Daniel Lewis Sussman

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	All	Since 2018
Citations	2713	1969
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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
William R. Gray-Roncal, Ph.D.Johns Hopkins University Applied Physics LaboratoryVerified email at jhu.edu
Youngser ParkResearch Scientist, Johns Hopkins UniversityVerified 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 YaoTencentVerified 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
Douglas ComerCultural Site Research and ManagementVerified email at culturalsite.com
Edoardo M AiroldiProfessor of Statistics & Data Science Temple University & PI, Harvard UniversityVerified email at fas.harvard.edu
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	921	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	286	2012
Statistical inference on random dot product graphs: a survey A Athreya, DE Fishkind, M Tang, CE Priebe, Y Park, JT Vogelstein, ... The Journal of Machine Learning Research 18 (1), 8393-8484, 2017	202	2017
Universally consistent vertex classification for latent positions graphs M Tang, DL Sussman, CE Priebe	130	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	129*	2016
Perfect clustering for stochastic blockmodel graphs via adjacency spectral embedding V Lyzinski, DL Sussman, M Tang, A Athreya, CE Priebe	127	2014
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	124	2017
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	121	2013
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	112	2012
A nonparametric two-sample hypothesis testing problem for random graphs M Tang, A Athreya, DL Sussman, V Lyzinski, CE Priebe	93*	2017
Elements of estimation theory for causal effects in the presence of network interference DL Sussman, EM Airoldi arXiv preprint arXiv:1702.03578, 2017	58	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	52	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	49	2015
Association between visceral adiposity and colorectal polyps on CT colonography RM Summers, J Liu, DL Sussman, AJ Dwyer, B Rehani, PJ Pickhardt, ... AJR. American journal of roentgenology 199 (1), 48, 2012	34	2012
Connectome Smoothing via Low-rank Approximations R Tang, M Ketcha, A Badea, ED Calabrese, DS Margulies, JT Vogelstein, ... IEEE transactions on medical imaging, 2018	33	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	30	2019
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	26	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	24	2013
Matchability of heterogeneous networks pairs V Lyzinski, DL Sussman Information and Inference, 0	16*

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