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Bayesian community detection for networks with covariates


Mar 04, 2022
Luyi Shen, Arash Amini, Nathaniel Josephs, Lizhen Lin


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Robustness against Adversarial Attacks in Neural Networks using Incremental Dissipativity


Nov 25, 2021
Bernardo Aquino, Arash Rahnama, Peter Seiler, Lizhen Lin, Vijay Gupta


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Adaptive variational Bayes: Optimality, computation and applications


Sep 07, 2021
Ilsang Ohn, Lizhen Lin


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Training Graph Neural Networks by Graphon Estimation


Sep 04, 2021
Ziqing Hu, Yihao Fang, Lizhen Lin


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A likelihood approach to nonparametric estimation of a singular distribution using deep generative models


May 09, 2021
Minwoo Chae, Dongha Kim, Yongdai Kim, Lizhen Lin

* 33 pages, 12 figures, 1 table 

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Accelerated Algorithms for Convex and Non-Convex Optimization on Manifolds


Oct 18, 2020
Lizhen Lin, Bayan Saparbayeva, Michael Minyi Zhang, David B. Dunson


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Community detection, pattern recognition, and hypergraph-based learning: approaches using metric geometry and persistent homology


Sep 29, 2020
Dong Quan Ngoc Nguyen, Lin Xing, Lizhen Lin


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Weight Prediction for Variants of Weighted Directed Networks


Sep 29, 2020
Dong Quan Ngoc Nguyen, Lin Xing, Lizhen Lin


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Neural Time-Dependent Partial Differential Equation


Sep 08, 2020
Yihao Hu, Tong Zhao, Zhiliang Xu, Lizhen Lin


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Optimization of Graph Neural Networks with Natural Gradient Descent


Aug 21, 2020
Mohammad Rasool Izadi, Yihao Fang, Robert Stevenson, Lizhen Lin


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