Skip to main content
King Abdullah University of Science and Technology
Stochastic Numerics Research Group
STOCHNUM
Stochastic Numerics Research Group
Main navigation
  • Home
  • People
    • Principal Investigators
    • Research Scientists
    • Postdoctoral Fellows
    • Students
    • All Profiles
    • Administrative Staff
    • Alumni
    • Former Members
  • Events
    • Upcoming Events
    • All Events
    • Events Calendar
  • News

Nonlinear Filtering

Article published by Foundations of Data Science

1 min read · Thu, Sep 8 2022

News

Nonlinear Filtering Inverse problem conditional expectation weather forecast Deep learning

In August 2022, the paper Machine learning-based conditional mean filter: A generalization of the ensemble Kalman filter for nonlinear data assimilation, by Truong-Vinh Hoang (RWTH Aachen University), Sebastian Krumscheid (Karlsruhe Institute of Technology), Hermann G. Matthies (Technische Universität Braunschweig) and Raul Tempone (KAUST/RWTH Aachen University) was published by Foundations of Data Science. Abstract: This paper presents the machine learning-based ensemble conditional mean filter (ML-EnCMF) — a filtering method based on the conditional mean filter (CMF) previously introduced in

Stochastic Numerics Research Group (STOCHNUM)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2024 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice