Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
2104.02372
Cited By

The Fragility of Noise Estimation in Kalman Filter: Optimization Can
Handle Model-Misspecification

v1v2v3v4 (latest)

The Fragility of Noise Estimation in Kalman Filter: Optimization Can Handle Model-Misspecification

6 April 2021

ArXiv (abs)PDF HTML Github

Papers citing "The Fragility of Noise Estimation in Kalman Filter: Optimization Can Handle Model-Misspecification"

2 / 2 papers shown

Learning IMM Filter Parameters from Measurements using Gradient Descent

Learning IMM Filter Parameters from Measurements using Gradient DescentFusion (Fusion), 2023

André Brandenburger

Folker Hoffmann

242

2

0

13 Jul 2023

Low-rank extended Kalman filtering for online learning of neural
networks from streaming data

Low-rank extended Kalman filtering for online learning of neural networks from streaming data

Gerardo Duran-Martín

Alexander Y. Shestopaloff

Kevin P. Murphy

456

27

0

31 May 2023

Page 1 of 1