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Vince Lyzinski

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IEEE Transactions on Pattern Analysis and Machine Intelligence|December 12, 2025
Detection of Model-based Planted Pseudo-cliques in Random Dot Product Graphs by the Adjacency Spectral Embedding and the Graph Encoder EmbeddingTong Qi, Vince Lyzinski
Information and Inference : a Journal of the IMA|December 21, 2020
Matchability of heterogeneous networks pairsVince Lyzinski, Daniel L Sussman
IEEE Transactions on Network Science and Engineering|February 28, 2022
Graph Matching between Bipartite and Unipartite Networks: to Collapse, or not to Collapse, that is the QuestionJesús Arroyo, Carey E Priebe, Vince Lyzinski
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 7, 2019
Matched Filters for Noisy Induced Subgraph DetectionDaniel L Sussman, Youngser Park, Carey E Priebe, et al.
Worm|July 8, 2016
A joint graph inference case study: the C. elegans chemical and electrical connectomesLi Chen, Joshua T Vogelstein, Vince Lyzinski, et al.
Biometrics|March 21, 2025
Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based matrix-on-vector regressionTong Lu, Yuan Zhang, Vince Lyzinski, et al.
Journal of Machine Learning Research : JMLR|August 30, 2023
The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple NetworksKonstantinos Pantazis, Avanti Athreya, Jesús Arroyo, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 15, 2015
Graph Matching: Relax at Your Own RiskVince Lyzinski, Donniell E Fishkind, Marcelo Fiori, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 10, 2019
On a two-truths phenomenon in spectral graph clusteringCarey E Priebe, Youngser Park, Joshua T Vogelstein, et al.
Plos One|April 18, 2015
Fast approximate quadratic programming for graph matchingJoshua T Vogelstein, John M Conroy, Vince Lyzinski, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 12, 2025
Detection of Model-based Planted Pseudo-cliques in Random Dot Product Graphs by the Adjacency Spectral Embedding and the Graph Encoder EmbeddingTong Qi, Vince Lyzinski
Information and Inference : a Journal of the IMA|December 21, 2020
Matchability of heterogeneous networks pairsVince Lyzinski, Daniel L Sussman
IEEE Transactions on Network Science and Engineering|February 28, 2022
Graph Matching between Bipartite and Unipartite Networks: to Collapse, or not to Collapse, that is the QuestionJesús Arroyo, Carey E Priebe, Vince Lyzinski
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 7, 2019
Matched Filters for Noisy Induced Subgraph DetectionDaniel L Sussman, Youngser Park, Carey E Priebe, et al.
Worm|July 8, 2016
A joint graph inference case study: the C. elegans chemical and electrical connectomesLi Chen, Joshua T Vogelstein, Vince Lyzinski, et al.
Biometrics|March 21, 2025
Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based matrix-on-vector regressionTong Lu, Yuan Zhang, Vince Lyzinski, et al.
Journal of Machine Learning Research : JMLR|August 30, 2023
The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple NetworksKonstantinos Pantazis, Avanti Athreya, Jesús Arroyo, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 15, 2015
Graph Matching: Relax at Your Own RiskVince Lyzinski, Donniell E Fishkind, Marcelo Fiori, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 10, 2019
On a two-truths phenomenon in spectral graph clusteringCarey E Priebe, Youngser Park, Joshua T Vogelstein, et al.
Plos One|April 18, 2015
Fast approximate quadratic programming for graph matchingJoshua T Vogelstein, John M Conroy, Vince Lyzinski, et al.
Pageof 1