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


  1. Hayden Helm, Tianyi Chen, Harvey McGuinness, Paige Lee, Brandon Duderstadt, Carey E. Priebe, "Toward a digital twin of U.S. Congress," Submitted, 2025


  2. Cencheng Shen, Darren Edge, Jonathan Larson, Carey E. Priebe, "Explaining Categorical Feature Interactions Using Graph Covariance and LLMs," Submitted, 2025


  3. Aranyak Acharyya, Michael W. Trosset, Carey E. Priebe, Hayden S. Helm, "Consistent estimation of generative model representations in the data kernel perspective space," Submitted, 2025


  4. Aranyak Acharyya, Francesco Sanna Passino, Michael W. Trosset, Carey E. Priebe, "Convergence guarantees for response prediction for latent structure network time series," Submitted, 2025


  5. Runbing Zheng, Avanti Athreya, Marta Zlatic, Michael Clayton, Carey E. Priebe, "Dynamic networks clustering via mirror distance," Submitted, 2024


  6. Cencheng Shen, Yuexiao Dong, Carey E. Priebe, Jonathan Larson, Ha Trinh, Youngser Park, "Principal Graph Encoder Embedding and Principal Community Detection," Submitted, 2024


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


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


  9. Hayden Helm, Aranyak Acharyya, Brandon Duderstadt, Youngser Park, Carey E. Priebe, "Statistical inference on black-box generative models in the data kernel perspective space," Submitted, 2024


  10. 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


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


  12. 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


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


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


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


  16. 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


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


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


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


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


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


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


  23. 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


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


  25. 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


  26. 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


  27. 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


  28. 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


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


  30. 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


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


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


  33. 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


  34. 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


  35. 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


  36. 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


  37. 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


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


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


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


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


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


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


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


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


  46. 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.


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


  48. 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.


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


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


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


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


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


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


  55. 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.


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


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