pattern Shifts in Large-Scale Networks using Encoder Embedding and Vertex Dynamics.CoRRabs/2305.02381 (2023)
• 
  [i61]
  Aranyak Acharyya,Joshua Agterberg,Michael W. Trosset,Youngser Park,Carey E. Priebe:
  Semisupervised regression in latent structure networks on unknown manifolds.CoRRabs/2305.02473 (2023)
• 
  [i60]
  Brandon Duderstadt,Hayden S. Helm,Carey E. Priebe:
  Comparing Foundation Models using Data Kernels.CoRRabs/2305.05126 (2023)
• 
  [i59]
  Zhirui Li,Ben Johnson,Daniel L. Sussman,Carey E. Priebe,Vince Lyzinski:
  Gotta match 'em all: Solution diversification in graph matching matched filters.CoRRabs/2308.13451 (2023)
• 
  [i58]
  Hayden S. Helm,Carey E. Priebe,Weiwei Yang:
  A Statistical Turing Test for Generative Models.CoRRabs/2309.08913 (2023)
• 2022
• 
  [j96]
  Konstantinos Pantazis,Daniel L. Sussman,Youngser Park,Zhirui Li,Carey E. Priebe,Vince Lyzinski:
  Multiplex graph matching matched filters.Appl. Netw. Sci.7(1):29 (2022)
• 
  [j95]
  Runbing Zheng,Vince Lyzinski,Carey E. Priebe,Minh Tang:
  Vertex Nomination Between Graphs via Spectral Embedding and Quadratic Programming.J. Comput. Graph. Stat.31(4):1254-1268 (2022)
• 
  [j94]
  Oscar Hernan Madrid Padilla,Yi Yu,Carey E. Priebe:
  Change point localization in dependent dynamic nonparametric random dot product graphs.J. Mach. Learn. Res.23:234:1-234:59 (2022)
• 
  [j93]
  Carey E. Priebe,Cencheng Shen,Ningyuan Huang,Tianyi Chen:
  A Simple Spectral Failure Mode for Graph Convolutional Networks.IEEE Trans. Pattern Anal. Mach. Intell.44(11):8689-8693 (2022)
• 
  [j92]
  Joshua Agterberg,Zachary Lubberts,Carey E. Priebe:
  Entrywise Estimation of Singular Vectors of Low-Rank Matrices With Heteroskedasticity and Dependence.IEEE Trans. Inf. Theory68(7):4618-4650 (2022)
• 
  [j91]
  Cong Mu,Angelo Mele,Lingxin Hao,Joshua Cape,Avanti Athreya,Carey E. Priebe:
  On Spectral Algorithms for Community Detection in Stochastic Blockmodel Graphs With Vertex Covariates.IEEE Trans. Netw. Sci. Eng.9(5):3373-3384 (2022)
• 
  [c29]
  Rajeev Yasarla,Carey E. Priebe,Vishal M. Patel:
  ART-SS: An Adaptive Rejection Technique for Semi-supervised Restoration for Adverse Weather-Affected Images.ECCV (18)2022:699-718
• 
  [c28]
  Kelly Marchisio,Ali Saad-Eldin,Kevin Duh,Carey E. Priebe,Philipp Koehn:
  Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport.EMNLP2022:2545-2561
• 
  [i57]
  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:
  Prospective Learning: Back to the Future.CoRRabs/2201.07372 (2022)
• 
  [i56]
  Guodong Chen,Hayden S. Helm,Kate Lytvynets,Weiwei Yang,Carey E. Priebe:
  Mental State Classification Using Multi-graph Features.CoRRabs/2203.00516 (2022)
• 
  [i55]
  Rajeev Yasarla,Carey E. Priebe,Vishal Patel:
  ART-SS: An Adaptive Rejection Technique for Semi-Supervised restoration for adverse weather-affected images.CoRRabs/2203.09275 (2022)
• 
  [i54]
  Li Chen,Ningyuan Huang,Cong Mu,Hayden S. Helm,Kate Lytvynets,Weiwei Yang,Carey E. Priebe:
  Deep Learning with Label Noise: A Hierarchical Approach.CoRRabs/2205.14299 (2022)
• 
  [i53]
  Ashwin De Silva,Rahul Ramesh,Carey E. Priebe,Pratik Chaudhari,Joshua T. Vogelstein:
  The Value of Out-of-Distribution Data.CoRRabs/2208.10967 (2022)
• 
  [i52]
  Cong Mu,Youngser Park,Carey E. Priebe:
  Dynamic Network Sampling for Community Detection.CoRRabs/2208.13921 (2022)
• 
  [i51]
  Ningyuan Huang,Soledad Villar,Carey E. Priebe,Da Zheng,Chengyue Huang,Lin Yang,Vladimir Braverman:
  From Local to Global: Spectral-Inspired Graph Neural Networks.CoRRabs/2209.12054 (2022)
• 
  [i50]
  Kelly Marchisio,Ali Saad-Eldin,Kevin Duh,Carey E. Priebe,Philipp Koehn:
  Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport.CoRRabs/2210.14378 (2022)
• 
  [i49]
  Carey E. Priebe,Ningyuan Huang,Soledad Villar,Cong Mu,Li Chen:
  Deep Learning is Provably Robust to Symmetric Label Noise.CoRRabs/2210.15083 (2022)
• 2021
• 
  [j90]
  Donniell E. Fishkind,Felix Parker,Hamilton Sawczuk,Lingyao Meng,Eric Bridgeford,Avanti Athreya,Carey E. Priebe,Vince Lyzinski:
  The phantom alignment strength conjecture: practical use of graph matching alignment strength to indicate a meaningful graph match.Appl. Netw. Sci.6(1):62 (2021)
• 
  [j89]
  Congyuan Yang,Carey E. Priebe,Youngser Park,David J. Marchette:
  Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering.J. Comput. Graph. Stat.30(2):422-441 (2021)
• 
  [j88]
  Jesús Arroyo,Daniel L. Sussman,Carey E. Priebe,Vince Lyzinski:
  Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks.J. Comput. Graph. Stat.30(4):1111-1123 (2021)
• 
  [j87]
  Jesús Arroyo,Avanti Athreya,Joshua Cape,Guodong Chen,Carey E. Priebe,Joshua T. Vogelstein:
  Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace.J. Mach. Learn. Res.22:142:1-142:49 (2021)
• 
  [j86]
  Keith D. Levin,Fred Roosta,Minh Tang,Michael W. Mahoney,Carey E. Priebe:
  Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings.J. Mach. Learn. Res.22:194:1-194:59 (2021)
• 
  [j85]
  Shangsi Wang,Jesús Arroyo,Joshua T. Vogelstein,Carey E. Priebe:
  Joint Embedding of Graphs.IEEE Trans. Pattern Anal. Mach. Intell.43(4):1324-1336 (2021)
• 
  [j84]
  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:
  Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics.PLoS Comput. Biol.17(9) (2021)
• 
  [j83]
  Jesús Arroyo,Carey E. Priebe,Vince Lyzinski:
  Graph Matching Between Bipartite and Unipartite Networks: To Collapse, or Not to Collapse, That Is the Question.IEEE Trans. Netw. Sci. Eng.8(4):3019-3033 (2021)
• 
  [c27]
  Kelly Marchisio,Youngser Park,Ali Saad-Eldin,Anton Alyakin,Kevin Duh,Carey E. Priebe,Philipp Koehn:
  An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces.EMNLP (Findings)2021:738-749
• 
  [i48]
  Al-Fahad M. Al-Qadhi,Carey E. Priebe,Hayden S. Helm,Vince Lyzinski:
  Subgraph nomination: Query by Example Subgraph Retrieval in Networks.CoRRabs/2101.12430 (2021)
• 
  [i47]
  Hayden S. Helm,Weiwei Yang,Sujeeth Bharadwaj,Kate Lytvynets,Oriana Riva,Christopher M. White,Ali Geisa,Carey E. Priebe:
  Inducing a hierarchy for multi-class classification problems.CoRRabs/2102.10263 (2021)
• 
  [i46]
  Zachary Lubberts,Avanti Athreya,Youngser Park,Carey E. Priebe:
  Beyond the adjacency matrix: random line graphs and inference for networks with edge attributes.CoRRabs/2103.14726 (2021)
• 
  [i45]
  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:
  Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic.CoRRabs/2104.00641 (2021)
• 
  [i44]
  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:
  Leveraging semantically similar queries for ranking via combining representations.CoRRabs/2106.12621 (2021)
• 
  [i43]
  Gecia Bravo Hermsdorff,Lee M. Gunderson,Pierre-André G. Maugis,Carey E. Priebe:
  A principled (and practical) test for network comparison.CoRRabs/2107.11403 (2021)
• 
  [i42]
  Kelly Marchisio,Youngser Park,Ali Saad-Eldin,Anton Alyakin,Kevin Duh,Carey E. Priebe,Philipp Koehn:
  An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces.CoRRabs/2109.12640 (2021)
• 
  [i41]
  Cencheng Shen,Qizhe Wang,Carey E. Priebe:
  Graph Encoder Embedding.CoRRabs/2109.13098 (2021)
• 
  [i40]
  Ali Geisa,Ronak D. Mehta,Hayden S. Helm,Jayanta Dey,Eric Eaton,Carey E. Priebe,Joshua T. Vogelstein:
  Towards a theory of out-of-distribution learning.CoRRabs/2109.14501 (2021)
• 
  [i39]
  Ali Saad-Eldin,Benjamin D. Pedigo,Carey E. Priebe,Joshua T. Vogelstein:
  Graph Matching via Optimal Transport.CoRRabs/2111.05366 (2021)
• 2020
• 
  [j82]
  Jordan Yoder,Li Chen,Henry Pao,Eric Bridgeford,Keith D. Levin,Donniell E. Fishkind,Carey E. Priebe,Vince Lyzinski:
  Vertex nomination: The canonical sampling and the extended spectral nomination schemes.Comput. Stat. Data Anal.145:106916 (2020)
• 
  [j81]
  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:
  Sparse Projection Oblique Randomer Forests.J. Mach. Learn. Res.21:104:1-104:39 (2020)
• 
  [j80]
  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:
  Variability and heritability of mouse brain structure: Microscopic MRI atlases and connectomes for diverse strains.NeuroImage222:117274 (2020)
• 
  [j79]
  Daniel L. Sussman,Youngser Park,Carey E. Priebe,Vince Lyzinski:
  Matched Filters for Noisy Induced Subgraph Detection.IEEE Trans. Pattern Anal. Mach. Intell.42(11):2887-2900 (2020)
• 
  [j78]
  Heather G. Patsolic,Youngser Park,Vince Lyzinski,Carey E. Priebe:
  Vertex nomination via seeded graph matching.Stat. Anal. Data Min.13(3):229-244 (2020)
• 
  [j77]
  Cencheng Shen,Li Chen,Yuexiao Dong,Carey E. Priebe:
