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