Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors

28 May 2018

Papers citing "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"

50 / 92 papers shown

Title
DnD Filter: Differentiable State Estimation for Dynamic Systems using Diffusion Models Ziyu Wan Lin Zhao DiffM 71 0 0 03 Mar 2025
Flow-based Bayesian filtering for high-dimensional nonlinear stochastic dynamical systems Xintong Wang Xiaofei Guan Ling Guo Hao Wu BDL 51 0 0 22 Feb 2025
Learning to be Smooth: An End-to-End Differentiable Particle Smoother Ali Younis Erik B. Sudderth AI4TS 40 0 0 14 Feb 2025
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
Simplified POMDP Planning with an Alternative Observation Space and Formal Performance Guarantees Da Kong Vadim Indelman 27 0 0 10 Oct 2024
Learning Flock: Enhancing Sets of Particles for Multi~Sub-State Particle Filtering with Neural Augmentation Itai Nuri Nir Shlezinger 26 0 0 21 Aug 2024
Regime Learning for Differentiable Particle Filters John-Joseph Brady Yuhui Luo Wenwu Wang Victor Elvira Yunpeng Li 28 0 0 08 May 2024
Revisiting semi-supervised training objectives for differentiable particle filters Jiaxi Li John-Joseph Brady Xiongjie Chen Yunpeng Li 26 1 0 02 May 2024
Resampling-free Particle Filters in High-dimensions Akhilan Boopathy Aneesh Muppidi Peggy Yang Abhiram Iyer William Yue Ila Fiete 31 2 0 21 Apr 2024
Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes Ali Younis Erik B. Sudderth 28 4 0 12 Apr 2024
The Artificial Neural Twin -- Process Optimization and Continual Learning in Distributed Process Chains Johannes Emmert Ronald Mendez Houman Mirzaalian Dastjerdi Christopher Syben Andreas K. Maier AI4CE 18 0 0 27 Mar 2024
Multi-AGV Path Planning Method via Reinforcement Learning and Particle Filters Shao Shuo 21 1 0 27 Mar 2024
Splat-Nav: Safe Real-Time Robot Navigation in Gaussian Splatting Maps Timothy Chen O. Shorinwa Joseph Bruno Javier Yu Weijia Zeng Weijia Zeng Keiko Nagami Mac Schwager Mac Schwager 3DGS 35 31 0 05 Mar 2024
Differentiable Particle Filtering using Optimal Placement Resampling Domonkos Csuzdi Olivér Törő Tamás Bécsi 26 0 0 26 Feb 2024
Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving Zhiyu Huang Chen Tang Chen Lv Masayoshi Tomizuka Wei Zhan 34 5 0 27 Jan 2024
Learning Differentiable Particle Filter on the Fly Jiaxi Li Xiongjie Chen Yunpeng Li 23 1 0 10 Dec 2023
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice Idan Lev-Yehudi Moran Barenboim Vadim Indelman 25 6 0 13 Nov 2023
Multimodal Learning of Soft Robot Dynamics using Differentiable Filters Xiao Liu Yifan Zhou Shuhei Ikemoto H. B. Amor 8 0 0 12 Nov 2023
Audio-Visual Speaker Tracking: Progress, Challenges, and Future Directions Jinzheng Zhao Yong-mei Xu Xinyuan Qian Davide Berghi Peipei Wu Meng Cui Jianyuan Sun Philip J. B. Jackson Wenwu Wang BDL 37 7 0 23 Oct 2023
Streaming Motion Forecasting for Autonomous Driving Ziqi Pang Deva Ramanan Mengtian Li Yu-xiong Wang AI4TS 26 6 0 02 Oct 2023
Learning Covariances for Estimation with Constrained Bilevel Optimization Mohamad Qadri Zachary Manchester Michael Kaess 26 4 0 18 Sep 2023
Deep Learning for Visual Localization and Mapping: A Survey Changhao Chen Bing Wang Chris Xiaoxuan Lu Niki Trigoni Andrew Markham HAI 32 25 0 27 Aug 2023
Enhancing State Estimation in Robots: A Data-Driven Approach with Differentiable Ensemble Kalman Filters Xinyu Liu Geoffrey Clark Joseph Campbell Yifan Zhou H. B. Amor 23 10 0 19 Aug 2023
Learning Soft Robot Dynamics using Differentiable Kalman Filters and Spatio-Temporal Embeddings Xinyu Liu Shuhei Ikemoto Yuhei Yoshimitsu H. B. Amor 40 5 0 19 Aug 2023
Push to know! -- Visuo-Tactile based Active Object Parameter Inference with Dual Differentiable Filtering Anirvan Dutta Etienne Burdet Mohsen Kaboli 11 7 0 02 Aug 2023
Dextrous Tactile In-Hand Manipulation Using a Modular Reinforcement Learning Architecture Johannes Pitz Lennart Röstel Leon Sievers Berthold Bäuml 12 31 0 08 Mar 2023
DNBP: Differentiable Nonparametric Belief Propagation Anthony Opipari Jana Pavlasek Chao Chen Shoutian Wang Karthik Desingh Odest Chadwicke Jenkins 6 3 0 08 Mar 2023
Differentiable Bootstrap Particle Filters for Regime-Switching Models Wenhan Li Xiongjie Chen Wenwu Wang Victor Elvira Yunpeng Li 38 6 0 20 Feb 2023
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference Xiongjie Chen Yunpeng Li 28 14 0 19 Feb 2023
A Survey on Global LiDAR Localization: Challenges, Advances and Open Problems Huan Yin Xuecheng Xu Shan Lu Xieyuanli Chen R. Xiong Shaojie Shen C. Stachniss Yue Wang 31 64 0 15 Feb 2023
Unsupervised Learning of Sampling Distributions for Particle Filters Fernando Gama Nicolas Zilberstein Martín Sevilla Richard Baraniuk Santiago Segarra 33 9 0 02 Feb 2023
Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving Angad Singh Omar Makhlouf Maximilian Igl Joao Messias Arnaud Doucet Shimon Whiteson 47 2 0 14 Dec 2022
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles Peter Karkus B. Ivanovic Shie Mannor Marco Pavone 31 45 0 13 Dec 2022
Learnable Spatio-Temporal Map Embeddings for Deep Inertial Localization Dennis Melamed Karnik Ram Vivek Roy Kris M. Kitani 13 2 0 14 Nov 2022
MidasTouch: Monte-Carlo inference over distributions across sliding touch Sudharshan Suresh Zilin Si Stuart Anderson Michael Kaess Mustafa Mukadam 8 45 0 25 Oct 2022
Automatic Differentiation of Programs with Discrete Randomness Gaurav Arya Moritz Schauer Frank Schafer Chris Rackauckas 23 34 0 16 Oct 2022
Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural Systems W. Liu Zhilu Lai Kiran Bacsa Eleni Chatzi 30 16 0 09 Oct 2022
Active Particle Filter Networks: Efficient Active Localization in Continuous Action Spaces and Large Maps Daniel Honerkamp Suresh Guttikonda Abhinav Valada 25 2 0 20 Sep 2022
LASER: LAtent SpacE Rendering for 2D Visual Localization Zhixiang Min Naji Khosravan Zachary Bessinger Manjunath Narayana S. B. Kang Enrique Dunn Ivaylo Boyadzhiev 3DV 15 16 0 01 Apr 2022
Tactile Pose Estimation and Policy Learning for Unknown Object Manipulation Tarik Kelestemur Robert W. Platt T. Padır 8 32 0 21 Mar 2022
Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing Flow Xiongjie Chen Yunpeng Li 15 6 0 16 Mar 2022
Symbolic State Estimation with Predicates for Contact-Rich Manipulation Tasks Toki Migimatsu Wenzhao Lian Jeannette Bohg S. Schaal 24 10 0 04 Mar 2022
BADDr: Bayes-Adaptive Deep Dropout RL for POMDPs Sammie Katt Hai V. Nguyen F. Oliehoek Chris Amato BDL OffRL 8 1 0 17 Feb 2022
Compositional Learning-based Planning for Vision POMDPs Sampada Deglurkar M. H. Lim Johnathan Tucker Zachary Sunberg Aleksandra Faust Claire Tomlin 37 4 0 17 Dec 2021
Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters Conor Rosato Vincent Beraud P. Horridge Thomas B. Schon Simon Maskell 18 14 0 02 Nov 2021
Online Variational Filtering and Parameter Learning Andrew Campbell Yuyang Shi Tom Rainforth Arnaud Doucet BDL 27 21 0 26 Oct 2021
Unrolling Particles: Unsupervised Learning of Sampling Distributions Fernando Gama Nicolas Zilberstein Richard G. Baraniuk Santiago Segarra 17 7 0 06 Oct 2021
Variational Marginal Particle Filters Jinlin Lai Justin Domke Daniel Sheldon 33 9 0 30 Sep 2021
Learning Interpretable BEV Based VIO without Deep Neural Networks Zexi Chen Haozhe Du Xuecheng Xu R. Xiong Yiyi Liao Yue Wang 11 3 0 25 Sep 2021
Koopman Linearization for Data-Driven Batch State Estimation of Control-Affine Systems Zixiang Guo Vassili Korotkine James Richard Forbes T. Barfoot 24 11 0 14 Sep 2021