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1905.12885
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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"
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Title
Learning Flock: Enhancing Sets of Particles for Multi~Sub-State Particle Filtering with Neural Augmentation
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Deep Learning-Based Robust Multi-Object Tracking via Fusion of mmWave Radar and Camera Sensors
Lei Cheng
Arindam Sengupta
Siyang Cao
87
10
0
10 Jul 2024
A Survey of Machine Learning Techniques for Improving Global Navigation Satellite Systems
Adyasha Mohanty
Grace Gao
76
19
0
29 Mar 2024
Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations
Xiaolin Sun
Zizhan Zheng
OnRL
70
1
0
06 Mar 2024
PF-GNN: Differentiable particle filtering based approximation of universal graph representations
Mohammed Haroon Dupty
Yanfei Dong
W. Lee
75
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
130
7
0
23 Oct 2023
Memory-efficient particle filter recurrent neural network for object localization
Roman Korkin
Ivan Oseledets
Aleksandr Katrutsa
45
1
0
02 Oct 2023
From Deep Filtering to Deep Econometrics
Robert Stok
Paul Bilokon
43
0
0
13 Sep 2023
Dynamic Analysis and an Eigen Initializer for Recurrent Neural Networks
Ran Dou
José C. Príncipe
58
2
0
28 Jul 2023
The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models
Raphael Avalos
Florent Delgrange
Ann Nowé
Guillermo A. Pérez
D. Roijers
71
4
0
06 Mar 2023
Differentiable Bootstrap Particle Filters for Regime-Switching Models
Wenhan Li
Xiongjie Chen
Wenwu Wang
Victor Elvira
Yunpeng Li
87
6
0
20 Feb 2023
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference
Xiongjie Chen
Yunpeng Li
84
16
0
19 Feb 2023
Unsupervised Learning of Sampling Distributions for Particle Filters
Fernando Gama
Nicolas Zilberstein
Martín Sevilla
Richard Baraniuk
Santiago Segarra
96
10
0
02 Feb 2023
Hidden State Approximation in Recurrent Neural Networks Using Continuous Particle Filtering
Dexun Li
BDL
AI4TS
40
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
107
2
0
14 Dec 2022
Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement
Zirui Zhao
W. Lee
David Hsu
OOD
86
9
0
01 Oct 2022
Flow-based Recurrent Belief State Learning for POMDPs
Xiaoyu Chen
Yao Mu
Ping Luo
Sheng Li
Jianyu Chen
85
19
0
23 May 2022
Multi-scale Attention Flow for Probabilistic Time Series Forecasting
Shibo Feng
Chunyan Miao
Ke-Li Xu
Jiaxiang Wu
Pengcheng Wu
Fan Lin
P. Zhao
BDL
AI4TS
56
27
0
16 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
82
14
0
02 Nov 2021
Learning to Assimilate in Chaotic Dynamical Systems
Michael McCabe
Jed Brown
AI4TS
89
11
0
01 Nov 2021
Unrolling Particles: Unsupervised Learning of Sampling Distributions
Fernando Gama
Nicolas Zilberstein
Richard G. Baraniuk
Santiago Segarra
51
7
0
06 Oct 2021
Variational Marginal Particle Filters
Jinlin Lai
Justin Domke
Daniel Sheldon
95
9
0
30 Sep 2021
Structured World Belief for Reinforcement Learning in POMDP
Gautam Singh
Skand Peri
Junghyun Kim
Hyunseok Kim
Sungjin Ahn
OCL
81
28
0
19 Jul 2021
Differentiable Particle Filters through Conditional Normalizing Flow
Xiongjie Chen
Hao Wen
Yunpeng Li
77
22
0
01 Jul 2021
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting
Soumyasundar Pal
Liheng Ma
Yingxue Zhang
Mark Coates
BDL
AI4TS
98
22
0
10 Jun 2021
Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation
Peter Karkus
Shaojun Cai
David Hsu
78
66
0
17 May 2021
Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects
Xiao Ma
David Hsu
W. Lee
AI4CE
75
31
0
25 Apr 2021
Recursive Least Squares Based Refinement Network for the Rollout Trajectory Prediction Methods
Qifan Xue
Xuanpeng Li
Weigong Zhang
33
1
0
22 Feb 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport
Adrien Corenflos
James Thornton
George Deligiannidis
Arnaud Doucet
OT
100
70
0
15 Feb 2021
Spatial-Channel Transformer Network for Trajectory Prediction on the Traffic Scenes
Jingwen Zhao
Xuanpeng Li
Qifan Xue
Weigong Zhang
ViT
71
15
0
27 Jan 2021
How to Train Your Differentiable Filter
Alina Kloss
Georg Martius
Jeannette Bohg
143
47
0
28 Dec 2020
Optimized Auxiliary Particle Filters: adapting mixture proposals via convex optimization
Nicola Branchini
Victor Elvira
92
19
0
18 Nov 2020
End-To-End Semi-supervised Learning for Differentiable Particle Filters
Hao Wen
Xiongjie Chen
Georgios Papagiannis
Conghui Hu
Yunpeng Li
72
17
0
11 Nov 2020
Multimodal Sensor Fusion with Differentiable Filters
Michelle A. Lee
Brent Yi
Roberto Martín-Martín
Silvio Savarese
Jeannette Bohg
88
59
0
25 Oct 2020
Contrastive Variational Reinforcement Learning for Complex Observations
Xiao Ma
Siwei Chen
David Hsu
W. Lee
OffRL
74
23
0
06 Aug 2020
Complex Sequential Data Analysis: A Systematic Literature Review of Existing Algorithms
Kudakwashe Dandajena
I. Venter
Mehrdad Ghaziasgar
Reg Dodds
AI4TS
52
2
0
22 Jul 2020
The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction
Alice Martin
Charles Ollion
Florian Strub
Sylvain Le Corff
Olivier Pietquin
55
6
0
15 Jul 2020
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
Cunjun Yu
Xiao Ma
Jiawei Ren
Haiyu Zhao
Shuai Yi
90
475
0
18 May 2020
Towards Differentiable Resampling
Michael Zhu
Kevin Patrick Murphy
Rico Jonschkowski
59
27
0
24 Apr 2020
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations
Xiao Ma
Peter Karkus
David Hsu
W. Lee
N. Ye
OffRL
49
43
0
23 Feb 2020
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