ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2107.10043
  4. Cited By
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known
  Dynamics

KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics

21 July 2021
Guy Revach
Nir Shlezinger
Xiaoyong Ni
Adrià López Escoriza
Ruud J. G. van Sloun
Yonina C. Eldar
ArXivPDFHTML

Papers citing "KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics"

16 / 66 papers shown
Title
Outlier-Insensitive Kalman Filtering Using NUV Priors
Outlier-Insensitive Kalman Filtering Using NUV Priors
Shunit Truzman
Guy Revach
Nir Shlezinger
Itzik Klein
26
3
0
12 Oct 2022
Neuro-Dynamic State Estimation for Networked Microgrids
Fei Feng
Yifan Zhou
Peng Zhang
13
3
0
25 Aug 2022
Low-Complexity Acoustic Echo Cancellation with Neural Kalman Filtering
Low-Complexity Acoustic Echo Cancellation with Neural Kalman Filtering
Dong Yang
Fei Jiang
Wei Wu
Xuefei Fang
Muyong Cao
35
20
0
23 Jul 2022
Theoretical Perspectives on Deep Learning Methods in Inverse Problems
Theoretical Perspectives on Deep Learning Methods in Inverse Problems
Jonathan Scarlett
Reinhard Heckel
M. Rodrigues
Paul Hand
Yonina C. Eldar
AI4CE
27
29
0
29 Jun 2022
Reconstruction and segmentation from sparse sequential X-ray
  measurements of wood logs
Reconstruction and segmentation from sparse sequential X-ray measurements of wood logs
Sebastian Springer
Aldo Glielmo
A. Senchukova
T. Kauppi
Jarkko Suuronen
L. Roininen
H. Haario
A. Hauptmann
24
2
0
20 Jun 2022
Model-Based Deep Learning: On the Intersection of Deep Learning and
  Optimization
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization
Nir Shlezinger
Yonina C. Eldar
Stephen P. Boyd
30
130
0
05 May 2022
Hybrid Neural Network Augmented Physics-based Models for Nonlinear
  Filtering
Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering
Tales Imbiriba
Ahmet Demirkaya
J. Duník
O. Straka
Deniz Erdoğmuş
Pau Closas
31
12
0
13 Apr 2022
Continuous Forecasting via Neural Eigen Decomposition
Continuous Forecasting via Neural Eigen Decomposition
Stav Belogolovsky
Ido Greenberg
Danny Eitan
Shie Mannor
AI4TS
16
2
0
31 Jan 2022
Unsupervised Learned Kalman Filtering
Unsupervised Learned Kalman Filtering
Guy Revach
Nir Shlezinger
Timur Locher
Xiaoyong Ni
Ruud J. G. van Sloun
Yonina C. Eldar
SSL
31
31
0
18 Oct 2021
Uncertainty in Data-Driven Kalman Filtering for Partially Known
  State-Space Models
Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models
Itzik Klein
Guy Revach
Nir Shlezinger
Jonas E. Mehr
Ruud J. G. van Sloun
Yonina C. Eldar
27
13
0
10 Oct 2021
Self-Supervised Inference in State-Space Models
Self-Supervised Inference in State-Space Models
David Ruhe
Patrick Forré
BDL
19
4
0
28 Jul 2021
The Fragility of Noise Estimation in Kalman Filter: Optimization Can
  Handle Model-Misspecification
The Fragility of Noise Estimation in Kalman Filter: Optimization Can Handle Model-Misspecification
Ido Greenberg
Shie Mannor
Netanel Yannay
18
3
0
06 Apr 2021
Model-Based Deep Learning
Model-Based Deep Learning
Nir Shlezinger
Jay Whang
Yonina C. Eldar
A. Dimakis
28
317
0
15 Dec 2020
Data Assimilation Networks
Data Assimilation Networks
Pierre Boudier
Anthony Fillion
Serge Gratton
S. Gürol
Sixin Zhang
AI4CE
22
10
0
19 Oct 2020
Learned Factor Graphs for Inference from Stationary Time Sequences
Learned Factor Graphs for Inference from Stationary Time Sequences
Nir Shlezinger
Nariman Farsad
Yonina C. Eldar
Andrea J. Goldsmith
21
24
0
05 Jun 2020
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO
  Detection
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection
Nir Shlezinger
Rong Fu
Yonina C. Eldar
45
102
0
08 Feb 2020
Previous
12