4 citations · 7 across the 7 of their papers we have counts for
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math.NA2021
An adaptive mixture-population Monte Carlo method for likelihood-free inference
Zhijian He, Shifeng Huo, Tianhui Yang
This paper focuses on variational inference with intractable likelihood functions that can be unbiasedly estimated. A flexible variational approximation based on Gaussian mixtures…
math.NA2021
Unbiased MLMC-based variational Bayes for likelihood-free inference
Zhijian He, Zhenghang Xu, Xiaoqun Wang
Variational Bayes (VB) is a popular tool for Bayesian inference in statistical modeling. Recently, some VB algorithms are proposed to handle intractable likelihoods with applicatio…
cs.CV2021★ 1 cited
Comparing Representations in Tracking for Event Camera-based SLAM
Jianhao Jiao, Huaiyang Huang, Liang Li +3
This paper investigates two typical image-type representations for event camera-based tracking: time surface (TS) and event map (EM). Based on the original TS-based tracker, we mak…