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

1. Harvey McGuinness, Tianyu Wang, Carey E. Priebe, Carey E. Priebe, Hayden Helm, "Investigating social alignment via mirroring in a system of interacting language models," Submitted, 2024

   
   

2. Konstantinos Pantazis, Michael Trosset, William N. Frost, Carey E. Priebe, Vince Lyzinski, "Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings," Submitted, 2024

   
   

3. Hayden Helm, Aranyak Acharyya, Brandon Duderstadt, Youngser Park, Carey E. Priebe, "Embedding-based statistical inference on generative models," Submitted, 2024

   
   

4. Robert Osazuwa Ness, Katie Matton, Hayden Helm, Sheng Zhang, Junaid Bajwa, Carey E. Priebe, Eric Horvitz, "MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering," Submitted, 2024

   
   

5. Cencheng Shen, Jonathan Larson, Ha Trinh, Carey E. Priebe, "Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery," Submitted, 2024

   
   

6. Tianyi Chen, Zachary Lubberts, Avanti Athreya, Youngser Park, Carey E. Priebe, "Euclidean mirrors and first-order changepoints in network time series," Submitted, 2024

   
   

7. Aranyak Acharyya, Jesús Arroyo Relión, Michael Clayton, Marta Zlatic, Youngser Park,, Carey E. Priebe, "Consistent response prediction for multilayer networks on unknown manifolds," Submitted, 2024

   
   

8. Ariel Lubonja, Cencheng Shen, Carey E. Priebe, Randal Burns, "Edge-Parallel Graph Encoder Embedding," Submitted, 2024

   
   

9. Michael W. Trosset, Carey E. Priebe, "Continuous Multidimensional Scaling," Submitted, 2024

   
   

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

    
    

11. 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

    
    

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

    
    

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

    
    

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

    
    

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

    
    

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

    
    

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

    
    

18. 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

    
    

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

    
    

20. 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

    
    

21. 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

    
    

22. 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

    
    

23. 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

    
    

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

    
    

25. 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

    
    

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

    
    

27. 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

    
    

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

    
    

29. 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

    
    

30. 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

    
    

31. 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

    
    

32. 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

    
    

33. 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

    
    

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

    
    

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

    
    

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

    
    

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

    
    

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

    
    

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

    
    

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

    
    

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

    
    

42. 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.

    
    

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

    
    

44. 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.

    
    

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

    
    

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

    
    

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

    
    

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

    
    

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

    
    

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

    
    

51. 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.

    
    

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

    
    

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