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Towards Differentiable Resampling

Towards Differentiable Resampling

24 April 2020
Michael Zhu
Kevin Patrick Murphy
Rico Jonschkowski
ArXiv (abs)PDFHTML

Papers citing "Towards Differentiable Resampling"

20 / 20 papers shown
Title
Learning Flock: Enhancing Sets of Particles for Multi~Sub-State Particle
  Filtering with Neural Augmentation
Learning Flock: Enhancing Sets of Particles for Multi~Sub-State Particle Filtering with Neural Augmentation
Itai Nuri
Nir Shlezinger
82
4
0
21 Aug 2024
Regime Learning for Differentiable Particle Filters
Regime Learning for Differentiable Particle FiltersFusion (FUSION), 2025
John-Joseph Brady
Yuhui Luo
Wenwu Wang
Victor Elvira
Yunpeng Li
87
0
0
08 May 2024
Differentiable and Stable Long-Range Tracking of Multiple Posterior
  Modes
Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes
Ali Younis
Erik B. Sudderth
87
4
0
12 Apr 2024
Normalizing Flow-based Differentiable Particle Filters
Normalizing Flow-based Differentiable Particle Filters
Xiongjie Chen
Yunpeng Li
51
4
0
03 Mar 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
333
8
0
23 Oct 2023
Memory-efficient particle filter recurrent neural network for object
  localization
Memory-efficient particle filter recurrent neural network for object localization
Roman Korkin
Ivan Oseledets
Aleksandr Katrutsa
75
1
0
02 Oct 2023
Multiparticle Kalman filter for object localization in symmetric
  environments
Multiparticle Kalman filter for object localization in symmetric environments
Roman Korkin
Ivan Oseledets
Aleksandr Katrutsa
105
11
0
14 Mar 2023
An overview of differentiable particle filters for data-adaptive
  sequential Bayesian inference
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference
Xiongjie Chen
Yunpeng Li
124
20
0
19 Feb 2023
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
128
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
160
9
0
01 Oct 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
136
18
0
02 Nov 2021
Variational Marginal Particle Filters
Variational Marginal Particle Filters
Jinlin Lai
Justin Domke
Daniel Sheldon
138
10
0
30 Sep 2021
Differentiable Particle Filtering without Modifying the Forward Pass
Differentiable Particle Filtering without Modifying the Forward Pass
Adam Scibior
Frank Wood
126
20
0
18 Jun 2021
NeRF in detail: Learning to sample for view synthesis
NeRF in detail: Learning to sample for view synthesis
Relja Arandjelović
Andrew Zisserman
130
42
0
09 Jun 2021
Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation
Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation
Peter Karkus
Shaojun Cai
David Hsu
133
69
0
17 May 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
129
76
0
15 Feb 2021
Differentiable Nonparametric Belief Propagation
Differentiable Nonparametric Belief Propagation
Anthony Opipari
Chao Chen
Shoutian Wang
Jana Pavlasek
Karthik Desingh
Odest Chadwicke Jenkins
82
5
0
15 Jan 2021
How to Train Your Differentiable Filter
How to Train Your Differentiable Filter
Alina Kloss
Georg Martius
Jeannette Bohg
202
49
0
28 Dec 2020
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
96
17
0
11 Nov 2020
Conditional Set Generation with Transformers
Conditional Set Generation with Transformers
Adam R. Kosiorek
Hyunjik Kim
Danilo Jimenez Rezende
179
43
0
26 Jun 2020
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