Publications

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

Arxiv

Wenrui Li, Daniel L. Sussman, Eric D. Kolaczyk (2023). Estimation of the Branching Factor in Noisy Networks. IEEE Transactions on Network Science and Engineering.

Arxiv DOI

Christy Lin, Daniel L. Sussman, Prakash Ishwar (2023). Ergodic Limits, Relaxations, and Geometric Properties of Random Walk Node Embeddings. IEEE Transactions on Network Science and Engineering.

Arxiv DOI

Kelly Kung, Daniel L Sussman (2022). Unbiased estimation for additive exposure models. arxiv.

Arxiv

Qian Wang, Daniel Sussman (2022). Shuffled total least squares. arxiv.

Arxiv

Konstantinos Pantazis, Daniel L Sussman, Youngser Park, Zhirui Li, Carey E Priebe, Vince Lyzinski (2022). Multiplex graph matching matched filters. Applied Network Science.

Arxiv DOI

Jesús Arroyo, Daniel L Sussman, Carey E Priebe, Vince Lyzinski (2021). Maximum likelihood estimation and graph matching in errorfully observed networks. Journal of computational and graphical statistics.

Arxiv DOI

Wenrui Li, Daniel L Sussman, Eric D Kolaczyk (2021). Causal Inference under Network Interference with Noise. arxiv.

Arxiv

Zihuan Qiao, Daniel Sussman (2021). iGraphMatch : an R Package for the Analysis of Graph Matching. arxiv.

Arxiv

Zihuan Qiao, Daniel L Sussman (2021). iGraphMatch .

URL

Daniel L Sussman, Youngser Park, Carey E Priebe, Vince Lyzinski (2020). Matched Filters for Noisy Induced Subgraph Detection. IEEE transactions on pattern analysis and machine intelligence.

Arxiv DOI

Vince Lyzinski, Daniel L Sussman (2020). Matchability of heterogeneous networks pairs. Information and inference.

Arxiv DOI

Benjamin Draves, Daniel L Sussman (2020). Bias-Variance Tradeoffs in Joint Spectral Embeddings. arxiv.

Arxiv

K Pantazis, D L Sussman, Y Park, C E Priebe, V Lyzinski (2019). Multiplex graph matching matched filters. 2019 IEEE International Conference on Big Data (Big Data).

DOI

L Li, D L Sussman (2019). Graph Matching via Multi-Scale Heat Diffusion. 2019 IEEE International Conference on Big Data (Big Data).

DOI

Runze Tang, Michael Ketcha, Alexandra Badea, Evan D Calabrese, Daniel S Margulies, Joshua T Vogelstein, Carey E Priebe, Daniel L Sussman (2019). Connectome Smoothing via Low-Rank Approximations. IEEE transactions on medical imaging.

Arxiv DOI

Eric W Bridgeford, Daniel Sussman, Vince Lyzinski, Yichen Qin, Youngser Park, Brian Caffo (2018). What Is Connectome Coding?. SHORT COURSE 2: Functional, Structural, and Molecular Imaging, and Big Data Analysis.

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Fei Fang, Daniel L Sussman, Vince Lyzinski (2018). Tractable Graph Matching via Soft Seeding. arxiv.

Arxiv

Avanti Athreya, Donniell E Fishkind, Minh Tang, Carey E Priebe, Youngser Park, Joshua T Vogelstein, Keith Levin, Vince Lyzinski, Yichen Qin, Daniel L Sussman (2018). Statistical Inference on Random Dot Product Graphs: a Survey. Journal of machine learning research.

Arxiv DOI

Joel Douglas, Ben Zimmerman, Alexei Kopylov, Jiejun Xu, Daniel Sussman, Vince Lyzinski (2018). Metrics for Evaluating Network Alignment. GTA3 2018: Workshop on Graph Techniques for Adversarial Activity Analytics at WSDM.

URL

Daniel L Sussman, Vince Lyzinski, Youngser Park, Carey E Priebe (2018). Matched Filters for Noisy Induced Subgraph Detection. GTA3 2018: Workshop on Graph Techniques for Adversarial Activity Analytics at WSDM.

URL

Daniel L Sussman, Edoardo M Airoldi (2017). Elements of estimation theory for causal effects in the presence of network interference. arxiv.

Arxiv

John Bliton, Daniel Sussman, Ronald M Summers, Jianhua Yao (2017). Adipose tissue measurement using magnetic resonance imaging: A survey. Current medical imaging reviews.

DOI

Minh Tang, Avanti Athreya, Daniel L Sussman, Vince Lyzinski, Youngser Park, Carey E Priebe (2017). A Semiparametric Two-Sample Hypothesis Testing Problem for Random Graphs. Journal of computational and graphical statistics.

Arxiv DOI

Minh Tang, Avanti Athreya, Daniel L Sussman, Vince Lyzinski, Carey E Priebe (2017). A nonparametric two-sample hypothesis testing problem for random graphs. Bernoulli.

