Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation

9 February 2022

Papers citing "Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation"

9 / 9 papers shown

Title
Permutation Invariant Learning with High-Dimensional Particle Filters Akhilan Boopathy Aneesh Muppidi Peggy Yang Abhiram Iyer William Yue Ila R Fiete SSL 36 0 0 30 Oct 2024
The Harmonic Exponential Filter for Nonparametric Estimation on Motion Groups Miguel A. Saavedra-Ruiz Steven A. Parkison Ria Arora James Richard Forbes Liam Paull 23 0 0 01 Aug 2024
MegaParticles: Range-based 6-DoF Monte Carlo Localization with GPU-Accelerated Stein Particle Filter Kenji Koide Shuji Oishi Masashi Yokozuka A. Banno 33 1 0 25 Apr 2024
Resampling-free Particle Filters in High-dimensions Akhilan Boopathy Aneesh Muppidi Peggy Yang Abhiram Iyer William Yue Ila Fiete 36 2 0 21 Apr 2024
Tightly Coupled Range Inertial Localization on a 3D Prior Map Based on Sliding Window Factor Graph Optimization Kenji Koide Shuji Oishi Masashi Yokozuka A. Banno 22 7 0 08 Feb 2024
Stein-MAP: A Sequential Variational Inference Framework for Maximum A Posteriori Estimation Min-Won Seo Solmaz S. Kia 32 2 0 14 Dec 2023
The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth Milad Ramezani Yiduo Wang Marco Camurri David Wisth Matías Mattamala Maurice F. Fallon 3DV 70 189 0 12 Mar 2020
A Stein variational Newton method Gianluca Detommaso Tiangang Cui Alessio Spantini Youssef Marzouk Robert Scheichl 61 114 0 08 Jun 2018
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann A. Gretton BDL 107 324 0 09 Feb 2016