Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks

16 January 2013

Papers citing "Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks"

45 / 45 papers shown

Title
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models Jinlin Lai Justin Domke Daniel Sheldon 38 0 0 31 Oct 2024
Rao-Blackwellized POMDP Planning Jiho Lee Nisar R. Ahmed Kyle H. Wray Zachary Sunberg 21 1 0 24 Sep 2024
A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence Sangwoo Shin H. Hino 32 0 0 02 Aug 2024
Deep Learning-Based Object Pose Estimation: A Comprehensive Survey Jian Liu Wei Sun Hui Yang Zhiwen Zeng Chongpei Liu Jin Zheng Xingyu Liu Hossein Rahmani N. Sebe Ajmal Mian 46 15 0 13 May 2024
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 55 55 0 10 Oct 2023
Multiparticle Kalman filter for object localization in symmetric environments Roman Korkin Ivan Oseledets Aleksandr Katrutsa 18 6 0 14 Mar 2023
Auxiliary MCMC and particle Gibbs samplers for parallelisable inference in latent dynamical systems Adrien Corenflos Simo Särkkä 18 0 0 01 Mar 2023
Differentiable Bootstrap Particle Filters for Regime-Switching Models Wenhan Li Xiongjie Chen Wenwu Wang Victor Elvira Yunpeng Li 43 6 0 20 Feb 2023
Sequential Estimation of Gaussian Process-based Deep State-Space Models Yuhao Liu Marzieh Ajirak P. Djuric 26 12 0 29 Jan 2023
Ambiguity-Aware Multi-Object Pose Optimization for Visually-Assisted Robot Manipulation Myung-Hwan Jeon Jeong-Man Kim J. Ryu Ayoung Kim 27 7 0 02 Nov 2022
Continuous-time Particle Filtering for Latent Stochastic Differential Equations Ruizhi Deng Greg Mori Andreas M. Lehrmann BDL 25 0 0 01 Sep 2022
Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation F. A. Maken Fabio Ramos Lionel Ott 37 19 0 09 Feb 2022
Deep Explicit Duration Switching Models for Time Series Abdul Fatir Ansari Konstantinos Benidis Richard Kurle Ali Caner Turkmen Harold Soh Alex Smola Yuyang Wang Tim Januschowski BDL 16 19 0 26 Oct 2021
DNN-assisted Particle-based Bayesian Joint Synchronization and Localization M. Goodarzi V. Sark N. Maletic Jesús Gutiérrez Giuseppe Caire E. Grass 16 4 0 29 Sep 2021
Towards Collaborative Simultaneous Localization and Mapping: a Survey of the Current Research Landscape Pierre-Yves Lajoie Benjamin Ramtoula Fang Wu Giovanni Beltrame 23 61 0 18 Aug 2021
Partition Function Estimation: A Quantitative Study Durgesh Kumar Agrawal Yash Pote Kuldeep S. Meel 28 11 0 24 May 2021
Language Understanding for Field and Service Robots in a Priori Unknown Environments Matthew R. Walter Siddharth Patki Andrea F. Daniele E. Fahnestock Felix Duvallet Sachithra Hemachandra Jean Oh A. Stentz Nicholas Roy T. Howard LM&Ro 22 8 0 21 May 2021
Advances in Importance Sampling Victor Elvira Luca Martino AI4TS 45 103 0 10 Feb 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey Sourav Garg Niko Sünderhauf Feras Dayoub D. Morrison Akansel Cosgun ... Tat-Jun Chin Ian Reid Stephen Gould Peter Corke Michael Milford 24 115 0 02 Jan 2021
Variational Inference and Learning of Piecewise-linear Dynamical Systems Xavier Alameda-Pineda Vincent Drouard Radu Horaud 21 12 0 02 Jun 2020
Parameter elimination in particle Gibbs sampling A. Wigren Riccardo Sven Risuleo Lawrence M. Murray Fredrik Lindsten 27 15 0 30 Oct 2019
