Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors

Author:

Jonschkowski Rico,Rastogi Divyam,Brock Oliver

Publisher

Robotics: Science and Systems Foundation

Cited by 34 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. Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving;IEEE Robotics and Automation Letters;2024-08

2. Revisiting semi-supervised training objectives for differentiable particle filters;2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM);2024-07-08

3. Differentiable Particle Filtering Using Optimal Placement Resampling;2024 IEEE 18th International Symposium on Applied Computational Intelligence and Informatics (SACI);2024-05-23

4. Resampling-free Particle Filters in High-dimensions;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. Learning Covariances for Estimation with Constrained Bilevel Optimization;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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