  Sparse Representation Classification Beyond ℓ1 Minimization and the Subspace Assumption.IEEE Trans. Inf. Theory66(8):5061-5071 (2020)
• 
  [c26]
  Meghana Madhyastha,Gongkai Li,Veronika Strnadová-Neeley,James Browne,Joshua T. Vogelstein,Randal C. Burns,Carey E. Priebe:
  Geodesic Forests.KDD2020:513-523
• 
  [i38]
  Jesús Arroyo,Carey E. Priebe,Vince Lyzinski:
  Graph matching between bipartite and unipartite networks: to collapse, or not to collapse, that is the question.CoRRabs/2002.01648 (2020)
• 
  [i37]
  Michael W. Trosset,Mingyue Gao,Minh Tang,Carey E. Priebe:
  Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs.CoRRabs/2004.07348 (2020)
• 
  [i36]
  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:
  A general approach to progressive intelligence.CoRRabs/2004.12908 (2020)
• 
  [i35]
  Keith D. Levin,Carey E. Priebe,Vince Lyzinski:
  On the role of features in vertex nomination: Content and context together are better (sometimes).CoRRabs/2005.02151 (2020)
• 
  [i34]
  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:
  Learning to rank via combining representations.CoRRabs/2005.10700 (2020)
• 
  [i33]
  Cong Mu,Angelo Mele,Lingxin Hao,Joshua Cape,Avanti Athreya,Carey E. Priebe:
  On identifying unobserved heterogeneity in stochastic blockmodel graphs with vertex covariates.CoRRabs/2007.02156 (2020)
• 
  [i32]
  Carey E. Priebe,Cencheng Shen,Ningyuan Huang,Tianyi Chen:
  A Simple Spectral Failure Mode for Graph Convolutional Networks.CoRRabs/2010.13152 (2020)
• 
  [i31]
  Runbing Zheng,Vince Lyzinski,Carey E. Priebe,Minh Tang:
  Vertex nomination between graphs via spectral embedding and quadratic programming.CoRRabs/2010.14622 (2020)
• 
  [i30]
  Hayden S. Helm,Ronak D. Mehta,Brandon Duderstadt,Weiwei Yang,Christopher M. White,Ali Geisa,Joshua T. Vogelstein,Carey E. Priebe:
  A partition-based similarity for classification distributions.CoRRabs/2011.06557 (2020)

• 2019
• 
  [j76]
  Vince Lyzinski,Keith D. Levin,Carey E. Priebe:
  On Consistent Vertex Nomination Schemes.J. Mach. Learn. Res.20:69:1-69:39 (2019)
• 
  [j75]
  Joshua Cape,Minh Tang,Carey E. Priebe:
  On spectral embedding performance and elucidating network structure in stochastic blockmodel graphs.Netw. Sci.7(3):269-291 (2019)
• 
  [j74]
  Donniell E. Fishkind,Sancar Adali,Heather G. Patsolic,Lingyao Meng,Digvijay Singh,Vince Lyzinski,Carey E. Priebe:
  Seeded graph matching.Pattern Recognit.87:203-215 (2019)
• 
  [j73]
  Donniell E. Fishkind,Lingyao Meng,Ao Sun,Carey E. Priebe,Vince Lyzinski:
  Alignment strength and correlation for graphs.Pattern Recognit. Lett.125:295-302 (2019)
• 
  [j72]
  Runze Tang,Michael D. Ketcha,Alexandra Badea,Evan D. Calabrese,Daniel S. Margulies,Joshua T. Vogelstein,Carey E. Priebe,Daniel L. Sussman:
  Connectome Smoothing via Low-Rank Approximations.IEEE Trans. Medical Imaging38(6):1446-1456 (2019)
• 
  [c25]
  Konstantinos Pantazis,Daniel L. Sussman,Youngser Park,Carey E. Priebe,Vince Lyzinski:
  Multiplex graph matching matched filters.IEEE BigData2019:4921-4927
• 
  [i29]
  Disa Mhembere,Da Zheng,Carey E. Priebe,Joshua T. Vogelstein,Randal C. Burns:
  clusterNOR: A NUMA-Optimized Clustering Framework.CoRRabs/1902.09527 (2019)
• 
  [i28]
  Congyuan Yang,Carey E. Priebe,Youngser Park,David J. Marchette:
  Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering.CoRRabs/1904.02926 (2019)
• 
  [i27]
  Joshua Agterberg,Youngser Park,Jonathan Larson,Christopher M. White,Carey E. Priebe,Vince Lyzinski:
  Vertex Nomination, Consistent Estimation, and Adversarial Modification.CoRRabs/1905.01776 (2019)
• 
  [i26]
  Cencheng Shen,Li Chen,Yuexiao Dong,Carey E. Priebe:
  Sparse Representation Classification via Screening for Graphs.CoRRabs/1906.01601 (2019)
• 
  [i25]
  Hayden S. Helm,Joshua T. Vogelstein,Carey E. Priebe:
  Vertex Classification on Weighted Networks.CoRRabs/1906.02881 (2019)
• 
  [i24]
  Jesús Arroyo,Avanti Athreya,Joshua Cape,Guodong Chen,Carey E. Priebe,Joshua T. Vogelstein:
  Inference for multiple heterogeneous networks with a common invariant subspace.CoRRabs/1906.10026 (2019)
• 
  [i23]
  Meghana Madhyastha,Percy Li,James Browne,Veronika Strnadová-Neeley,Carey E. Priebe,Randal C. Burns,Joshua T. Vogelstein:
  Geodesic Learning via Unsupervised Decision Forests.CoRRabs/1907.02844 (2019)
• 
  [i22]
