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ORCIDDaniel Lewis Sussman
Person information
- affiliation: National Institutes of Health, Radiology and Imaging Sciences, Clinical Center, Bethesda, MD, USA
- affiliation: Harvard University, Statistics Department, Cambridge, MA, USA
- affiliation (PhD 2014): Johns Hopkins University, Department of Mathematics & Statistics, USA
- affiliation (former): Cornell University, Department of mathematics, Ithaca, NY, USA
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2020 – today
- 2023
[j10]Christy Lin
, Daniel L. Sussman, Prakash Ishwar:
Ergodic Limits, Relaxations, and Geometric Properties of Random Walk Node Embeddings. IEEE Trans. Netw. Sci. Eng. 10(1): 346-359 (2023)- [j9]Wenrui Li, Daniel L. Sussman, Eric D. Kolaczyk:
Estimation of the Branching Factor in Noisy Networks. IEEE Trans. Netw. Sci. Eng. 10(1): 565-577 (2023) - [i7]Zhirui Li, Ben Johnson, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski:
Gotta match 'em all: Solution diversification in graph matching matched filters. CoRR abs/2308.13451 (2023) - 2022
- [j8]Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Zhirui Li, Carey E. Priebe, Vince Lyzinski:
Multiplex graph matching matched filters. Appl. Netw. Sci. 7(1): 29 (2022) - 2021
- [j7]Jesús Arroyo, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski:
Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks. J. Comput. Graph. Stat. 30(4): 1111-1123 (2021) - [i6]Christy Lin, Daniel L. Sussman, Prakash Ishwar:
Ergodic Limits, Relaxations, and Geometric Properties of Random Walk Node Embeddings. CoRR abs/2109.04526 (2021) - 2020
- [j6]Daniel L. Sussman, Youngser Park, Carey E. Priebe, Vince Lyzinski:
Matched Filters for Noisy Induced Subgraph Detection. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2887-2900 (2020)
2010 – 2019
- 2019
- [j5]Runze Tang, Michael D. Ketcha, Alexandra Badea, Evan D. Calabrese, Daniel S. Margulies, Joshua T. Vogelstein, Carey E. Priebe, Daniel L. Sussman:
Connectome Smoothing via Low-Rank Approximations. IEEE Trans. Medical Imaging 38(6): 1446-1456 (2019) - [c5]Lin Li, Daniel L. Sussman:
Graph Matching via Multi-Scale Heat Diffusion. IEEE BigData 2019: 1157-1162 - [c4]Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Carey E. Priebe, Vince Lyzinski:
Multiplex graph matching matched filters. IEEE BigData 2019: 4921-4927 - [i5]Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Carey E. Priebe, Vince Lyzinski:
Multiplex graph matching matched filters. CoRR abs/1908.02572 (2019) - 2018
- [i4]Daniel L. Sussman, Vince Lyzinski, Youngser Park, Carey E. Priebe:
Matched Filters for Noisy Induced Subgraph Detection. CoRR abs/1803.02423 (2018) - [i3]Jesús Arroyo, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski:
Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks. CoRR abs/1812.10519 (2018) - 2017
- [j4]Avanti Athreya, Donniell E. Fishkind, Minh Tang, Carey E. Priebe, Youngser Park, Joshua T. Vogelstein, Keith D. Levin, Vince Lyzinski, Yichen Qin, Daniel L. Sussman:
Statistical Inference on Random Dot Product Graphs: a Survey. J. Mach. Learn. Res. 18: 226:1-226:92 (2017) - [i2]Vince Lyzinski, Daniel L. Sussman:
Graph matching the matchable nodes when some nodes are unmatchable. CoRR abs/1705.02294 (2017) - 2015
- [j3]Vince Lyzinski, Daniel L. Sussman, Donniell E. Fishkind, Henry Pao, Li Chen, Joshua T. Vogelstein, Youngser Park, Carey E. Priebe:
Spectral clustering for divide-and-conquer graph matching. Parallel Comput. 47: 70-87 (2015) - 2014
- [j2]Daniel L. Sussman, Minh Tang, Carey E. Priebe:
Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 48-57 (2014) - 2013
- [j1]Donniell E. Fishkind, Daniel L. Sussman, Minh Tang, Joshua T. Vogelstein, Carey E. Priebe:
Consistent Adjacency-Spectral Partitioning for the Stochastic Block Model When the Model Parameters Are Unknown. SIAM J. Matrix Anal. Appl. 34(1): 23-39 (2013) - [c3]Disa Mhembere, William R. Gray Roncal, Daniel L. Sussman, Carey E. Priebe, Rex E. Jung, Sephira Ryman, R. Jacob Vogelstein, Joshua T. Vogelstein, Randal C. Burns:
Computing scalable multivariate glocal invariants of large (brain-) graphs. GlobalSIP 2013: 297-300 - [i1]Disa Mhembere, William R. Gray Roncal, Daniel L. Sussman, Carey E. Priebe, Rex E. Jung, Sephira Ryman, R. Jacob Vogelstein, Joshua T. Vogelstein, Randal C. Burns:
Computing Scalable Multivariate Glocal Invariants of Large (Brain-) Graphs. CoRR abs/1312.4318 (2013) - 2010
- [c2]Daniel Lewis Sussman, Jianhua Yao, Ronald M. Summers:
Automated measurement and segmentation of abdominal adipose tissue in MRI. ISBI 2010: 936-939 - [c1]Daniel Lewis Sussman, Jianhua Yao, Ronald M. Summers:
Automated fat measurement and segmentation with intensity inhomogeneity correction. Medical Imaging: Image Processing 2010: 76233X
Coauthor Index
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last updated on 2023-09-27 22:51 CEST by the dblp team
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