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

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

7 April 2022
Sibo Cheng
Jianhua Chen
Charitos Anastasiou
P. Angeli
Omar K. Matar
Yi-Ke Guo
Christopher C. Pain
Rossella Arcucci
    AI4CE
ArXivPDFHTML

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

18 / 18 papers shown
Title
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 functions
Sibo Cheng
Jinyang Min
Che Liu
Rossella Arcucci
AI4CE
13
0
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 Data
Phillip Si
Peng Chen
21
1
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
28
0
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
35
0
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
26
15
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
15
19
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
Lei Bai
Fenghua Ling
Peng Ye
Tao Chen
...
Hao Chen
Yi Xiao
Kang Chen
Tao Han
Wanli Ouyang
AI4Cl
21
16
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 sensors
Sibo Cheng
Che Liu
Yike Guo
Rossella Arcucci
26
19
0
24 Oct 2023
Latent assimilation with implicit neural representations for unknown
  dynamics
Latent assimilation with implicit neural representations for unknown dynamics
Zhuoyuan Li
Bin Dong
Pingwen Zhang
AI4CE
22
3
0
18 Sep 2023
Estimating fire Duration using regression methods
Estimating fire Duration using regression methods
Hansong Xiao
24
0
0
17 Aug 2023
A generative model for surrogates of spatial-temporal wildfire
  nowcasting
A generative model for surrogates of spatial-temporal wildfire nowcasting
Sibo Cheng
Yike Guo
Rossella Arcucci
SyDa
AI4CE
30
7
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
21
2
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 review
Sibo Cheng
César Quilodrán-Casas
Said Ouala
A. Farchi
Che Liu
...
Weiping Ding
Yike Guo
A. Carrassi
Marc Bocquet
Rossella Arcucci
AI4CE
24
121
0
18 Mar 2023
On the uncertainty analysis of the data-enabled physics-informed neural network for solving neutron diffusion eigenvalue problem
Yu Yang
Helin Gong
Qihong Yang
Yangtao Deng
Qiaolin He
Shiquan Zhang
DiffM
30
9
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
Salah A. Faroughi
N. Pawar
C. Fernandes
Maziar Raissi
Subasish Das
N. Kalantari
S. K. Mahjour
PINN
AI4CE
27
47
0
14 Nov 2022
Observation Error Covariance Specification in Dynamical Systems for Data
  assimilation using Recurrent Neural Networks
Observation Error Covariance Specification in Dynamical Systems for Data assimilation using Recurrent Neural Networks
Sibo Cheng
Mingming Qiu
27
22
0
11 Nov 2021
An autoencoder-based reduced-order model for eigenvalue problems with
  application to neutron diffusion
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
56
0
15 Aug 2020
Neural Networks and Polynomial Regression. Demystifying the
  Overparametrization Phenomena
Neural Networks and Polynomial Regression. Demystifying the Overparametrization Phenomena
Matt Emschwiller
D. Gamarnik
Eren C. Kizildag
Ilias Zadik
20
9
0
23 Mar 2020
1