48 citations · 78 across the 5 of their papers we have counts for
3 papers · 1 filter
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models
Sibo Cheng, Jianhua Chen, Charitos Anastasiou +5
Reduced-order modelling and low-dimensional surrogate models generated using machine learning algorithms have been widely applied in high-dimensional dynamical systems to improve t…
Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation
Julian Mack, Rossella Arcucci, Miguel Molina-Solana +1
We propose a new 'Bi-Reduced Space' approach to solving 3D Variational Data Assimilation using Convolutional Autoencoders. We prove that our approach has the same solution as previ…
Data Assimilation in the Latent Space of a Neural Network
Maddalena Amendola, Rossella Arcucci, Laetitia Mottet +5
There is an urgent need to build models to tackle Indoor Air Quality issue. Since the model should be accurate and fast, Reduced Order Modelling technique is used to reduce the dim…