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End-To-End Semi-supervised Learning for Differentiable Particle Filters
v1v2 (latest)

End-To-End Semi-supervised Learning for Differentiable Particle Filters

11 November 2020
Hao Wen
Xiongjie Chen
Georgios Papagiannis
Conghui Hu
Yunpeng Li
ArXiv (abs)PDFHTML

Papers citing "End-To-End Semi-supervised Learning for Differentiable Particle Filters"

9 / 9 papers shown
Revisiting semi-supervised training objectives for differentiable
  particle filters
Revisiting semi-supervised training objectives for differentiable particle filtersInternational Conference on Security and Management (SAM), 2024
Jiaxi Li
John-Joseph Brady
Xiongjie Chen
Yunpeng Li
208
2
0
02 May 2024
A Survey of Machine Learning Techniques for Improving Global Navigation
  Satellite Systems
A Survey of Machine Learning Techniques for Improving Global Navigation Satellite Systems
Adyasha Mohanty
Grace Gao
271
43
0
29 Mar 2024
Enhancing State Estimation in Robots: A Data-Driven Approach with
  Differentiable Ensemble Kalman Filters
Enhancing State Estimation in Robots: A Data-Driven Approach with Differentiable Ensemble Kalman FiltersIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Xinyu Liu
Geoffrey Clark
Joseph Campbell
Yifan Zhou
H. B. Amor
220
13
0
19 Aug 2023
Differentiable Bootstrap Particle Filters for Regime-Switching Models
Differentiable Bootstrap Particle Filters for Regime-Switching Models
Wenhan Li
Xiongjie Chen
Wenwu Wang
Victor Elvira
Yunpeng Li
380
9
0
20 Feb 2023
An overview of differentiable particle filters for data-adaptive
  sequential Bayesian inference
An overview of differentiable particle filters for data-adaptive sequential Bayesian inferenceFoundations of Data Science (FDS), 2023
Xiongjie Chen
Yunpeng Li
377
34
0
19 Feb 2023
Conditional Measurement Density Estimation in Sequential Monte Carlo via
  Normalizing Flow
Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing FlowEuropean Signal Processing Conference (EUSIPCO), 2022
Xiongjie Chen
Yunpeng Li
239
8
0
16 Mar 2022
Efficient Learning of the Parameters of Non-Linear Models using
  Differentiable Resampling in Particle Filters
Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle FiltersIEEE Transactions on Signal Processing (IEEE TSP), 2021
Conor Rosato
Vincent Beraud
P. Horridge
Thomas B. Schon
Simon Maskell
377
24
0
02 Nov 2021
Differentiable Particle Filters through Conditional Normalizing Flow
Differentiable Particle Filters through Conditional Normalizing Flow
Xiongjie Chen
Hao Wen
Yunpeng Li
367
26
0
01 Jul 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal
  Transport
Differentiable Particle Filtering via Entropy-Regularized Optimal TransportInternational Conference on Machine Learning (ICML), 2021
Adrien Corenflos
James Thornton
George Deligiannidis
Arnaud Doucet
OT
299
90
0
15 Feb 2021
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