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Journal Articles
- 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 Networks 10: 752-764 (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 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 W. 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) - 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. Theory 68(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) - 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) - 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. NeuroImage 222: 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. Theory 66(8): 5061-5071 (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 Imaging 38(6): 1446-1456 (2019) - 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) - 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) - 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 Neuroinformatics 9: 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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 A 37(5): 814-823 (2007) - 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. Theory 11(3): 229-247 (2005) - 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 Imaging 23(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) - 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 Imaging 21(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. Technometrics 43(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) - 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 Imaging 1(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) - 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)
Conference and Workshop Papers
- 2024
- [c34]Ariel Lubonja, Cencheng Shen, Carey E. Priebe, Randal C. Burns:
Edge-Parallel Graph Encoder Embedding. IPDPS (Workshops) 2024: 482-485 - 2023
- [c33]Cencheng Shen, Youngser Park, Carey E. Priebe:
Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection. ADMIT 2023: 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 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. CoLLAs 2023: 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? ICCV 2023: 22494-22502 - [c30]Ashwin De Silva, Rahul Ramesh, Carey E. Priebe, Pratik Chaudhari, Joshua T. Vogelstein:
The Value of Out-of-Distribution Data. ICML 2023: 7366-7389 - 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. EMNLP 2022: 2545-2561 - 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 - 2020
- [c26]Meghana Madhyastha, Gongkai Li, Veronika Strnadová-Neeley, James Browne, Joshua T. Vogelstein, Randal C. Burns, Carey E. Priebe:
Geodesic Forests. KDD 2020: 513-523 - 2019
- [c25]Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Carey E. Priebe, Vince Lyzinski:
Multiplex graph matching matched filters. IEEE BigData 2019: 4921-4927 - 2018
- [c24]Keith D. Levin, Farbod Roosta-Khorasani, Michael W. Mahoney, Carey E. Priebe:
Out-of-sample extension of graph adjacency spectral embedding. ICML 2018: 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. PPoPP 2018: 183-194 - 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. HPDC 2017: 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 Workshops 2017: 964-967 - 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. FAST 2015: 45-58 - 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. GlobalSIP 2013: 297-300 - [c18]Heng Wang, Minh Tang, Carey E. Priebe, Youngser Park:
Inference in time series of graphs using locality statistics. GlobalSIP 2013: 471-474 - [c17]Jianqiao Feng, Xiaoying Tang, Minh Tang, Carey E. Priebe, Michael I. Miller:
Metric Space Structures for Computational Anatomy. MLMI 2013: 123-130 - 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. SSP 2012: 748-751 - 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. CISS 2011: 1-6 - 2010
- [c13]Allen L. Gorin, Carey E. Priebe, John Grothendieck:
Random attributed graphs for statistical inference from content and context. ICASSP 2010: 5430-5433 - 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-BSBT 2009: 45-52 - 2008
- [c11]Damianos G. Karakos, Sanjeev Khudanpur, Carey E. Priebe:
Computation of Csiszár's mutual Information of order α. ISIT 2008: 2106-2110 - 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. FBIT 2007: 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. FBIT 2007: 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-NAACL 2007: 252-259 - 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. CBMS 2005: 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 - 2003
