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Learning to Assimilate in Chaotic Dynamical Systems

Learning to Assimilate in Chaotic Dynamical Systems

1 November 2021
Michael McCabe
Jed Brown
    AI4TS
ArXivPDFHTML

Papers citing "Learning to Assimilate in Chaotic Dynamical Systems"

6 / 6 papers shown
Title
Ensemble Kalman filter in latent space using a variational autoencoder pair
Ensemble Kalman filter in latent space using a variational autoencoder pair
I. Pasmans
Yumeng Chen
Tobias S. Finn
Marc Bocquet
A. Carrassi
45
0
0
18 Feb 2025
Learning Optimal Filters Using Variational Inference
Learning Optimal Filters Using Variational Inference
Enoch Luk
Eviatar Bach
Ricardo Baptista
Andrew Stuart
24
6
0
26 Jun 2024
Recurrences reveal shared causal drivers of complex time series
Recurrences reveal shared causal drivers of complex time series
W. Gilpin
CML
AI4TS
32
6
0
31 Jan 2023
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics
  with Quantified Uncertainty
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty
Luning Sun
Daniel Zhengyu Huang
Hao Sun
Jian-Xun Wang
14
9
0
14 Oct 2022
Data Assimilation Networks
Data Assimilation Networks
Pierre Boudier
Anthony Fillion
Serge Gratton
S. Gürol
Sixin Zhang
AI4CE
17
10
0
19 Oct 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
279
9,136
0
06 Jun 2015
1