Differentiable Particle Filtering using Optimal Placement Resampling

Domonkos Csuzdi, Olivér Törő, Tamás Bécsi

Particle filters are a frequent choice for inference tasks in nonlinear and non-Gaussian state-space models. They can either be used for state inference by approximating the filter…