66 citations · 527 across the 56 of their papers we have counts for
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Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions
Huangjie Zheng, Mingyuan Zhou
To measure the difference between two probability distributions, referred to as the source and target, respectively, we exploit both the chain rule and Bayes' theorem to construct…
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference
Ali Lotfi Rezaabad, Rahi Kalantari, Sriram Vishwanath +2
Efficient modeling of relational data arising in physical, social, and information sciences is challenging due to complicated dependencies within the data. In this work, we build o…
Convex Polytope Trees
Mohammadreza Armandpour, Mingyuan Zhou
A decision tree is commonly restricted to use a single hyperplane to split the covariate space at each of its internal nodes. It often requires a large number of nodes to achieve h…
Bayesian Attention Modules
Xinjie Fan, Shujian Zhang, Bo Chen +1
Attention modules, as simple and effective tools, have not only enabled deep neural networks to achieve state-of-the-art results in many domains, but also enhanced their interpreta…
MCMC-Interactive Variational Inference
Quan Zhang, Huangjie Zheng, Mingyuan Zhou
Leveraging well-established MCMC strategies, we propose MCMC-interactive variational inference (MIVI) to not only estimate the posterior in a time constrained manner, but also faci…
Variational Temporal Deep Generative Model for Radar HRRP Target Recognition
Dandan Guo, Bo Chen, Wenchao Chen +3
We develop a recurrent gamma belief network (rGBN) for radar automatic target recognition (RATR) based on high-resolution range profile (HRRP), which characterizes the temporal dep…