Arxiv DOI

Shakira Suwan, Dominic S Lee, Runze Tang, Daniel L Sussman, Minh Tang, Carey E Priebe (2016). Empirical Bayes estimation for the stochastic blockmodel. Electronic journal of statistics.

Arxiv DOI

A Athreya, C E Priebe, M Tang, V Lyzinski, D J Marchette, D L Sussman (2016). A Limit Theorem for Scaled Eigenvectors of Random Dot Product Graphs. Sankhya A.

Arxiv DOI

Carey E Priebe, Daniel L Sussman, Minh Tang, Joshua T Vogelstein (2015). Statistical Inference on Errorfully Observed Graphs. Journal of computational and graphical statistics.

Arxiv DOI

Vince Lyzinski, Daniel L Sussman, Donniell E Fishkind, Henry Pao, Li Chen, Joshua T Vogelstein, Youngser Park, Carey E Priebe (2015). Spectral clustering for divide-and-conquer graph matching. Parallel computing.

Arxiv DOI

Narayanan Kasthuri, Kenneth Jeffrey Hayworth, Daniel Raimund Berger, Richard Lee Schalek, José Angel Conchello, Seymour Knowles-Barley, Dongil Lee, Amelio Vázquez-Reina, Verena Kaynig, Thouis Raymond Jones, Mike Roberts, Josh Lyskowski Morgan, Juan Carlos Tapia, H Sebastian Seung, William Gray Roncal, Joshua Tzvi Vogelstein, Randal Burns, Daniel Lewis Sussman, Carey Eldin Priebe, Hanspeter Pfister, Jeff William Lichtman (2015). Saturated Reconstruction of a Volume of Neocortex. Cell.

DOI

Daniel L Sussman, Alexander Volfovsky, Edoardo M Airoldi (2015). Analyzing statistical and computational tradeoffs of estimation procedures. arxiv.

Arxiv

Vince Lyzinski, Daniel L Sussman, Minh Tang, Avanti Athreya, Carey E Priebe (2014). Perfect clustering for stochastic blockmodel graphs via adjacency spectral embedding. Electronic journal of statistics.

Arxiv DOI

Daniel Lewis Sussman (2014). Foundations of adjacency spectral embedding.

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Daniel L Sussman, Minh Tang, Carey E Priebe (2014). Consistent latent position estimation and vertex classification for random dot product graphs. IEEE transactions on pattern analysis and machine intelligence.

Arxiv DOI

Minh Tang, Daniel L Sussman, Carey E Priebe (2013). Universally consistent vertex classification for latent positions graphs. Annals of statistics.

Arxiv DOI

Li Chen, Douglas C Comer, Carey E Priebe, Daniel Sussman, James C Tilton (2013). Refinement of a Method for Identifying Probable Archaeological Sites from Remotely Sensed Data. Mapping Archaeological Landscapes from Space.

DOI

D L Sussman, D Mhembere, S Ryman, R Jung, others (2013). Massive Diffusion MRI Graph Structure Preserves Spatial Information. Organization for Human.

DOI

Donniell E Fishkind, Daniel L Sussman, Minh Tang, Joshua T Vogelstein, Carey E Priebe (2013). Consistent Adjacency-Spectral Partitioning for the Stochastic Block Model When the Model Parameters Are Unknown. SIAM Journal on Matrix Analysis and Applications.

Arxiv DOI

D Mhembere, W Gray Roncal, D Sussman, C E Priebe, R Jung, S Ryman, R J Vogelstein, J T Vogelstein, R Burns (2013). Computing scalable multivariate glocal invariants of large (brain-) graphs. 2013 IEEE Global Conference on Signal and Information Processing.

DOI

James C Tilton, Douglas C Comer, Carey E Priebe, Daniel Sussman, Li Chen (2012). Refinement of a method for identifying probable archaeological sites from remotely sensed data. Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII.

DOI

Ronald M Summers, Jiamin Liu, Daniel L Sussman, Andrew J Dwyer, Bhavya Rehani, Perry J Pickhardt, J Richard Choi, Jianhua Yao (2012). Association between visceral adiposity and colorectal polyps on CT colonography. AJR.

DOI

Daniel L Sussman, Minh Tang, Donniell E Fishkind, Carey E Priebe (2012). A Consistent Adjacency Spectral Embedding for Stochastic Blockmodel Graphs. Journal of the American Statistical Association.

Arxiv DOI

Jianhua Yao, Daniel L Sussman, Ronald M Summers (2011). Fully automated adipose tissue measurement on abdominal CT . SPIE Medical Imaging.

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D L Sussman, J Yao, R M Summers (2010). Automated measurement and segmentation of abdominal adipose tissue in MRI . 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

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Daniel L Sussman, Jianhua Yao, Ronald M Summers (2010). Automated fat measurement and segmentation with intensity inhomogeneity correction. Medical Imaging 2010: Image Processing.

DOI