Carey E. Priebe

Johns Hopkins University — United States

Physics and Astronomy · Physical Sciences

43h-index8.8kcitations541works0.92yr avg
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Research Topics

Complex Network Analysis Techniques(139), Advanced Graph Neural Networks(82), Functional Brain Connectivity Studies(59), Bayesian Methods and Mixture Models(54), Statistical Methods and Inference(48)

Publications541 total

Data Kernel Perspective Space Performance Guarantees for Synthetic Data from Transformer Models
ArXiv.org·2026Open Access
Data Kernel Perspective Space Performance Guarantees for Synthetic Data from Transformer Models
arXiv (Cornell University)·2026Open Access
SIGMA: Scalable Spectral Insights for LLM Model Collapse
arXiv (Cornell University)·2026Open Access
SIGMA: Scalable Spectral Insights for LLM Collapse
arXiv (Cornell University)·2026Open Access
Graph Neural Networks Powered by Encoder Embedding for Improved Node Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence·2026
Explaining categorical feature interactions using graph covariance and LLMs
Applied Network Science·2025Open Access
Decision Tree Embedding by Leaf-Means
arXiv (Cornell University)·2025Open Access
Concentration bounds on response-based vector embeddings of black-box generative models
arXiv (Cornell University)·2025Open Access
Taming Variability: Randomized and Bootstrapped Conformal Risk Control for LLMs
arXiv (Cornell University)·2025Open Access
Unsupervised Conformal Inference: Bootstrapping and Alignment to Control LLM Uncertainty
arXiv (Cornell University)·2025Open Access
Testing for LLM response differences: the case of a composite null consisting of semantically irrelevant query perturbations
arXiv (Cornell University)·2025Open Access
A functional tensor model for dynamic multilayer networks with common invariant subspaces and the RKHS estimation
arXiv (Cornell University)·2025Open Access
Simple Lifelong Learning Machines
IEEE Transactions on Pattern Analysis and Machine Intelligence·2025· 1 cited
Graph Neural Networks Powered by Encoder Embedding for Improved Node Learning
ArXiv.org·2025Open Access
Convergence Guarantees for Response Prediction for Latent Structure Network Time Series
IEEE Transactions on Network Science and Engineering·2025Open Access
Principal Graph Encoder Embedding and Principal Community Detection
IEEE Transactions on Network Science and Engineering·2025· 1 citedOpen Access
Gaussian mixture models as a proxy for interacting language models
arXiv (Cornell University)·2025Open Access
LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs
arXiv (Cornell University)·2025Open Access
Out-of-Sample Embedding with Proximity Data: Projection versus Restricted Reconstruction
arXiv (Cornell University)·2025Open Access
Refined graph encoder embedding via self-training and latent community recovery
Social Network Analysis and Mining·2025Open Access
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Frequent Co-authors

Joshua T Vogelstein(16), Minh Tang(14), Youngser Park(13), Vince Lyzinski(11), Daniel L. Sussman(10), Avanti Athreya(8), David J. Marchette(6), Donniell E. Fishkind(6), Keith Levin(4), Eric Bridgeford(4), Randal Burns(3), Marta Zlatic(3), Joshua Cape(3), Feng Li(2), Ingrid Andrade(2), Richard D. Fetter(2), James W. Truman(2), Albert Cardona(2), John M. Conroy(2), Disa Mhembere(2)