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Generalised Latent Assimilation in Heterogeneous Reduced Spaces with
  Machine Learning Surrogate Models
v1v2 (latest)

Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models

Journal of Scientific Computing (J. Sci. Comput.), 2022
7 April 2022
Sibo Cheng
Jianhua Chen
Charitos Anastasiou
P. Angeli
Omar K. Matar
Yi-Ke Guo
Christopher C. Pain
Rossella Arcucci
    AI4CE
ArXiv (abs)PDFHTMLGithub

Papers citing "Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models"

18 / 18 papers shown
Bridging Idealized and Operational Models: An Explainable AI Framework for Earth System Emulators
Bridging Idealized and Operational Models: An Explainable AI Framework for Earth System Emulators
Pouria Behnoudfar
Charlotte Moser
Marc Bocquet
Sibo Cheng
Nan Chen
168
1
0
14 Oct 2025
Machine learning for modelling unstructured grid data in computational physics: a review
Machine learning for modelling unstructured grid data in computational physics: a reviewInformation Fusion (Inf. Fusion), 2025
Sibo Cheng
Marc Bocquet
Weiping Ding
Tobias S. Finn
Rui Fu
...
Yong Zeng
Mingrui Zhang
Hao Zhou
Kewei Zhu
Rossella Arcucci
PINNAI4CE
600
24
0
13 Feb 2025
TorchDA: A Python package for performing data assimilation with deep
  learning forward and transformation functions
TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functionsComputer Physics Communications (CPC), 2024
Sibo Cheng
Jinyang Min
Che Liu
Rossella Arcucci
AI4CE
296
8
0
30 Aug 2024
Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data
  Assimilation with Sparse Observation Data
Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation DataInternational Conference on Learning Representations (ICLR), 2024
Phillip Si
Peng Chen
487
14
0
29 Aug 2024
State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics
State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics
Zhuoyuan Li
Bin Dong
Linyue Chu
489
3
0
31 Jul 2024
The Deep Latent Space Particle Filter for Real-Time Data Assimilation
  with Uncertainty Quantification
The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty Quantification
N. T. Mücke
Sander M. Bohté
C. Oosterlee
232
6
0
04 Jun 2024
Deep Generative Data Assimilation in Multimodal Setting
Deep Generative Data Assimilation in Multimodal Setting
Yongquan Qu
Juan Nathaniel
Shuolin Li
Pierre Gentine
3DGS
531
42
0
10 Apr 2024
Multi-fidelity physics constrained neural networks for dynamical systems
Multi-fidelity physics constrained neural networks for dynamical systems
Hao Zhou
Sibo Cheng
Rossella Arcucci
AI4CE
302
29
0
03 Feb 2024
Towards an end-to-end artificial intelligence driven global weather forecasting system
Towards an end-to-end artificial intelligence driven global weather forecasting system
Kun Chen
Mengwei He
Zhangrui Li
Peng Ye
Tao Chen
...
Yi Xiao
Kang Chen
Tao Han
Jing-Jia Luo
Wanli Ouyang
AI4Cl
456
31
0
18 Dec 2023
Efficient deep data assimilation with sparse observations and
  time-varying sensors
Efficient deep data assimilation with sparse observations and time-varying sensorsJournal of Computational Physics (JCP), 2023
Sibo Cheng
Che Liu
Wenhan Luo
Rossella Arcucci
238
34
0
24 Oct 2023
Latent assimilation with implicit neural representations for unknown
  dynamics
Latent assimilation with implicit neural representations for unknown dynamicsJournal of Computational Physics (JCP), 2023
Zhuoyuan Li
Bin Dong
Pingwen Zhang
AI4CE
338
8
0
18 Sep 2023
Estimating fire Duration using regression methods
Estimating fire Duration using regression methods
Hansong Xiao
137
1
0
17 Aug 2023
A generative model for surrogates of spatial-temporal wildfire
  nowcasting
A generative model for surrogates of spatial-temporal wildfire nowcastingIEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2023
Sibo Cheng
Wenhan Luo
Rossella Arcucci
SyDaAI4CE
249
12
0
05 Aug 2023
Hierarchical Autoencoder-based Lossy Compression for Large-scale
  High-resolution Scientific Data
Hierarchical Autoencoder-based Lossy Compression for Large-scale High-resolution Scientific Data
Hieu Le
Jián Tao
AI4CE
370
7
0
09 Jul 2023
Machine learning with data assimilation and uncertainty quantification
  for dynamical systems: a review
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a reviewIEEE/CAA Journal of Automatica Sinica (IEEE/CAA JAS), 2023
Sibo Cheng
César Quilodrán-Casas
Said Ouala
A. Farchi
Che Liu
...
Weiping Ding
Wenhan Luo
A. Carrassi
Marc Bocquet
Rossella Arcucci
AI4CE
320
244
0
18 Mar 2023
On the uncertainty analysis of the data-enabled physics-informed neural network for solving neutron diffusion eigenvalue problemNuclear science and engineering (NSE), 2023
Yu Yang
Helin Gong
Qihong Yang
Yangtao Deng
Qiaolin He
Shiquan Zhang
DiffM
327
14
0
15 Mar 2023
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in
  Scientific Computing
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing
S. Faroughi
N. Pawar
C. Fernandes
Maziar Raissi
Subasish Das
N. Kalantari
S. K. Mahjour
PINNAI4CE
309
75
0
14 Nov 2022
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
2.7K
21,148
0
16 Feb 2016
1
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