  Disa Mhembere,Da Zheng,Carey E. Priebe,Joshua T. Vogelstein,Randal C. Burns:
  Graphyti: A Semi-External Memory Graph Library for FlashGraph.CoRRabs/1907.03335 (2019)
• 
  [i21]
  Konstantinos Pantazis,Daniel L. Sussman,Youngser Park,Carey E. Priebe,Vince Lyzinski:
  Multiplex graph matching matched filters.CoRRabs/1908.02572 (2019)
• 
  [i20]
  Keith D. Levin,Fred Roosta,Minh Tang,Michael W. Mahoney,Carey E. Priebe:
  Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings.CoRRabs/1910.00423 (2019)
• 
  [i19]
  Ian Gallagher,Anna Bertiger,Carey E. Priebe,Patrick Rubin-Delanchy:
  Spectral clustering in the weighted stochastic block model.CoRRabs/1910.05534 (2019)
• 
  [i18]
  Cencheng Shen,Carey E. Priebe,Joshua T. Vogelstein:
  The Exact Equivalence of Independence Testing and Two-Sample Testing.CoRRabs/1910.08883 (2019)
• 2018
• 
  [c24]
  Keith D. Levin,Farbod Roosta-Khorasani,Michael W. Mahoney,Carey E. Priebe:
  Out-of-sample extension of graph adjacency spectral embedding.ICML2018:2981-2990
• 
  [c23]
  Da Zheng,Disa Mhembere,Joshua T. Vogelstein,Carey E. Priebe,Randal C. Burns:
  FlashR: parallelize and scale R for machine learning using SSDs.PPoPP2018:183-194
• 
  [i17]
  Daniel L. Sussman,Vince Lyzinski,Youngser Park,Carey E. Priebe:
  Matched Filters for Noisy Induced Subgraph Detection.CoRRabs/1803.02423 (2018)
• 
  [i16]
  Carey E. Priebe,Youngser Park,Joshua T. Vogelstein,John M. Conroy,Vince Lyzinski,Minh Tang,Avanti Athreya,Joshua Cape,Eric Bridgeford:
  On a 'Two Truths' Phenomenon in Spectral Graph Clustering.CoRRabs/1808.07801 (2018)
• 
  [i15]
  Jesús Arroyo,Daniel L. Sussman,Carey E. Priebe,Vince Lyzinski:
  Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks.CoRRabs/1812.10519 (2018)
• 2017
• 
  [j71]
  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:
  Statistical Inference on Random Dot Product Graphs: a Survey.J. Mach. Learn. Res.18:226:1-226:92 (2017)
• 
  [j70]
  Cencheng Shen,Joshua T. Vogelstein,Carey E. Priebe:
  Manifold matching using shortest-path distance and joint neighborhood selection.Pattern Recognit. Lett.92:41-48 (2017)
• 
  [j69]
  Vince Lyzinski,Minh Tang,Avanti Athreya,Youngser Park,Carey E. Priebe:
  Community Detection and Classification in Hierarchical Stochastic Blockmodels.IEEE Trans. Netw. Sci. Eng.4(1):13-26 (2017)
• 
  [j68]
  Da Zheng,Disa Mhembere,Vince Lyzinski,Joshua T. Vogelstein,Carey E. Priebe,Randal C. Burns:
  Semi-External Memory Sparse Matrix Multiplication for Billion-Node Graphs.IEEE Trans. Parallel Distributed Syst.28(5):1470-1483 (2017)
• 
  [c22]
  Disa Mhembere,Da Zheng,Carey E. Priebe,Joshua T. Vogelstein,Randal C. Burns:
  knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library.HPDC2017:67-78
• 
  [c21]
  Keith D. Levin,Avanti Athreya,Minh Tang,Vince Lyzinski,Carey E. Priebe:
  A Central Limit Theorem for an Omnibus Embedding of Multiple Random Dot Product Graphs.ICDM Workshops2017:964-967
• 
  [i14]
  Pierre-André G. Maugis,Carey E. Priebe,Sofia C. Olhede,Patrick J. Wolfe:
  Statistical inference for network samples using subgraph counts.CoRRabs/1701.00505 (2017)
• 
  [i13]
  Shangsi Wang,Joshua T. Vogelstein,Carey E. Priebe:
  Joint Embedding of Graphs.CoRRabs/1703.03862 (2017)
• 
  [i12]
  Patrick Rubin-Delanchy,Carey E. Priebe,Minh Tang,Joshua Cape:
  A statistical interpretation of spectral embedding: the generalised random dot product graph.CoRRabs/1709.05506 (2017)
• 2016
• 
  [j67]
  Donniell E. Fishkind,Cencheng Shen,Youngser Park,Carey E. Priebe:
  On the Incommensurability Phenomenon.J. Classif.33(2):185-209 (2016)
• 
  [j66]
  Sancar Adali,Carey E. Priebe:
  Fidelity-Commensurability Tradeoff in Joint Embedding of Disparate Dissimilarities.J. Classif.33(3):485-506 (2016)
• 
  [j65]
  Vince Lyzinski,Keith D. Levin,Donniell E. Fishkind,Carey E. Priebe:
  On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching.J. Mach. Learn. Res.17:179:1-179:34 (2016)
• 
  [j64]
  Vince Lyzinski,Donniell E. Fishkind,Marcelo Fiori,Joshua T. Vogelstein,Carey E. Priebe,Guillermo Sapiro:
  Graph Matching: Relax at Your Own Risk.IEEE Trans. Pattern Anal. Mach. Intell.38(1):60-73 (2016)
• 
  [j63]
  Li Chen,Cencheng Shen,Joshua T. Vogelstein,Carey E. Priebe:
  Robust Vertex Classification.IEEE Trans. Pattern Anal. Mach. Intell.38(3):578-590 (2016)
• 
  [j62]
