253 citations · 451 across the 17 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
math.PR2020★ 5 cited
Investigating the integrate and fire model as the limit of a random discharge model: a stochastic analysis perspective
Jian-Guo Liu, Ziheng Wang, Yantong Xie +2
In the mean field integrate-and-fire model, the dynamics of a typical neuron within a large network is modeled as a diffusion-jump stochastic process whose jump takes place once th…
cs.LG2020★ 8 cited
SparseRT: Accelerating Unstructured Sparsity on GPUs for Deep Learning Inference
Ziheng Wang
In recent years, there has been a flurry of research in deep neural network pruning and compression. Early approaches prune weights individually. However, it is difficult to take a…
math.AP2020★ 2 cited
Rigorous justification of the Fokker-Planck equations of neural networks based on an iteration perspective
Jian-guo Liu, Ziheng Wang, Yuan Zhang +1
In this work, the primary goal is to establish rigorous connection between the Fokker-Planck equation of neural networks with its microscopic model: the diffusion-jump stochastic p…