Progressive Bayesian Particle Flows Based on Optimal Transport Map Sequences

Author:

Hanebeck Uwe D.1

Affiliation:

1. Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology (KIT),Intelligent Sensor-Actuator-Systems Laboratory (ISAS),Germany

Publisher

IEEE

Reference27 articles.

1. Particle flow for nonlinear filters with log-homotopy

2. Normalizing Flows for Probabilistic Modeling and Inference;papamakarios;The Journal of Machine Learning Research 22 1,2021

3. Seven Dubious Methods to Mitigate Stiffness in Particle Flow with Non-Zero Diffusion for Nonlinear Filters, Bayesian Decisions, and Transport;daum;Signal and Data Processing of Small Targets 2014 SPIE Defense + Security,2014

4. Gradient estimation for particle flow induced by log-homotopy for nonlinear filters

5. Variational Inference with Normalizing Flows;rezende;International Conference on Machine Learning,2015

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Progressive Particle Filtering Using Projected Cumulative Distributions;2023 IEEE Symposium Sensor Data Fusion and International Conference on Multisensor Fusion and Integration (SDF-MFI);2023-11-27

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