  Nam H. Lee,Runze Tang,Carey E. Priebe,Michael A. Rosen:
  A Model Selection Approach for Clustering a Multinomial Sequence with Non-Negative Factorization.IEEE Trans. Pattern Anal. Mach. Intell.38(12):2345-2358 (2016)
• 
  [j61]
  William P. Megarry,Gabriel Cooney,Douglas C. Comer,Carey E. Priebe:
  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.8(6):529 (2016)
• 
  [i11]
  Da Zheng,Randal C. Burns,Joshua T. Vogelstein,Carey E. Priebe,Alexander S. Szalay:
  An SSD-based eigensolver for spectral analysis on billion-node graphs.CoRRabs/1602.01421 (2016)
• 
  [i10]
  Da Zheng,Disa Mhembere,Vince Lyzinski,Joshua T. Vogelstein,Carey E. Priebe,Randal C. Burns:
  Semi-External Memory Sparse Matrix Multiplication on Billion-node Graphs in a Multicore Architecture.CoRRabs/1602.02864 (2016)
• 
  [i9]
  Da Zheng,Disa Mhembere,Joshua T. Vogelstein,Carey E. Priebe,Randal C. Burns:
  FlashMatrix: Parallel, Scalable Data Analysis with Generalized Matrix Operations using Commodity SSDs.CoRRabs/1604.06414 (2016)
• 
  [i8]
  Disa Mhembere,Da Zheng,Joshua T. Vogelstein,Carey E. Priebe,Randal C. Burns:
  NUMA-optimized In-memory and Semi-external-memory Parameterized Clustering.CoRRabs/1606.08905 (2016)
• 
  [i7]
  William M. Campbell,Lin Li,Charlie K. Dagli,Joel Acevedo-Aviles,K. Geyer,Joseph P. Campbell,Carey E. Priebe:
  Cross-Domain Entity Resolution in Social Media.CoRRabs/1608.01386 (2016)
• 2015
• 
  [j60]
  Joshua T. Vogelstein,Carey E. Priebe:
  Shuffled Graph Classification: Theory and Connectome Applications.J. Classif.32(1):3-20 (2015)
• 
  [j59]
  Ali Fuat Alkaya,Vural Aksakalli,Carey E. Priebe:
  A penalty search algorithm for the obstacle neutralization problem.Comput. Oper. Res.53:165-175 (2015)
• 
  [j58]
  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:
  An Automated Images-to-Graphs Framework for High Resolution Connectomics.Frontiers Neuroinformatics9:20 (2015)
• 
  [j57]
  Michael A. Rosen,Aaron S. Dietz,Ting Yang,Carey E. Priebe,Peter J. Pronovost:
  An integrative framework for sensor-based measurement of teamwork in healthcare.J. Am. Medical Informatics Assoc.22(1):11-18 (2015)
• 
  [j56]
  Vince Lyzinski,Daniel L. Sussman,Donniell E. Fishkind,Henry Pao,Li Chen,Joshua T. Vogelstein,Youngser Park,Carey E. Priebe:
  Spectral clustering for divide-and-conquer graph matching.Parallel Comput.47:70-87 (2015)
• 
  [c20]
  Da Zheng,Disa Mhembere,Randal C. Burns,Joshua T. Vogelstein,Carey E. Priebe,Alexander S. Szalay:
  FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs.FAST2015:45-58
• 2014
• 
  [j55]
  Vince Lyzinski,Donniell E. Fishkind,Carey E. Priebe:
  Seeded graph matching for correlated Erdös-Rényi graphs.J. Mach. Learn. Res.15(1):3513-3540 (2014)
• 
  [j54]
  Cencheng Shen,Ming Sun,Minh Tang,Carey E. Priebe:
  Generalized canonical correlation analysis for classification.J. Multivar. Anal.130:310-322 (2014)
• 
  [j53]
  Daniel L. Sussman,Minh Tang,Carey E. Priebe:
  Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs.IEEE Trans. Pattern Anal. Mach. Intell.36(1):48-57 (2014)
• 
  [j52]
  Heng Wang,Minh Tang,Youngser Park,Carey E. Priebe:
  Locality Statistics for Anomaly Detection in Time Series of Graphs.IEEE Trans. Signal Process.62(3):703-717 (2014)
• 
  [i6]
  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:
  An Automated Images-to-Graphs Pipeline for High Resolution Connectomics.CoRRabs/1411.6880 (2014)
• 
  [i5]
  Heng Wang,Da Zheng,Randal C. Burns,Carey E. Priebe:
  Active Community Detection in Massive Graphs.CoRRabs/1412.8576 (2014)
• 2013
• 
  [j51]
  Youngser Park,Carey E. Priebe,Abdou Youssef:
  Anomaly Detection in Time Series of Graphs using Fusion of Graph Invariants.IEEE J. Sel. Top. Signal Process.7(1):67-75 (2013)
• 
  [j50]
  Nam H. Lee,Jordan Yoder,Minh Tang,Carey E. Priebe:
  On Latent Position Inference from Doubly Stochastic Messaging Activities.Multiscale Model. Simul.11(3):683-718 (2013)
• 
  [j49]
  Joshua T. Vogelstein,William R. Gray Roncal,R. Jacob Vogelstein,Carey E. Priebe:
  Graph Classification Using Signal-Subgraphs: Applications in Statistical Connectomics.IEEE Trans. Pattern Anal. Mach. Intell.35(7):1539-1551 (2013)
• 
  [j48]
  Ming Sun,Carey E. Priebe,Minh Tang:
  Generalized canonical correlation analysis for disparate data fusion.Pattern Recognit. Lett.34(2):194-200 (2013)
