SELECTED SUBMITTED PAPERS
(Selected journal publications can be found here.)
(Selected conference publications can be found here.)

1. Hayden Helm, Carey E Priebe, Weiwei Yang, "A Statistical Turing Test for Generative Models," Submitted, 2023

   
   

2. Zhirui Li, Ben Johnson, Daniel L. Sussman, Carey E Priebe, Vince Lyzinski, "Gotta match 'em all: Solution diversification in graph matching matched filters," Submitted, 2023

   
   

3. Tianyu Wang, Zachary M. Pisano, Carey E Priebe, "Occam Factor for Random Graphs: Erdös-Rènyi, Independent Edge, and a Uniparametric Stochastic Blockmodel," Submitted, 2023

   
   

4. Brandon Duderstadt, Hayden S. Helm, Carey E Priebe, "Comparing Foundation Models using Data Kernels," Submitted, 2023

   
   

5. Yukun Song, Carey E Priebe, Minh Tang, "Independence testing for inhomogeneous random graphs," Submitted, 2023

   
   

6. Cencheng Shen, Carey E Priebe, Jonathan Larson, Ha Trinh, "Synergistic Graph Fusion via Encoder Embedding," Submitted, 2023

   
   

7. Qingyang Wang, Michael A. Powell, Ali Geisa, Eric Bridgeford, Carey E Priebe, Joshua T. Vogelstein, "Why do networks have inhibitory/negative connections?," Submitted, 2023

   
   

8. Hayden S. Helm, Weiwei Yang, Ashwin De Silva, Joshua T. Vogelstein, Carey E Priebe, "Approximately optimal domain adaptation with Fisher's Linear Discriminant Analysis," Submitted, 2023

   
   

9. Cencheng Shen, Youngser Park, Carey E Priebe, "Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection," Submitted, 2023

   
   

10. Carey E. Priebe, Ningyuan Huang, Soledad Villar, Cong Mu, Li Chen, "Deep Learning is Provably Robust to Symmetric Label Noise," Submitted, 2022

    
    

11. Chen, Li; Huang, Ningyuan; Mu, Cong; Helm, Hayden; Lytvynets, Kate; Yang, Weiwei, Carey E. Priebe, "Deep Learning with Label Noise: A Hierarchical Approach," Submitted, 2022

    
    

12. Avanti Athreya, Zachary Lubberts, Youngser Park, Carey E. Priebe, "Discovering underlying dynamics in time series of networks," Submitted, 2022

    
    

13. Ali Saad-Eldin, Benjamin D. Pedigo, Carey E. Priebe, Joshua T. Vogelstein, "Graph Matching via Optimal Transport," Submitted, 2021

    
    

14. Ali Geisa, Ronak Mehta, Hayden S. Helm, Jayanta Dey, Eric Eaton, Carey E. Priebe, Joshua T. Vogelstein, "Towards a theory of out-of-distribution learning," Submitted, 2021

    
    

15. Haoyin Xu, Kaleab A. Kinfu, Will LeVine, Sambit Panda, Jayanta Dey, Michael Ainsworth, Yu-Chung Peng, Madi Kusmanov, Florian Engert, Christopher M. White, Joshua T. Vogelstein, Carey E. Priebe, "Decision Forests vs. Deep Networks: Conceptual Similarities and Empirical Differences at Small Sample Sizes," Submitted, 2021

    
    

16. Hayden S. Helm, Marah Abdin, Benjamin D. Pedigo, Shweti Mahajan, Vince Lyzinski, Youngser Park, Amitabh Basu, PialiChoudhury, Christopher M. White, Weiwei Yang, Carey E. Priebe, "Leveraging semantically similar queries for ranking via combining representations," Submitted, 2021

    
    

17. Lingxin Hao, Angelo Mele, Joshua Cape, Avanti Athreya, Cong Mu, Carey E. Priebe, A Network Science Approach to Micro-Macro Structural Analysis of the Labor Market, Submitted, 2021

    
    

18. Zachary M. Pisano, Daniel Q. Naiman, Carey E. Priebe, "Occam Factor for Gaussian Models With Unknown Variance Structure," Submitted, 2021

    
    

19. Zachary Lubberts, Avanti Athreya, Youngser Park, Carey E. Priebe, Carey E. Priebe, "Beyond the adjacency matrix: random line graphs and inference for networks with edge attributes," Submitted, 2021

    
    

20. Hayden S. Helm, Weiwei Yang, Sujeeth Bharadwaj, Kate Lytvynets, Oriana Riva, Christopher White, Ali Geisa, Carey E. Priebe, "Inducing a hierarchy for multi-class classification problems," Submitted, 2021

    
    

21. Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal Burns, "clusterNOR: A NUMA-Optimized Clustering Framework," submitted, 2020

    
    

22. Vivek Gopalakrishnan, Jaewon Chung, Eric Bridgeford, Benjamin D. Pedigo, Jesús Arroyo, Lucy Upchurch, G. Allan Johnson, Nian Wang, Youngser Park, Carey E. Priebe, Joshua T. Vogelstein, "Multiscale Comparative Connectomics," submitted, 2020

    
    

23. Joshua Agterberg, Minh Tang, Carey E Priebe, "Nonparametric Two-Sample Hypothesis Testing for Random Graphs with Negative and Repeated Eigenvalues," submitted, 2020

    
    

24. Hayden S. Helm, Ronak D. Mehta, Brandon Duderstadt, Weiwei Yang, Christoper M. White, Ali Geisa, Joshua T. Vogelstein, Carey E Priebe, "A partition-based similarity for classification distributions," submitted, 2020

    
    

25. Anton A. Alyakin, Joshua Agterberg, Hayden S. Helm, Carey E. Priebe, "Correcting a Nonparametric Two-sample Graph Hypothesis Test for Graphs with Different Numbers of Vertices," submitted, 2020

    
    

26. Chen, Guodong; Arroyo, Jesús; Athreya, Avanti; Cape, Joshua; Vogelstein, Joshua; Park, Youngser; White, Christopher; Larson, Jonathan; Yang, Weiwei; Priebe, Carey E., "Multiple Network Embedding for Anomaly Detection in Time Series of Graphs," submitted, 2020

    
    

27. Cong Mu, Angelo Mele, Lingxin Hao, Joshua Cape, Avanti Athreya, Carey E. Priebe, "On identifying unobserved heterogeneity in stochastic blockmodel graphs with vertex covariates," submitted, 2020

    
    

28. Lingxin Hao, Angelo Mele, Joshua Cape, Avanti Athreya, Cong Mu, Carey E. Priebe, "Latent Communities in Employment Relations and Wage Distributions: A Network Approach," submitted, 2020

    
    

29. Hayden S. Helm, Amitabh Basu, Avanti Athreya, Youngser Park, Joshua T. Vogelstein, Michael Winding, Marta Zlatic, Albert Cardona, Patrick Bourke, Jonathan Larson, Chris White, Carey E Priebe, "Learning to rank via combining representations," submitted, 2020

    
    

30. Joshua T. Vogelstein, Hayden S. Helm, Ronak D. Mehta, Jayanta Dey, Weiwei Yang, Bryan Tower, Will LeVine, Jonathan Larson, Chris White, Carey E Priebe, "A general approach to progressive learning," submitted, 2020

    
    

31. Carey E Priebe, Joshua Vogelstein, Florian Engert, Christopher M White, "Modern Machine Learning: Partition & Vote," submitted, 2020

    
    

32. Michael W. Trosset, Mingyue Gao, Minh Tang, Carey E Priebe, "Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs," submitted, 2020

    
    

33. Joshua Agterberg, Minh Tang, Carey E Priebe, "On Two Distinct Sources of Nonidentifiability in Latent Position Random Graph Models," submitted, 2020

    
    

34. Anton Alyakin, Yichen Qin, Carey E Priebe "LqRT: Robust Hypothesis Testing of Location Parameters using Lq-Likelihood-Ratio-Type Test in Python," submitted, 2019

    
    

35. Cencheng Shen, Carey E Priebe, Joshua T. Vogelstein "The Exact Equivalence of Independence Testing and Two-Sample Testing," submitted, 2019

    
    

36. Disa Mhembere, Da Zheng, Joshua Vogelstein, Carey E. Priebe, Randal Burns, "Graphyti: A Semi-External Memory Graph Library for FlashGraph," submitted, 2019.

    
    

37. Hayden Helm, Joshua Vogelstein, Carey E. Priebe, "Vertex Classification on Weighted Networks," submitted, 2019.

    
    

38. Michael Trosset, Carey E. Priebe, "Approximate Information Tests on Statistical Submanifolds," submitted, 2019.

    
    

39. Shangsi Wang, Cencheng Shen, Alexandra Badea, Carey E. Priebe, Joshua T. Vogelstein, "Signal Subgraph Estimation Via Vertex Screening," submitted, 2018.

    
    

40. Runze Tang, Minh Tang, Joshua T. Vogelstein, Carey E. Priebe, "Robust Estimation from Multiple Graphs under Gross Error Contamination," submitted, 2017.

    
    

41. Keith Levin, Avanti Athreya, Minh Tang, Vince Lyzinski, Youngser Park, Carey E. Priebe, "A central limit theorem for an omnibus embedding of random dot product graphs," submitted, 2017.

    
    

42. P. Rubin-Delanchy, C.E. Priebe, M. Tang, "Consistency of adjacency spectral embedding for the mixed membership stochastic blockmodel," submitted, 2017.

    
    

43. C.E. Priebe, Y. Park, M. Tang, A, Athreya, V. Lyzinski, J. Vogelstein, Y. Qin, B. Cocanougher, K. Eichler, M. Zlatic, A. Cardona, "Semiparametric spectral modeling of the Drosophila connectome," submitted, 2017.

    
    

44. Michael W. Trosset, Mingyue Gao, Carey E. Priebe, "On the Power of Likelihood Ratio Tests in Dimension-Restricted Submodels," submitted, 2016.

    
    

45. Jordan Yoder, Carey E. Priebe, "A Model-based Semi-Supervised Clustering Methodology," submitted, 2015.

    
    

46. Nam Lee, Carey E. Priebe, Youngser Park, I-Jeng Wang, Michael Rosen, "Techniques for clustering interaction data as a collection of graphs," submitted, 2014.

    
    

47. Vince Lyzinski, Sancar Adali, Joshua T. Vogelstein, Youngser Park, Carey E. Priebe, "Seeded Graph Matching Via Joint Optimization of Fidelity and Commensurability," submitted, 2014.

    
    

48. Damianos Karakos, Shuai Huang, Sanjeev Khudanpur, Carey E. Priebe, "Information-Theoretic Aspects of Iterative Denoising," submitted, 2013.

    
    

49. Minh Tang, Youngser Park, and Carey E. Priebe, "Out-of-sample Extension for Latent Position Graphs," submitted, 2013.

    
    

50. L. Chen, C.E. Priebe, D.L. Sussman, D.C. Comer, W.P. Megarry, and J.C. Tilton, "Enhanced Archaeological Predictive Modelling in Space Archaeology," submitted, 2013.

    
    

51. Lucy F. Robinson, C.E. Priebe, "Detecting Time-dependent Structure in Network Data via a New Class of Latent Process Models," submitted, 2012.

    
    

52. G.A. Coppersmith, C.E. Priebe, "Vertex Nomination via Content and Context," submitted, 2012.