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Revisiting semi-supervised training objectives for differentiable
  particle filters

Revisiting semi-supervised training objectives for differentiable particle filters

International Conference on Security and Management (SAM), 2024
2 May 2024
Jiaxi Li
John-Joseph Brady
Xiongjie Chen
Yunpeng Li
ArXiv (abs)PDFHTML

Papers citing "Revisiting semi-supervised training objectives for differentiable particle filters"

2 / 2 papers shown
Title
PyDPF: A Python Package for Differentiable Particle Filtering
PyDPF: A Python Package for Differentiable Particle Filtering
John-Joseph Brady
Benjamin Cox
Victor Elvira
Yunpeng Li
114
1
0
29 Oct 2025
Enhanced SMC$^2$: Leveraging Gradient Information from Differentiable
  Particle Filters Within Langevin Proposals
Enhanced SMC2^22: Leveraging Gradient Information from Differentiable Particle Filters Within Langevin Proposals
Conor Rosato
Joshua Murphy
Alessandro Varsi
P. Horridge
Simon Maskell
245
6
0
24 Jul 2024
1