• 
  [j47]
  Ming Sun,Carey E. Priebe:
  Efficiency investigation of manifold matching for text document classification.Pattern Recognit. Lett.34(11):1263-1269 (2013)
• 
  [j46]
  Donniell E. Fishkind,Daniel L. Sussman,Minh Tang,Joshua T. Vogelstein,Carey E. Priebe:
  Consistent Adjacency-Spectral Partitioning for the Stochastic Block Model When the Model Parameters Are Unknown.SIAM J. Matrix Anal. Appl.34(1):23-39 (2013)
• 
  [j45]
  Minh Tang,Youngser Park,Nam H. Lee,Carey E. Priebe:
  Attribute Fusion in a Latent Process Model for Time Series of Graphs.IEEE Trans. Signal Process.61(7):1721-1732 (2013)
• 
  [c19]
  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:
  Computing scalable multivariate glocal invariants of large (brain-) graphs.GlobalSIP2013:297-300
• 
  [c18]
  Heng Wang,Minh Tang,Carey E. Priebe,Youngser Park:
  Inference in time series of graphs using locality statistics.GlobalSIP2013:471-474
• 
  [c17]
  Jianqiao Feng,Xiaoying Tang,Minh Tang,Carey E. Priebe,Michael I. Miller:
  Metric Space Structures for Computational Anatomy.MLMI2013:123-130
• 
  [i4]
  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:
  Computing Scalable Multivariate Glocal Invariants of Large (Brain-) Graphs.CoRRabs/1312.4318 (2013)
• 2012
• 
  [j44]
  Carey E. Priebe,Jeffrey L. Solka,David J. Marchette,Avory C. Bryant:
  Quantitative Horizon Scanning for Mitigating Technological Surprise: Detecting the Potential for Collaboration at the Interface.Stat. Anal. Data Min.5(3):178-186 (2012)
• 
  [j43]
  Zhiliang Ma,David J. Marchette,Carey E. Priebe:
  Fusion and inference from multiple data sources in a commensurate space.Stat. Anal. Data Min.5(3):187-193 (2012)
• 
  [c16]
  Ming Sun,Minh Tang,Carey E. Priebe:
  A Comparison of Graph Embedding Methods for Vertex Nomination.ICMLA (1)2012:398-403
• 
  [c15]
  Chad M. Hawes,Carey E. Priebe:
  A bootstrap interval estimator for Bayes' classification error.SSP2012:748-751
• 
  [i3]
  Glen A. Coppersmith,Carey E. Priebe:
  Vertex Nomination via Content and Context.CoRRabs/1201.4118 (2012)
• 
  [i2]
  Ming Sun,Carey E. Priebe,Minh Tang:
  Generalized Canonical Correlation Analysis for Disparate Data Fusion.CoRRabs/1209.3761 (2012)
• 2011
• 
  [j42]
  Xugang Ye,Donniell E. Fishkind,Lowell Abrams,Carey E. Priebe:
  Sensor information monotonicity in disambiguation protocols.J. Oper. Res. Soc.62(1):142-151 (2011)
• 
  [j41]
  Ting Yang,Carey E. Priebe:
  The Effect of Model Misspecification on Semi-Supervised Classification.IEEE Trans. Pattern Anal. Mach. Intell.33(10):2093-2103 (2011)
• 
  [c14]
  Nash M. Borges,Glen A. Coppersmith,Gerard G. L. Meyer,Carey E. Priebe:
  Anomaly detection for random graphs using distributions of vertex invariants.CISS2011:1-6
• 
  [i1]
  Joshua T. Vogelstein,John M. Conroy,Louis J. Podrazik,Steven G. Kratzer,Donniell E. Fishkind,R. Jacob Vogelstein,Carey E. Priebe:
  Fast Inexact Graph Matching with Applications in Statistical Connectomics.CoRRabs/1112.5507 (2011)
• 2010
• 
  [j40]
  Zhiliang Ma,Adam Cardinal-Stakenas,Youngser Park,Michael W. Trosset,Carey E. Priebe:
  Dimensionality Reduction on the Cartesian Product of Embeddings of Multiple Dissimilarity Matrices.J. Classif.27(3):307-321 (2010)
• 
  [j39]
  Carey E. Priebe,Youngser Park,David J. Marchette,John M. Conroy,John Grothendieck,Allen L. Gorin:
  Statistical inference on attributed random graphs: Fusion of graph features and content: An experiment on time series of Enron graphs.Comput. Stat. Data Anal.54(7):1766-1776 (2010)
• 
  [j38]
  John Grothendieck,Carey E. Priebe,Allen L. Gorin:
  Statistical inference on attributed random graphs: Fusion of graph features and content.Comput. Stat. Data Anal.54(7):1777-1790 (2010)
• 
  [j37]
  Xugang Ye,Carey E. Priebe:
  A Graph-Search Based Navigation Algorithm for Traversing A Potentially Hazardous Area with Disambiguation.Int. J. Oper. Res. Inf. Syst.1(3):14-27 (2010)
• 
  [j36]
  John Blatz,Donniell E. Fishkind,Carey E. Priebe:
  Efficient, optimal stochastic-action selection when limited by an action budget.Math. Methods Oper. Res.72(1):63-74 (2010)
• 
  [c13]
  Allen L. Gorin,Carey E. Priebe,John Grothendieck:
  Random attributed graphs for statistical inference from content and context.ICASSP2010:5430-5433

