Daniel Lewis Sussman

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Citations	3338	2025
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Carey E. PriebeProfessor of Applied Mathematics and Statistics, Johns Hopkins UniversityVerified email at jhu.edu
Minh TangNorth Carolina State UniversityVerified email at ncsu.edu
Vince LyzinskiUniversity of MarylandVerified email at umd.edu
Joshua T. VogelsteinDept of Biomedical Engineering, Johns Hopkins UniversityVerified email at jhu.edu
Avanti AthreyaApplied Mathematics and Statistics, Johns Hopkins UniversityVerified email at jhu.edu
Randal BurnsProfessor of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu
Youngser ParkResearch Scientist, Johns Hopkins UniversityVerified email at jhu.edu
William R. Gray-Roncal, Ph.D.Johns Hopkins University Applied Physics LaboratoryVerified email at jhu.edu
H Sebastian SeungProfessor, Princeton Neuroscience Institute and Computer Science Dept.Verified email at princeton.edu
Narayanan 'Bobby' KasthuriUniversity of Chicago/Argonne National LaboratoryVerified email at uchicago.edu
Jianhua YaoTencent, IEEE Fellow, AIMBE FellowVerified email at tencent.com
Ronald M. Summers, MD, PhDNational Institutes of Health Clinical CenterVerified email at nih.gov
David Marchettenaval surface warfare centerVerified email at navy.mil
Edoardo M AiroldiProfessor of Statistics & Data Science Temple University & PI, Harvard UniversityVerified email at fas.harvard.edu
Douglas ComerCultural Site Research and ManagementVerified email at culturalsite.com
R. Jacob VogelsteinMind-X Corp, FlashX LLC, Camden Partners NexusVerified email at mind-x.io
Rex JungUniversity of New MexicoVerified email at salud.unm.edu
Disa MhembereJohns Hopkins UniversityVerified email at cs.jhu.edu

Daniel Lewis Sussman

Boston University

Verified email at bu.edu - Homepage

Statistics Random Graphs Pattern Recognition


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Saturated reconstruction of a volume of neocortex N Kasthuri, KJ Hayworth, DR Berger, RL Schalek, JA Conchello, ... Cell 162 (3), 648-661, 2015	1121	2015
A consistent adjacency spectral embedding for stochastic blockmodel graphs DL Sussman, M Tang, DE Fishkind, CE Priebe Journal of the American Statistical Association 107 (499), 1119-1128, 2012	341	2012
Statistical inference on random dot product graphs: a survey A Athreya, DE Fishkind, M Tang, CE Priebe, Y Park, JT Vogelstein, ... Journal of Machine Learning Research 18 (226), 1-92, 2018	307	2018
A semiparametric two-sample hypothesis testing problem for random graphs M Tang, A Athreya, DL Sussman, V Lyzinski, Y Park, CE Priebe Journal of Computational and Graphical Statistics 26 (2), 344-354, 2017	158	2017
Perfect clustering for stochastic blockmodel graphs via adjacency spectral embedding V Lyzinski, DL Sussman, M Tang, A Athreya, CE Priebe	153	2014
Universally consistent vertex classification for latent positions graphs M Tang, DL Sussman, CE Priebe	152	2013
A limit theorem for scaled eigenvectors of random dot product graphs A Athreya, CE Priebe, M Tang, V Lyzinski, DJ Marchette, DL Sussman Sankhya A 78, 1-18, 2016	144	2016
Consistent latent position estimation and vertex classification for random dot product graphs DL Sussman, M Tang, CE Priebe IEEE transactions on pattern analysis and machine intelligence 36 (1), 48-57, 2013	139	2013
A nonparametric two-sample hypothesis testing problem for random graphs M Tang, A Athreya, DL Sussman, V Lyzinski, CE Priebe	124*	2017
Consistent adjacency-spectral partitioning for the stochastic block model when the model parameters are unknown DE Fishkind, DL Sussman, M Tang, JT Vogelstein, CE Priebe Arxiv preprint arXiv:1205.0309, 2012	119	2012
Elements of estimation theory for causal effects in the presence of network interference DL Sussman, EM Airoldi arXiv preprint arXiv:1702.03578, 2017	92	2017
Spectral clustering for divide-and-conquer graph matching V Lyzinski, DL Sussman, DE Fishkind, H Pao, L Chen, JT Vogelstein, ... Parallel Computing 47, 70-87, 2015	61	2015
Statistical inference on errorfully observed graphs CE Priebe, DL Sussman, M Tang, JT Vogelstein Journal of Computational and Graphical Statistics 24 (4), 930-953, 2015	55	2015
Connectome Smoothing via Low-rank Approximations R Tang, M Ketcha, A Badea, ED Calabrese, DS Margulies, JT Vogelstein, ... IEEE transactions on medical imaging, 2018	43	2018
Matched filters for noisy induced subgraph detection DL Sussman, Y Park, CE Priebe, V Lyzinski IEEE transactions on pattern analysis and machine intelligence 42 (11), 2887 …, 2019	39	2019
Association between visceral adiposity and colorectal polyps on CT colonography RM Summers, J Liu, DL Sussman, AJ Dwyer, B Rehani, PJ Pickhardt, ... American Journal of Roentgenology 199 (1), 48-57, 2012	39	2012
Causal inference under network interference with noise W Li, DL Sussman, ED Kolaczyk arXiv preprint arXiv:2105.04518, 2021	29	2021
Empirical Bayes estimation for the stochastic blockmodel S Suwan, DS Lee, R Tang, DL Sussman, M Tang, CE Priebe	29	2016
Fully automated adipose tissue measurement on abdominal CT J Yao, DL Sussman, RM Summers Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and …, 2011	27	2011
Computing scalable multivariate glocal invariants of large (brain-) graphs D Mhembere, WG Roncal, D Sussman, CE Priebe, R Jung, S Ryman, ... 2013 IEEE Global Conference on Signal and Information Processing, 297-300, 2013	23	2013

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