48 citations · 78 across the 5 of their papers we have counts for
5 papers
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…
A Scalable Inference Method For Large Dynamic Economic Systems
Pratha Khandelwal, Philip Nadler, Rossella Arcucci +2
The nature of available economic data has changed fundamentally in the last decade due to the economy's digitisation. With the prevalence of often black box data-driven machine lea…
Correcting public opinion trends through Bayesian data assimilation
Robin Hendrickx, Rossella Arcucci, Julio Amador Dıaz Lopez +2
Measuring public opinion is a key focus during democratic elections, enabling candidates to gauge their popularity and alter their campaign strategies accordingly. Traditional surv…
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…