research
∙
06/27/2020
α Belief Propagation for Approximate Inference
Belief propagation (BP) algorithm is a widely used message-passing metho...
share
research
∙
06/17/2020
Region-based Energy Neural Network for Approximate Inference
Region-based free energy was originally proposed for generalized belief ...
research
∙
03/03/2020
Will Scale-free Popularity Develop Scale-free Geo-social Networks?
Empirical results show that spatial factors such as distance, population...
research
∙
03/03/2020
On Dominant Interference in Random Networks and Communication Reliability
In this paper, we study the characteristics of dominant interference pow...
research
∙
10/13/2019
Powering Hidden Markov Model by Neural Network based Generative Models
Hidden Markov model (HMM) has been successfully used for sequential data...
research
∙
08/23/2019
α Belief Propagation as Fully Factorized Approximation
Belief propagation (BP) can do exact inference in loop-free graphs, but ...
research
∙
07/31/2019
Neural Network based Explicit Mixture Models and Expectation-maximization based Learning
We propose two neural network based mixture models in this article. The ...
research
∙
11/16/2018
Entropy-regularized Optimal Transport Generative Models
We investigate the use of entropy-regularized optimal transport (EOT) co...
research
∙
03/31/2018
Locally Convex Sparse Learning over Networks
We consider a distributed learning setup where a sparse signal is estima...
research
∙
02/27/2018
Golden Angle Modulation: Approaching the AWGN Capacity
In this work, targeting, e.g., future generation cellular, microwave-lin...
research
∙
09/22/2017