- [c4]J. Tilak Ratnanather, Carey E. Priebe, Michael I. Miller:
Semi-automated segmentation of cortical subvolumes via hierarchical mixture modeling. Medical Imaging: Image Processing 2003 - 1998
- [c3]Carey E. Priebe:
Detection of Microcalcification Clusters in Digital Mammography Via the Spatial Scan Statistic with Stochastic Scan Partitions. Digital Mammography / IWDM 1998: 165-168 - 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. CBMS 1994: 139-145 - 1988
- [c1]Chen-Han Sung, Carey E. Priebe:
Temporal pattern recognition. ICNN 1988: 689-696
Informal and Other Publications
- 2024
- [i72]Ariel Lubonja, Cencheng Shen, Carey E. Priebe, Randal C. Burns:
Edge-Parallel Graph Encoder Embedding. CoRR abs/2402.04403 (2024) - [i71]Michael W. Trosset, Carey E. Priebe:
Continuous Multidimensional Scaling. CoRR abs/2402.04436 (2024) - [i70]Cencheng Shen, Jonathan Larson, Ha Trinh, Carey E. Priebe:
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery. CoRR abs/2405.12797 (2024) - [i69]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. CoRR abs/2406.06573 (2024) - [i68]Hayden S. Helm, Brandon Duderstadt, Youngser Park, Carey E. Priebe:
Tracking the perspectives of interacting language models. CoRR abs/2406.11938 (2024) - [i67]Aranyak Acharyya, Michael W. Trosset, Carey E. Priebe, Hayden S. Helm:
Consistent estimation of generative model representations in the data kernel perspective space. CoRR abs/2409.17308 (2024) - [i66]Konstantinos Pantazis, Michael W. Trosset, William N. Frost, Carey E. Priebe, Vince Lyzinski:
Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings. CoRR abs/2409.17544 (2024) - 2023
- [i65]Cencheng Shen, Youngser Park, Carey E. Priebe:
Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection. CoRR abs/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. CoRR abs/2302.14186 (2023) - [i63]Cencheng Shen, Carey E. Priebe, Jonathan Larson, Ha Trinh:
Synergistic Graph Fusion via Encoder Embedding. CoRR abs/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. CoRR abs/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. CoRR abs/2305.02473 (2023) - [i60]Brandon Duderstadt, Hayden S. Helm, Carey E. Priebe:
Comparing Foundation Models using Data Kernels. CoRR abs/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. CoRR abs/2308.13451 (2023) - [i58]Hayden S. Helm, Carey E. Priebe, Weiwei Yang:
A Statistical Turing Test for Generative Models. CoRR abs/2309.08913 (2023) - 2022
- [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 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. CoRR abs/2201.07372 (2022) - [i56]Guodong Chen, Hayden S. Helm, Kate Lytvynets, Weiwei Yang, Carey E. Priebe:
Mental State Classification Using Multi-graph Features. CoRR abs/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. CoRR abs/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. CoRR abs/2205.14299 (2022) - [i53]Ashwin De Silva, Rahul Ramesh, Carey E. Priebe, Pratik Chaudhari, Joshua T. Vogelstein:
The Value of Out-of-Distribution Data. CoRR abs/2208.10967 (2022) - [i52]Cong Mu, Youngser Park, Carey E. Priebe:
Dynamic Network Sampling for Community Detection. CoRR abs/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. CoRR abs/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. CoRR abs/2210.14378 (2022) - [i49]Carey E. Priebe, Ningyuan Huang, Soledad Villar, Cong Mu, Li Chen:
Deep Learning is Provably Robust to Symmetric Label Noise. CoRR abs/2210.15083 (2022) - 2021
- [i48]Al-Fahad M. Al-Qadhi, Carey E. Priebe, Hayden S. Helm, Vince Lyzinski:
Subgraph nomination: Query by Example Subgraph Retrieval in Networks. CoRR abs/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. CoRR abs/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. CoRR abs/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. CoRR abs/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. CoRR abs/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. CoRR abs/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. CoRR abs/2109.12640 (2021) - [i41]Cencheng Shen, Qizhe Wang, Carey E. Priebe:
Graph Encoder Embedding. CoRR abs/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. CoRR abs/2109.14501 (2021) - [i39]Ali Saad-Eldin, Benjamin D. Pedigo, Carey E. Priebe, Joshua T. Vogelstein:
Graph Matching via Optimal Transport. CoRR abs/2111.05366 (2021) - 2020
