Youngser Park

发表

On Estimation and Inference in Latent Structure Random Graphs

C. Priebe, Minh Tang, A. Athreya, 2018, Statistical Science.

Discovery of Brainwide Neural-Behavioral Maps via Multiscale Unsupervised Structure Learning

R. Kerr, C. Priebe, J. Vogelstein, 2014, Science.

A Semiparametric Two-Sample Hypothesis Testing Problem for Random Graphs

C. Priebe, V. Lyzinski, D. Sussman, 2017 .

Collaborative computational anatomy: An MRI morphometry study of the human brain via diffeomorphic metric mapping

Carey E. Priebe, C. Priebe, R. Buckner, 2009, Human Brain Mapping.

Seeded Graph Matching Via Joint Optimization of Fidelity and Commensurability.

Joshua T. Vogelstein, Vince Lyzinski, Youngser Park, 2014, 1401.3813.

Vertex Nomination Via Local Neighborhood Matching

Carey E. Priebe, Vince Lyzinski, Youngser Park, 2017 .

Node-Specific Heritability in the Mouse Connectome

Robert W. Williams, Carey E. Priebe, C. Priebe, 2019, bioRxiv.

Anomaly Detection using Scan Statistics on Time Series Hypergraphs

David J. Marchette, Carey E. Priebe, Abdou Youssef, 2009 .

Out-of-sample Extension for Latent Position Graphs

C. Priebe, Minh Tang, Youngser Park, 2013, 1305.4893.

Statistical Analysis of Twin Populations using Dissimilarity Measurements in Hippocampus Shape Space

Carey E. Priebe, Michael I. Miller, Kelly N. Botteron, 2008, Journal of biomedicine & biotechnology.

Anomaly detection in time-series of graphs and hypergraphs using graph features

Youngser Park, Abdou Youssef, Youngser Park, 2011 .

Variability and heritability of mouse brain structure: Microscopic MRI atlases and connectomes for diverse strains

G. Allan Johnson, Joshua T. Vogelstein, Robert W. Williams, 2020, NeuroImage.

Heritability of the Mouse Brain Connectome

Robert W. Williams, C. Priebe, J. Vogelstein, 2019 .

A central limit theorem for an omnibus embedding of random dot product graphs

C. Priebe, V. Lyzinski, Keith Levin, 2017, 1705.09355.

Discovering underlying dynamics in time series of networks

C. Priebe, A. Athreya, Youngser Park, 2022, 2205.06877.

Dynamic Network Sampling for Community Detection

C. Priebe, Youngser Park, Cong Mu, 2022, 2208.13921.

The connectome of an insect brain

Heather G. Patsolic, Carey E. Priebe, V. Hartenstein, 2022, bioRxiv.

Semiparametric spectral modeling of the Drosophila connectome

C. Priebe, A. Cardona, J. Vogelstein, 2017, 1705.03297.

Dynamic network sampling for community detection

C. Priebe, Youngser Park, Cong Mu, 2022, Applied Network Science.

The complete connectome of a learning and memory centre in an insect brain

L. F. Abbott, Ashok Litwin-Kumar, Youngser Park, 2017, Nature.

Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection

C. Priebe, Cencheng Shen, Youngser Park, 2023, ArXiv.

Numerical Tolerance for Spectral Decompositions of Random Matrices and Applications to Network Inference

C. Priebe, V. Lyzinski, A. Athreya, 2016, Journal of Computational and Graphical Statistics.

Numerical tolerance for spectral decompositions of random dot product graphs

Carey E. Priebe, Bryan Lewis, Vince Lyzinski, 2016, 1608.00451.

Spectral clustering for divide-and-conquer graph matching

Li Chen, Henry Pao, Carey E. Priebe, 2013, Parallel Comput..

Statistical Inference on Random Dot Product Graphs: a Survey

Carey E. Priebe, Donniell E. Fishkind, Daniel L. Sussman, 2017, J. Mach. Learn. Res..

Scan Statistics on Enron Graphs

David J. Marchette, Carey E. Priebe, John M. Conroy, 2005, Comput. Math. Organ. Theory.

Semisupervised learning from dissimilarity data

Carey E. Priebe, Michael I. Miller, Youngser Park, 2008, Comput. Stat. Data Anal..

Multiplex graph matching matched filters

Carey E. Priebe, Daniel L. Sussman, Vince Lyzinski, 2019, Applied Network Science.

A central limit theorem for an omnibus embedding of multiple random graphs and implications for multiscale network inference

Carey E. Priebe, Youngser Park, Minh Tang, 2017 .

Community Detection and Classification in Hierarchical Stochastic Blockmodels

Carey E. Priebe, Vince Lyzinski, Youngser Park, 2015, IEEE Transactions on Network Science and Engineering.

Attribute Fusion in a Latent Process Model for Time Series of Graphs

Carey E. Priebe, Youngser Park, Minh Tang, 2011, IEEE Transactions on Signal Processing.

Aksumite Settlement Patterns: Site Size Hierarchies and Spatial Clustering

Michael J. Harrower, Joseph C. Mazzariello, C. Priebe, 2022, Journal of Archaeological Research.

On a two-truths phenomenon in spectral graph clustering

Carey E. Priebe, John M. Conroy, Joshua T. Vogelstein, 2018, Proceedings of the National Academy of Sciences.

Dynamic Silos: Increased Modularity in Intra-organizational Communication Networks during the Covid-19 Pandemic

Youngser Park, Fereshteh Amini, Jonathan Larson, 2021, 2104.00641.

Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic pdf

Carey E. Priebe, Youngser Park, Fereshteh Amini, 2021, ArXiv.

Dimensionality Reduction on the Cartesian Product of Embeddings of Multiple Dissimilarity Matrices

Zhiliang Ma, Carey E. Priebe, Youngser Park, 2010, J. Classif..

Semisupervised regression in latent structure networks on unknown manifolds

M. Trosset, C. Priebe, Youngser Park, 2023, 2305.02473.

Multiscale Comparative Connectomics.

Eric W. Bridgeford, C. Priebe, J. Vogelstein, 2020 .

Discovery of Multi-Level Network Differences Across Populations of Heterogeneous Connectomes

Carey E. Priebe, Joshua T. Vogelstein, Youngser Park, 2020, 2011.14990.

Distance-based positive and unlabeled learning for ranking pdf

Carey E. Priebe, Joshua T. Vogelstein, Amitabh Basu, 2020, Pattern Recognit..

Learning to rank via combining representations

Hayden S. Helm, Christoper M. White, C. Priebe, 2020, ArXiv.

Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering pdf

David J. Marchette, Carey E. Priebe, Youngser Park, 2019, J. Comput. Graph. Stat..

Multiple Network Embedding for Anomaly Detection in Time Series of Graphs.

Christoper M. White, C. Priebe, J. Vogelstein, 2020, 2008.10055.

Locality Statistics for Anomaly Detection in Time Series of Graphs

Heng Wang, Carey E. Priebe, Youngser Park, 2013, IEEE Transactions on Signal Processing.

Euclidean mirrors and dynamics in network time series

C. Priebe, A. Athreya, Youngser Park, 2022, 2205.06877.

Beyond the adjacency matrix: random line graphs and inference for networks with edge attributes pdf

Carey E. Priebe, Youngser Park, Avanti Athreya, 2021, ArXiv.

Vertex Nomination, Consistent Estimation, and Adversarial Modification pdf

Carey E. Priebe, Vince Lyzinski, Youngser Park, 2019, Electronic Journal of Statistics.

Matched Filters for Noisy Induced Subgraph Detection

Carey E. Priebe, Daniel L. Sussman, Vince Lyzinski, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Numerical Tolerance for Spectral Decompositions of Random Matrices and Applications to Network Inference

C. Priebe, V. Lyzinski, A. Athreya, 2022, J. Comput. Graph. Stat..

Discovering Communication Pattern Shifts in Large-Scale Networks using Encoder Embedding and Vertex Dynamics

Carey E. Priebe, Jonathan Larson, Cencheng Shen, 2023, ArXiv.

Dynamic Silos: Increased Modularity in Intra-organizational Communication Networks during the Covid-19 Pandemic

Carey E. Priebe, Christopher M. White, J. Vogelstein, 2021, 2104.00641.

Multiple Network Embedding for Anomaly Detection in Time Series of Graphs.

Christoper M. White, C. Priebe, J. Vogelstein, 2020, 2008.10055.

Fast Embedding for JOFC Using the Raw Stress Criterion

Carey E. Priebe, Vince Lyzinski, Youngser Park, 2015, 1502.03391.

Anomaly Detection in Time Series of Graphs using Fusion of Graph Invariants

Carey E. Priebe, Abdou Youssef, Youngser Park, 2012, IEEE Journal of Selected Topics in Signal Processing.

Hippocampus Shape-Space Analysis of Clinically Depressed, High Risk, and Control Populations

Carey E. Priebe, Michael I. Miller, Kelly N. Botteron, 2007, 2007 Frontiers in the Convergence of Bioscience and Information Technologies.

Heritability of the Mouse Brain Connectome

C. Priebe, J. Vogelstein, G. Johnson, 2020 .

Statistical Analysis of Hippocampus Shape Using a Modified Mann-Whitney-Wilcoxon Test

Carey E. Priebe, Majnu John, Youngser Park, 2009, FGIT-BSBT.

Collaborative computational anatomy: An MRI morphometry study of the human brain via diffeomorphic metric mapping

Carey E. Priebe, R. Buckner, M. Miller, 2009, Human brain mapping.

Statistical inference on attributed random graphs: Fusion of graph features and content: An experiment on time series of Enron graphs

John M. Conroy, Carey E. Priebe, A. Gorin, 2010, Comput. Stat. Data Anal..

Matched Filters for Noisy Induced Subgraph Detection

C. Priebe, V. Lyzinski, D. Sussman, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Dynamic Silos: Increased Modularity in Intra-organizational Communication Networks during the Covid-19 Pandemic

Carey E. Priebe, Christopher M. White, J. Vogelstein, 2021, 2104.00641.

Euclidean mirrors and first-order changepoints in network time series

Carey E. Priebe, A. Athreya, Youngser Park, 2024, 2405.11111.

Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror

Carey E. Priebe, Christopher M. White, J. Vogelstein, 2023, Applied Network Science.

Euclidean mirrors and dynamics in network time series

C. Priebe, A. Athreya, Youngser Park, 2022, 2205.06877.

Ieee Transactions on Pattern Analysis and Machine Intelligence (tpami) Attribute Fusion in a Latent Process Model for Time Series of Graphs Appendix Proofs of Some Stated Results

N. H. Lee, C. Priebe, Youngser Park, 2022 .

Random line graphs and edge-attributed network inference

C. Priebe, A. Athreya, Youngser Park, 2021, 2103.14726.