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems Zhe Dong Bryan Seybold Kevin Patrick Murphy Hung Bui BDL 32 30 0 21 Oct 2019
Multi-resolution filters for massive spatio-temporal data M. Jurek Matthias Katzfuss 14 24 0 09 Oct 2018
Unifying Map and Landmark Based Representations for Visual Navigation Saurabh Gupta David Fouhey Sergey Levine Jitendra Malik 26 76 0 21 Dec 2017
Ensemble-marginalized Kalman filter for linear time-dependent PDEs with noisy boundary conditions: Application to heat transfer in building walls M. Iglesias Zaid Sawlan M. Scavino Raúl Tempone C. Wood 16 8 0 26 Nov 2017
Tracking Multiple Vehicles Using a Variational Radar Model A. Scheel Klaus C. J. Dietmayer 32 59 0 10 Nov 2017
Ensemble Kalman methods for high-dimensional hierarchical dynamic space-time models Matthias Katzfuss Jonathan R. Stroud C. Wikle 6 67 0 23 Apr 2017
Warped Gaussian Processes Occupancy Mapping with Uncertain Inputs M. G. Jadidi Jaime Valls Miro G. Dissanayake 21 26 0 04 Jan 2017
Increasing the Efficiency of 6-DoF Visual Localization Using Multi-Modal Sensory Data R. Clark Sen Wang Hongkai Wen A. Trigoni Andrew Markham 8 8 0 29 Dec 2016
Probabilistic Articulated Real-Time Tracking for Robot Manipulation C. Cifuentes J. Issac Manuel Wüthrich S. Schaal Jeannette Bohg 14 72 0 16 Oct 2016
Particle Filtering with Invertible Particle Flow Yunpeng Li Mark J. Coates 26 63 0 29 Jul 2016
Enhancement of Low-cost GNSS Localization in Connected Vehicle Networks Using Rao-Blackwellized Particle Filters Macheng Shen Ding Zhao Jing Sun 11 10 0 12 Jun 2016
Statistical Inference for Oscillation Processes R. Dahlhaus T. Dumont Sylvain Le Corff Jan C. Neddermeyer 19 6 0 16 Dec 2014
Combining Particle MCMC with Rao-Blackwellized Monte Carlo Data Association for Parameter Estimation in Multiple Target Tracking Juho Kokkala Simo Särkkä 24 24 0 30 Sep 2014
Sequential Bayesian inference for static parameters in dynamic state space models Arnab Bhattacharya Simon P. Wilson 23 5 0 20 Aug 2014
Time-varying Learning and Content Analytics via Sparse Factor Analysis Andrew S. Lan Christoph Studer Richard G. Baraniuk 50 61 0 19 Dec 2013
Online Bayesian Passive-Aggressive Learning Tianlin Shi Jun Zhu 61 38 0 12 Dec 2013
Fighting Sample Degeneracy and Impoverishment in Particle Filters: A Review of Intelligent Approaches Tiancheng Li Shudong Sun T. Sattar J. Corchado 54 224 0 12 Aug 2013
Asynchronous Dynamic Bayesian Networks Avi Pfeffer T. Tai 21 25 0 04 Jul 2012
Approximate Inference Algorithms for Hybrid Bayesian Networks with Discrete Constraints Vibhav Gogate R. Dechter TPM 37 45 0 04 Jul 2012
Cutset Sampling with Likelihood Weighting Bozhena Bidyuk R. Dechter 63 6 0 27 Jun 2012
Sampling First Order Logical Particles Hannaneh Hajishirzi Eyal Amir 53 15 0 13 Jun 2012
Decentralized, Adaptive, Look-Ahead Particle Filtering Mohamed Osama Ahmed Pouyan T. Bibalan Nando de Freitas Simon Fauvel 34 3 0 12 Mar 2012
On Disturbance State-Space Models and the Particle Marginal Metropolis-Hastings Sampler Lawrence M. Murray E. Jones J. Parslow 45 31 0 28 Feb 2012
Bayesian Nonparametric Inference of Switching Linear Dynamical Systems E. Fox Erik B. Sudderth Michael I. Jordan A. Willsky 45 243 0 19 Mar 2010