48 citations · 111 across the 8 of their papers we have counts for
11 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…
Forecasting emissions through Kaya identity using Neural Ordinary Differential Equations
Pierre Browne, Aranildo Lima, Rossella Arcucci +1
Starting from the Kaya identity, we used a Neural ODE model to predict the evolution of several indicators related to carbon emissions, on a country-level: population, GDP per capi…
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…
Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations
César Quilodrán-Casas, Rossella Arcucci, Laetitia Mottet +2
This paper presents an approach to improve the forecast of computational fluid dynamics (CFD) simulations of urban air pollution using deep learning, and most specifically adversar…
Real-time Updating of Dynamic Social Networks for COVID-19 Vaccination Strategies
Sibo Cheng, Christopher C. Pain, Yi-Ke Guo +1
Vaccination strategy is crucial in fighting against the COVID-19 pandemic. Since the supply is limited, contact network-based interventions can be most powerful to set an optimal s…