Leveraging Nested MLMC for Sequential Neural Posterior Estimation with Intractable Likelihoods

no code implementations • 30 Jan 2024 • Xiliang Yang, Yifei Xiong, Zhijian He

Although atomic APT was proposed to solve this by discretizing the normalizing constant, it remains challenging to analyze the convergence of learning.

An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation

1 code implementation • 21 Nov 2023 • Yifei Xiong, Xiliang Yang, Sanguo Zhang, Zhijian He

Sequential neural posterior estimation (SNPE) techniques have been recently proposed for dealing with simulation-based models with intractable likelihoods.

Bayesian Inference

Comparing Representations in Tracking for Event Camera-based SLAM

1 code implementation • 20 Apr 2021 • Jianhao Jiao, Huaiyang Huang, Liang Li, Zhijian He, Yilong Zhu, Ming Liu

This paper investigates two typical image-type representations for event camera-based tracking: time surface (TS) and event map (EM).