- [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. CoRR abs/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. CoRR abs/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. CoRR abs/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). CoRR abs/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. CoRR abs/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. CoRR abs/2007.02156 (2020) - [i32]Carey E. Priebe, Cencheng Shen, Ningyuan Huang, Tianyi Chen:
A Simple Spectral Failure Mode for Graph Convolutional Networks. CoRR abs/2010.13152 (2020) - [i31]Runbing Zheng, Vince Lyzinski, Carey E. Priebe, Minh Tang:
Vertex nomination between graphs via spectral embedding and quadratic programming. CoRR abs/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. CoRR abs/2011.06557 (2020) - 2019
- [i29]Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns:
clusterNOR: A NUMA-Optimized Clustering Framework. CoRR abs/1902.09527 (2019) - [i28]Congyuan Yang, Carey E. Priebe, Youngser Park, David J. Marchette:
Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering. CoRR abs/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. CoRR abs/1905.01776 (2019) - [i26]Cencheng Shen, Li Chen, Yuexiao Dong, Carey E. Priebe:
Sparse Representation Classification via Screening for Graphs. CoRR abs/1906.01601 (2019) - [i25]Hayden S. Helm, Joshua T. Vogelstein, Carey E. Priebe:
Vertex Classification on Weighted Networks. CoRR abs/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. CoRR abs/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. CoRR abs/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. CoRR abs/1907.03335 (2019) - [i21]Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Carey E. Priebe, Vince Lyzinski:
Multiplex graph matching matched filters. CoRR abs/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. CoRR abs/1910.00423 (2019) - [i19]Ian Gallagher, Anna Bertiger, Carey E. Priebe, Patrick Rubin-Delanchy:
Spectral clustering in the weighted stochastic block model. CoRR abs/1910.05534 (2019) - [i18]Cencheng Shen, Carey E. Priebe, Joshua T. Vogelstein:
The Exact Equivalence of Independence Testing and Two-Sample Testing. CoRR abs/1910.08883 (2019) - 2018
- [i17]Daniel L. Sussman, Vince Lyzinski, Youngser Park, Carey E. Priebe:
Matched Filters for Noisy Induced Subgraph Detection. CoRR abs/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. CoRR abs/1808.07801 (2018) - [i15]Jesús Arroyo, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski:
Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks. CoRR abs/1812.10519 (2018) - 2017
- [i14]Pierre-André G. Maugis, Carey E. Priebe, Sofia C. Olhede, Patrick J. Wolfe:
Statistical inference for network samples using subgraph counts. CoRR abs/1701.00505 (2017) - [i13]Shangsi Wang, Joshua T. Vogelstein, Carey E. Priebe:
Joint Embedding of Graphs. CoRR abs/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. CoRR abs/1709.05506 (2017) - 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. CoRR abs/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. CoRR abs/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. CoRR abs/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. CoRR abs/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. CoRR abs/1608.01386 (2016) - 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. CoRR abs/1411.6880 (2014) - [i5]Heng Wang, Da Zheng, Randal C. Burns, Carey E. Priebe:
Active Community Detection in Massive Graphs. CoRR abs/1412.8576 (2014) - 2013
- [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. CoRR abs/1312.4318 (2013) - 2012
- [i3]Glen A. Coppersmith, Carey E. Priebe:
Vertex Nomination via Content and Context. CoRR abs/1201.4118 (2012) - [i2]Ming Sun, Carey E. Priebe, Minh Tang:
Generalized Canonical Correlation Analysis for Disparate Data Fusion. CoRR abs/1209.3761 (2012) - 2011
- [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. CoRR abs/1112.5507 (2011)
Coauthor Index
Daniel Lewis Sussman
aka: Daniel L. Sussman
aka: Daniel L. Sussman
[j107] [j103] [j98] [j87] [j85] [j84] [j81] [j80] [j72] [j71] [j70] [j68] [j64] [j63] [j60] [j58] [j56] [j49] [j46] [c32] [c31] [c30] [c26] [c23] [c22] [c20] [c19] [i64] [i57] [i53] [i45] [i40] [i39] [i36] [i34] [i30] [i29] [i25] [i24] [i23] [i22] [i18] [i16] [i13] [i11] [i10] [i9] [i8] [i6] [i4] [i1]
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