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

Charitos Anastasiou

Christopher C. Pain

Rossella Arcucci

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 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 Phillip Si Peng Chen 21 1 0 29 Aug 2024
State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics Zhuoyuan Li Bin Dong Linyue Chu 25 0 0 31 Jul 2024
The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty Quantification N. T. Mücke Sander M. Bohté C. Oosterlee 25 0 0 04 Jun 2024
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 Hao Zhou Sibo Cheng Rossella Arcucci AI4CE 11 19 0 03 Feb 2024
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 Sibo Cheng Che Liu Yike Guo Rossella Arcucci 17 19 0 24 Oct 2023
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 Hansong Xiao 17 0 0 17 Aug 2023
A generative model for surrogates of spatial-temporal wildfire nowcasting Sibo Cheng Yike Guo Rossella Arcucci SyDa AI4CE 25 7 0 05 Aug 2023
Hierarchical Autoencoder-based Lossy Compression for Large-scale High-resolution Scientific Data Hieu Le Jián Tao AI4CE 16 2 0 09 Jul 2023
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 28 9 0 15 Mar 2023
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 16 47 0 14 Nov 2022
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 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 Matt Emschwiller D. Gamarnik Eren C. Kizildag Ilias Zadik 13 9 0 23 Mar 2020