Daniel Lewis Sussman

Orcid: 0000-0002-8307-2610

Affiliations:
  • National Institutes of Health, Radiology and Imaging Sciences, Clinical Center, Bethesda, MD, USA
  • Harvard University, Statistics Department, Cambridge, MA, USA
  • Johns Hopkins University, Department of Mathematics & Statistics, USA (PhD 2014)
  • Cornell University, Department of mathematics, Ithaca, NY, USA (former)


According to our database1, Daniel Lewis Sussman authored at least 17 papers between 2010 and 2024.

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Bibliography

2024
Gotta Match 'Em All: Solution Diversification in Graph Matching Matched Filters.
IEEE Trans. Signal Inf. Process. over Networks, 2024

2023
Ergodic Limits, Relaxations, and Geometric Properties of Random Walk Node Embeddings.
IEEE Trans. Netw. Sci. Eng., 2023

Estimation of the Branching Factor in Noisy Networks.
IEEE Trans. Netw. Sci. Eng., 2023

2022
Multiplex graph matching matched filters.
Appl. Netw. Sci., 2022

2021
Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks.
J. Comput. Graph. Stat., 2021

2020
Matched Filters for Noisy Induced Subgraph Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

2019
Connectome Smoothing via Low-Rank Approximations.
IEEE Trans. Medical Imaging, 2019

Multiplex graph matching matched filters.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Graph Matching via Multi-Scale Heat Diffusion.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2017
Statistical Inference on Random Dot Product Graphs: a Survey.
J. Mach. Learn. Res., 2017

Graph matching the matchable nodes when some nodes are unmatchable.
CoRR, 2017

2015
Spectral clustering for divide-and-conquer graph matching.
Parallel Comput., 2015

2014
Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

2013
Consistent Adjacency-Spectral Partitioning for the Stochastic Block Model When the Model Parameters Are Unknown.
SIAM J. Matrix Anal. Appl., 2013

Computing scalable multivariate glocal invariants of large (brain-) graphs.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2010
Automated fat measurement and segmentation with intensity inhomogeneity correction.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

Automated measurement and segmentation of abdominal adipose tissue in MRI.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010


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