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Daniel Lewis Sussman
Daniel Lewis Sussman
Boston University
Bestätigte E-Mail-Adresse bei bu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Saturated reconstruction of a volume of neocortex
N Kasthuri, KJ Hayworth, DR Berger, RL Schalek, JA Conchello, ...
Cell 162 (3), 648-661, 2015
10982015
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
3422012
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
2972018
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
1582017
Universally consistent vertex classification for latent positions graphs
M Tang, DL Sussman, CE Priebe
1522013
Perfect clustering for stochastic blockmodel graphs via adjacency spectral embedding
V Lyzinski, DL Sussman, M Tang, A Athreya, CE Priebe
1492014
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
1472016
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
1382013
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
1202012
Elements of estimation theory for causal effects in the presence of network interference
DL Sussman, EM Airoldi
arXiv preprint arXiv:1702.03578, 2017
912017
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
612015
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
552015
Connectome Smoothing via Low-rank Approximations
R Tang, M Ketcha, A Badea, ED Calabrese, DS Margulies, JT Vogelstein, ...
IEEE transactions on medical imaging, 2018
412018
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
402019
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
392012
Causal inference under network interference with noise
W Li, DL Sussman, ED Kolaczyk
arXiv preprint arXiv:2105.04518, 2021
292021
Empirical Bayes estimation for the stochastic blockmodel
S Suwan, DS Lee, R Tang, DL Sussman, M Tang, CE Priebe
282016
Fully automated adipose tissue measurement on abdominal CT
J Yao, DL Sussman, RM Summers
Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and …, 2011
282011
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
232013
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