Daniel L. Sussman

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 15

Top Topics

Maximum Likelihood

Matched Filters

Graph Edit Distance

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

IEEE Trans. Netw. Sci. Eng.

Publications

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) (2023)
Zhirui Li, Ben Johnson, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski
Gotta match 'em all: Solution diversification in graph matching matched filters. CoRR (2023)
Wenrui Li, Daniel L. Sussman, Eric D. Kolaczyk
Estimation of the Branching Factor in Noisy Networks. IEEE Trans. Netw. Sci. Eng. 10 (1) (2023)
Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Zhirui Li, Carey E. Priebe, Vince Lyzinski
Multiplex graph matching matched filters. Appl. Netw. Sci. 7 (1) (2022)
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) (2021)
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) (2020)
Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Carey E. Priebe, Vince Lyzinski
Multiplex graph matching matched filters. IEEE BigData (2019)
Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Carey E. Priebe, Vince Lyzinski
Multiplex graph matching matched filters. CoRR (2019)
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) (2019)
Lin Li, Daniel L. Sussman
Graph Matching via Multi-Scale Heat Diffusion. IEEE BigData (2019)
Daniel L. Sussman, Vince Lyzinski, Youngser Park, Carey E. Priebe
Matched Filters for Noisy Induced Subgraph Detection. CoRR (2018)
Jesús Arroyo, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski
Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks. CoRR (2018)
Vince Lyzinski, Daniel L. Sussman
Graph matching the matchable nodes when some nodes are unmatchable. CoRR (2017)
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 (2017)
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 (2015)
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) (2014)
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) (2013)
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)
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 (2013)