• 2009
• 
  [j35]
  Andrey Rukhin,Carey E. Priebe,Dennis M. Healy Jr.:
  On the monotone likelihood ratio property for the convolution of independent binomial random variables.Discret. Appl. Math.157(11):2562-2564 (2009)
• 
  [c12]
  Nikhil R. Mohan,Carey E. Priebe,Youngser Park,Majnu John:
  Statistical Analysis of Hippocampus Shape Using a Modified Mann-Whitney-Wilcoxon Test.FGIT-BSBT2009:45-52
• 2008
• 
  [j34]
  David J. Marchette,Carey E. Priebe:
  Predicting unobserved links in incompletely observed networks.Comput. Stat. Data Anal.52(3):1373-1386 (2008)
• 
  [j33]
  Michael W. Trosset,Carey E. Priebe:
  The out-of-sample problem for classical multidimensional scaling.Comput. Stat. Data Anal.52(10):4635-4642 (2008)
• 
  [j32]
  Michael W. Trosset,Carey E. Priebe,Youngser Park,Michael I. Miller:
  Semisupervised learning from dissimilarity data.Comput. Stat. Data Anal.52(10):4643-4657 (2008)
• 
  [j31]
  Kendall E. Giles,Michael W. Trosset,David J. Marchette,Carey E. Priebe:
  Iterative Denoising.Comput. Stat.23(4):497-517 (2008)
• 
  [j30]
  Carey E. Priebe,Walter D. Wallis:
  On the anomalous behaviour of a class of locality statistics.Discret. Math.308(10):2034-2037 (2008)
• 
  [c11]
  Damianos G. Karakos,Sanjeev Khudanpur,Carey E. Priebe:
  Computation of Csiszár's mutual Information of order α.ISIT2008:2106-2110
• 2007
• 
  [j29]
  Majnu John,Carey E. Priebe:
  A data-adaptive methodology for finding an optimal weighted generalized Mann-Whitney-Wilcoxon statistic.Comput. Stat. Data Anal.51(9):4337-4353 (2007)
• 
  [j28]
  Donniell E. Fishkind,Carey E. Priebe,Kendall E. Giles,L. N. Smith,Vural Aksakalli:
  Disambiguation Protocols Based on Risk Simulation.IEEE Trans. Syst. Man Cybern. Part A37(5):814-823 (2007)
• 
  [c10]
  Youngser Park,Carey E. Priebe,Kelly N. Botteron,Michael I. Miller,Nikhil R. Mohan:
  Hippocampus Shape-Space Analysis of Clinically Depressed, High Risk, and Control Populations.FBIT2007:465-469
• 
  [c9]
  Nayoung A. Lee,Carey E. Priebe,J. Tilak Ratnanather,Michael I. Miller:
  Validation of Alternating Kernel Mixture Method Based Segmentation of the Human Brain.FBIT2007:477-481
• 
  [c8]
  Damianos G. Karakos,Sanjeev Khudanpur,Jason Eisner,Carey E. Priebe:
  Iterative Denoising using Jensen-Renyi Divergences with an Application to Unsupervised Document Categorization.ICASSP (2)2007:509-512
• 
  [c7]
  Damianos G. Karakos,Jason Eisner,Sanjeev Khudanpur,Carey E. Priebe:
  Cross-Instance Tuning of Unsupervised Document Clustering Algorithms.HLT-NAACL2007:252-259
• 2006
• 
  [j27]
  Carey E. Priebe,Michael I. Miller,J. Tilak Ratnanather:
  Segmenting magnetic resonance images via hierarchical mixture modelling.Comput. Stat. Data Anal.50(2):551-567 (2006)
• 
  [j26]
  Elvan Ceyhan,Carey E. Priebe,John C. Wierman:
  Relative density of the random r.Comput. Stat. Data Anal.50(8):1925-1964 (2006)
• 
  [j25]
  Jason DeVinney,Carey E. Priebe:
  A new family of proximity graphs: Class cover catch digraphs.Discret. Appl. Math.154(14):1975-1982 (2006)
• 
  [j24]
  Elvan Ceyhan,Carey E. Priebe:
  On the distribution of the domination number of a new family of parametrized random digraphs.Model. Assist. Stat. Appl.1(4):231-255 (2006)
• 2005
• 
  [j23]
  Christopher K. Eveland,Diego A. Socolinsky,Carey E. Priebe,David J. Marchette:
  A Hierarchical Methodology for Class Detection Problems with Skewed Priors.J. Classif.22(1):17-48 (2005)
• 
  [j22]
  Carey E. Priebe,John M. Conroy,David J. Marchette,Youngser Park:
  Scan Statistics on Enron Graphs.Comput. Math. Organ. Theory11(3):229-247 (2005)
• 
  [c6]
  Jorge Jovicich,Mirza Faisal Beg,Steve Pieper,Carey E. Priebe,Michael I. Miller,Randy L. Buckner,Bruce R. Rosen:
  Biomedical Informatics Research Network: Integrating Multi-Site Neuroimaging Data Acquisition, Data Sharing and Brain Morphometric Processing.CBMS2005:288-293
• 
  [c5]
  Damianos G. Karakos,Sanjeev Khudanpur,Jason Eisner,Carey E. Priebe:
  Unsupervised classification via decision trees: an information-theoretic perspective.ICASSP (5)2005:1081-1084
• 2004
• 
  [j21]
  Carey E. Priebe,David J. Marchette,Dennis M. Healy Jr.:
  Integrated Sensing and Processing Decision Trees.IEEE Trans. Pattern Anal. Mach. Intell.26(6):699-708 (2004)
• 
  [j20]
  Lowell Abrams,Donniell E. Fishkind,Carey E. Priebe:
  The generalized spherical homeomorphism theorem for digital images.IEEE Trans. Medical Imaging23(5):655-657 (2004)
• 2003
• 
  [j19]
  Carey E. Priebe,David J. Marchette,Jason DeVinney,Diego A. Socolinsky:
  Classification Using Class Cover Catch Digraphs.J. Classif.20(1):003-023 (2003)
• 
  [j18]
  Carey E. Priebe,Jeffrey L. Solka,David J. Marchette,B. Ted Clark:
  Class cover catch digraphs for latent class discovery in gene expression monitoring by DNA microarrays.Comput. Stat. Data Anal.43(4):621-632 (2003)
• 
  [j17]
  Timothy E. Olson,Jong-Shi Pang,Carey E. Priebe:
  A likelihood-MPEC approach to target classification.Math. Program.96(1):1-31 (2003)
• 
  [j16]
  David J. Marchette,Carey E. Priebe:
  Characterizing the scale dimension of a high-dimensional classification problem.Pattern Recognit.36(1):45-60 (2003)
• 
  [c4]
  J. Tilak Ratnanather,Carey E. Priebe,Michael I. Miller:
  Semi-automated segmentation of cortical subvolumes via hierarchical mixture modeling.Image Processing2003
• 2002
• 
  [j15]
  Jeffrey L. Solka,Carey E. Priebe,Barton T. Clark:
  A Visualization Framework for the Analysis of Hyperdimensional Data.Int. J. Image Graph.2(1):145-161 (2002)
• 
  [j14]
  Lowell Abrams,Donniell E. Fishkind,Carey E. Priebe:
  A Proof of the Spherical Homeomorphism Conjecture for Surfaces.IEEE Trans. Medical Imaging21(11):1564-1566 (2002)
• 2001
• 
  [j13]
  Carey E. Priebe:
  Olfactory Classification via Interpoint Distance Analysis.IEEE Trans. Pattern Anal. Mach. Intell.23(4):404-413 (2001)
• 
  [j12]
  Carey E. Priebe,Dalei Chen:
  Spatial Scan Density Estimates.Technometrics43(1):73-83 (2001)
• 2000
• 
  [j11]
  Dominic Lee,Carey E. Priebe:
  Exact mean and mean squared error of the smoothed bootstrap mean integrated squared error estimator.Comput. Stat.15(2):169-181 (2000)

• 1998
• 
  [j10]
  Jeffrey L. Solka,Edward J. Wegman,Carey E. Priebe,Wendy L. Poston,George W. Rogers:
  Mixture structure analysis using the Akaike Information Criterion and the bootstrap.Stat. Comput.8(3):177-188 (1998)
• 
  [c3]
  Carey E. Priebe:
  Detection of Microcalcification Clusters in Digital Mammography Via the Spatial Scan Statistic with Stochastic Scan Partitions.Digital Mammography / IWDM1998:165-168
• 1997
• 
  [j9]
  Carey E. Priebe,David J. Marchette,George W. Rogers:
  Segmentation of Random Fields Via Borrowed Strength Density Estimation.IEEE Trans. Pattern Anal. Mach. Intell.19(5):494-499 (1997)
• 
  [j8]
  David J. Marchette,Richard A. Lorey,Carey E. Priebe:
  An analysis of local feature extraction in digital mammography.Pattern Recognit.30(9):1547-1554 (1997)
• 1995
• 
  [j7]
  Richard A. Lorey,Jeffrey L. Solka,George W. Rogers,David J. Marchette,Carey E. Priebe:
  Mammographic Computer-Assisted Diagnosis using Computational Statistics Pattern Recognition.Real Time Imaging1(2):95-104 (1995)
• 
  [j6]
  George W. Rogers,Jeffrey L. Solka,Carey E. Priebe:
  A PDP Approach to Localized Fractal Dimension Computation with Segmentation Boundaries.Simul.65(1):26-36 (1995)
• 1994
• 
  [j5]
  Wendy L. Poston,George W. Rogers,Carey E. Priebe,Jeffrey L. Solka:
  A qualitative analysis of the resistive grid kernel estimator.Pattern Recognit. Lett.15(3):219-225 (1994)
• 
  [c2]
  Jeffrey L. Solka,Wendy L. Poston,Carey E. Priebe,George W. Rogers,Richard A. Lorey,David J. Marchette,Kevin S. Woods,Kevin W. Bowyer:
  The detection of micro-calcifications in mammographic images using high dimensional features.CBMS1994:139-145
• 1993
• 
  [j4]
  Carey E. Priebe,David J. Marchette:
  Adaptive mixture density estimation.Pattern Recognit.26(5):771-785 (1993)
• 
  [j3]
  George W. Rogers,Jeffrey L. Solka,D. Stephen Malyevac,Carey E. Priebe:
  A self-organizing network for computing a posteriori conditional class probability.IEEE Trans. Syst. Man Cybern.23(6):1672-1682 (1993)
• 1992
• 
  [j2]
  Jeffrey L. Solka,Carey E. Priebe,George W. Rogers:
  An initial assessment of discriminant surface complexity for power law features.Simul.58(5):311-318 (1992)
• 1991
• 
  [j1]
  Carey E. Priebe,David J. Marchette:
  Adaptive mixtures: Recursive nonparametric pattern recognition.Pattern Recognit.24(12):1197-1209 (1991)

• 1988
• 
  [c1]
  Chen-Han Sung,Carey E. Priebe:
  Temporal pattern recognition.ICNN1988:689-696