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…