46 citations · 144 across the 32 of their papers we have counts for
34 papers
Belief Propagation for Approximate Inference
Dong Liu, Minh Thành Vu, Zuxing Li +1
Belief propagation (BP) algorithm is a widely used message-passing method for inference in graphical models. BP on loop-free graphs converges in linear time. But for graphs with lo…
Region-based Energy Neural Network for Approximate Inference
Dong Liu, Ragnar Thobaben, Lars K. Rasmussen
Region-based free energy was originally proposed for generalized belief propagation (GBP) to improve loopy belief propagation (loopy BP). In this paper, we propose a neural network…
Will Scale-free Popularity Develop Scale-free Geo-social Networks?
Dong Liu, Viktoria Fodor, Lars K. Rasmussen
Empirical results show that spatial factors such as distance, population density and communication range affect our social activities, also reflected by the development of ties in…
On Dominant Interference in Random Networks and Communication Reliability
Dong Liu, Baptiste Cavarec, Lars K. Rasmussen +1
In this paper, we study the characteristics of dominant interference power with directional reception in a random network modelled by a Poisson Point Process. Additionally, the Lap…
Powering Hidden Markov Model by Neural Network based Generative Models
Dong Liu, Antoine Honoré, Saikat Chatterjee +1
Hidden Markov model (HMM) has been successfully used for sequential data modeling problems. In this work, we propose to power the modeling capacity of HMM by bringing in neural net…
Belief Propagation as Fully Factorized Approximation
Dong Liu, Nima N. Moghadam, Lars K. Rasmussen +2
Belief propagation (BP) can do exact inference in loop-free graphs, but its performance could be poor in graphs with loops, and the understanding of its solution is limited. This w…