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cs.LG2024
Revisiting semi-supervised training objectives for differentiable particle filters
Jiaxi Li, John-Joseph Brady, Xiongjie Chen +1
Differentiable particle filters combine the flexibility of neural networks with the probabilistic nature of sequential Monte Carlo methods. However, traditional approaches rely on…
cs.LG2024★ 2 cited
Normalizing Flow-based Differentiable Particle Filters
Xiongjie Chen, Yunpeng Li
Recently, there has been a surge of interest in incorporating neural networks into particle filters, e.g. differentiable particle filters, to perform joint sequential state estimat…