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1905.12885
Cited By
Particle Filter Recurrent Neural Networks
30 May 2019
Xiao Ma
Peter Karkus
David Hsu
Wee Sun Lee
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Papers citing
"Particle Filter Recurrent Neural Networks"
19 / 19 papers shown
Title
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
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
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
Dexun Li
BDL
AI4TS
12
0
0
18 Dec 2022
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
Zirui Zhao
W. Lee
David Hsu
OOD
32
9
0
01 Oct 2022
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
Conor Rosato
Vincent Beraud
P. Horridge
Thomas B. Schon
Simon Maskell
18
14
0
02 Nov 2021
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
Fernando Gama
Nicolas Zilberstein
Richard G. Baraniuk
Santiago Segarra
17
7
0
06 Oct 2021
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
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
Xiao Ma
David Hsu
W. Lee
AI4CE
34
28
0
25 Apr 2021
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
Hao Wen
Xiongjie Chen
Georgios Papagiannis
Conghui Hu
Yunpeng Li
33
17
0
11 Nov 2020
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
Kudakwashe Dandajena
I. Venter
Mehrdad Ghaziasgar
Reg Dodds
AI4TS
21
2
0
22 Jul 2020
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
Michael Zhu
Kevin Patrick Murphy
Rico Jonschkowski
11
27
0
24 Apr 2020
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