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Particle Filter Recurrent Neural Networks

Particle Filter Recurrent Neural Networks

30 May 2019
Xiao Ma
Peter Karkus
David Hsu
Wee Sun Lee
ArXivPDFHTML

Papers citing "Particle Filter Recurrent Neural Networks"

19 / 19 papers shown
Title
PF-GNN: Differentiable particle filtering based approximation of
  universal graph representations
PF-GNN: Differentiable particle filtering based approximation of universal graph representations
Mohammed Haroon Dupty
Yanfei Dong
W. Lee
26
13
0
31 Jan 2024
Audio-Visual Speaker Tracking: Progress, Challenges, and Future Directions
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
42
7
0
23 Oct 2023
Differentiable Bootstrap Particle Filters for Regime-Switching Models
Differentiable Bootstrap Particle Filters for Regime-Switching Models
Wenhan Li
Xiongjie Chen
Wenwu Wang
Victor Elvira
Yunpeng Li
43
6
0
20 Feb 2023
Hidden State Approximation in Recurrent Neural Networks Using Continuous
  Particle Filtering
Hidden State Approximation in Recurrent Neural Networks Using Continuous Particle Filtering
Dexun Li
BDL
AI4TS
12
0
0
18 Dec 2022
Particle-Based Score Estimation for State Space Model Learning in
  Autonomous Driving
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
Differentiable Parsing and Visual Grounding of Natural Language
  Instructions for Object Placement
Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement
Zirui Zhao
W. Lee
David Hsu
OOD
32
9
0
01 Oct 2022
Flow-based Recurrent Belief State Learning for POMDPs
Flow-based Recurrent Belief State Learning for POMDPs
Xiaoyu Chen
Yao Mu
Ping Luo
Sheng Li
Jianyu Chen
43
18
0
23 May 2022
Efficient Learning of the Parameters of Non-Linear Models using
  Differentiable Resampling in Particle Filters
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
Learning to Assimilate in Chaotic Dynamical Systems
Learning to Assimilate in Chaotic Dynamical Systems
Michael McCabe
Jed Brown
AI4TS
33
10
0
01 Nov 2021
Unrolling Particles: Unsupervised Learning of Sampling Distributions
Unrolling Particles: Unsupervised Learning of Sampling Distributions
Fernando Gama
Nicolas Zilberstein
Richard G. Baraniuk
Santiago Segarra
17
7
0
06 Oct 2021
Differentiable Particle Filters through Conditional Normalizing Flow
Differentiable Particle Filters through Conditional Normalizing Flow
Xiongjie Chen
Hao Wen
Yunpeng Li
23
20
0
01 Jul 2021
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting
Soumyasundar Pal
Liheng Ma
Yingxue Zhang
Mark J. Coates
BDL
AI4TS
31
22
0
10 Jun 2021
Learning Latent Graph Dynamics for Visual Manipulation of Deformable
  Objects
Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects
Xiao Ma
David Hsu
W. Lee
AI4CE
34
28
0
25 Apr 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal
  Transport
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport
Adrien Corenflos
James Thornton
George Deligiannidis
Arnaud Doucet
OT
41
66
0
15 Feb 2021
End-To-End Semi-supervised Learning for Differentiable Particle Filters
End-To-End Semi-supervised Learning for Differentiable Particle Filters
Hao Wen
Xiongjie Chen
Georgios Papagiannis
Conghui Hu
Yunpeng Li
33
17
0
11 Nov 2020
Multimodal Sensor Fusion with Differentiable Filters
Multimodal Sensor Fusion with Differentiable Filters
Michelle A. Lee
Brent Yi
Roberto Martín-Martín
Silvio Savarese
Jeannette Bohg
27
59
0
25 Oct 2020
Complex Sequential Data Analysis: A Systematic Literature Review of
  Existing Algorithms
Complex Sequential Data Analysis: A Systematic Literature Review of Existing Algorithms
Kudakwashe Dandajena
I. Venter
Mehrdad Ghaziasgar
Reg Dodds
AI4TS
21
2
0
22 Jul 2020
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory
  Prediction
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
Cunjun Yu
Xiao Ma
Jiawei Ren
Haiyu Zhao
Shuai Yi
26
459
0
18 May 2020
Towards Differentiable Resampling
Towards Differentiable Resampling
Michael Zhu
Kevin Patrick Murphy
Rico Jonschkowski
11
27
0
24 Apr 2020
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