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2303.10462
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Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
18 March 2023
Sibo Cheng
César Quilodrán-Casas
Said Ouala
A. Farchi
Che Liu
P. Tandeo
Ronan Fablet
Didier Lucor
Bertrand Iooss
J. Brajard
Dunhui Xiao
T. Janjić
Weiping Ding
Yike Guo
A. Carrassi
Marc Bocquet
Rossella Arcucci
AI4CE
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Papers citing
"Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review"
22 / 22 papers shown
Title
Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation
Gérome Andry
François Rozet
Sacha Lewin
Omer Rochman
Victor Mangeleer
Matthias Pirlet
Elise Faulx
Marilaure Grégoire
Gilles Louppe
AI4Cl
61
1
0
25 Apr 2025
Probabilistic Forecasting for Dynamical Systems with Missing or Imperfect Data
Siddharth Rout
Eldad Haber
Stéphane Gaudreault
AI4TS
AI4CE
60
0
0
15 Mar 2025
Machine learning for modelling unstructured grid data in computational physics: a review
Sibo Cheng
Marc Bocquet
Weiping Ding
Tobias S. Finn
Rui Fu
...
Yong Zeng
Mingrui Zhang
Hao Zhou
Kewei Zhu
Rossella Arcucci
PINN
AI4CE
107
0
0
13 Feb 2025
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data Assimilation
Chuanqi Chen
Nan Chen
Yinling Zhang
Jin-Long Wu
AI4CE
30
2
0
26 Oct 2024
Deep learning surrogate models of JULES-INFERNO for wildfire prediction on a global scale
Sibo Cheng
Hector Chassagnon
M. Kasoar
Yike Guo
Rossella Arcucci
27
2
0
30 Aug 2024
Data Assimilation with Machine Learning Surrogate Models: A Case Study with FourCastNet
Melissa Adrian
Daniel Sanz-Alonso
Rebecca Willett
31
4
0
21 May 2024
Explainable Global Wildfire Prediction Models using Graph Neural Networks
Dayou Chen
Sibo Cheng
Jinwei Hu
M. Kasoar
Rossella Arcucci
31
4
0
11 Feb 2024
Observation Error Covariance Specification in Dynamical Systems for Data assimilation using Recurrent Neural Networks
Sibo Cheng
Mingming Qiu
27
22
0
11 Nov 2021
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
290
7,434
0
11 Nov 2021
Enhancing Computational Fluid Dynamics with Machine Learning
Ricardo Vinuesa
Steven L. Brunton
AI4CE
100
355
0
05 Oct 2021
Auto-differentiable Ensemble Kalman Filters
Yuming Chen
D. Sanz-Alonso
Rebecca Willett
34
33
0
16 Jul 2021
Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation
Julian Mack
Rossella Arcucci
Miguel Molina-Solana
Yi-Ke Guo
3DPC
48
34
0
06 Jan 2021
Adversarially trained LSTMs on reduced order models of urban air pollution simulations
César Quilodrán-Casas
Rossella Arcucci
Christopher C. Pain
Yike Guo
35
7
0
05 Jan 2021
An autoencoder-based reduced-order model for eigenvalue problems with application to neutron diffusion
Toby R. F. Phillips
C. Heaney
Paul N. Smith
Christopher C. Pain
26
57
0
15 Aug 2020
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition
E. Kharazmi
Zhongqiang Zhang
George Karniadakis
117
508
0
11 Mar 2020
Model error covariance estimation in particle and ensemble Kalman filters using an online expectation-maximization algorithm
T. Cocucci
M. Pulido
M. Lucini
P. Tandeo
30
11
0
04 Mar 2020
Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model
D. Gagne
H. Christensen
A. Subramanian
A. Monahan
AI4CE
BDL
33
139
0
10 Sep 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,660
0
05 Dec 2016
A Bayesian adaptive ensemble Kalman filter for sequential state and parameter estimation
Jonathan R. Stroud
Matthias Katzfuss
C. Wikle
31
55
0
11 Nov 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
224
7,902
0
13 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
252
9,134
0
06 Jun 2015
MCMC using Hamiltonian dynamics
Radford M. Neal
170
3,260
0
09 Jun 2012
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