Adaptive Domain Decomposition for Effective Data Assimilation. - Rossella Arcucci; Laetitia Mottet; César A. Quilodrán Casas; Florian Guitton; Christopher C. Pain; Yi-Ke Guo (Euro-Par Workshops, 2019)

A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA). - Rossella Arcucci; César Quilodrán Casas; Dunhui Xiao; Laetitia Mottet; Fangxin Fang; Pin Wu; Christopher C. Pain; Yi-Ke Guo (PARCO, 2019)

Data Assimilation in the Latent Space of a Neural Network. - Maddalena Amendola; Rossella Arcucci; Laetitia Mottet; César Quilodrán Casas; Shiwei Fan; Christopher C. Pain; Paul Linden; Yi-Ke Guo (CoRR, 2020)

Merging Real Images with Physics Simulations via Data Assimilation. - Rossella Arcucci; César Quilodrán Casas; Aniket Joshi; Asiri Obeysekara; Laetitia Mottet; Yi-Ke Guo; Christopher C. Pain (Euro-Par Workshops, 2021)

Latent GAN: Using a Latent Space-Based GAN for Rapid Forecasting of CFD Models. - Jamal Afzali; César Quilodrán Casas; Rossella Arcucci (ICCS (5), 2021)

Data Assimilation in the Latent Space of a Convolutional Autoencoder. - Maddalena Amendola; Rossella Arcucci; Laetitia Mottet; César Quilodrán Casas; Shiwei Fan; Christopher C. Pain; Paul Linden; Yi-Ke Guo (ICCS (5), 2021)

Adversarially trained LSTMs on reduced order models of urban air pollution simulations. - César Quilodrán Casas; Rossella Arcucci; Christopher C. Pain; Yike Guo (CoRR, 2021)

Digital twins based on bidirectional LSTM and GAN for modelling COVID-19. - César Quilodrán Casas; Vinicius L. S. Silva; Rossella Arcucci; Claire E. Heaney; Yike Guo; Christopher C. Pain (CoRR, 2021)

Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations. - César Quilodrán Casas; Rossella Arcucci; Laetitia Mottet; Yike Guo; Christopher C. Pain (CoRR, 2021)

Reduced Order Surrogate Modelling and Latent Assimilation for Dynamical Systems. - Sibo Cheng; César Quilodrán Casas; Rossella Arcucci (ICCS (4), 2022)

Forecasting emissions through Kaya identity using Neural Ordinary Differential Equations. - Pierre Browne; Aranildo Lima; Rossella Arcucci; César Quilodrán Casas (CoRR, 2022)

Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic. - César Quilodrán Casas; Vinicius L. S. Silva; Rossella Arcucci; Claire E. Heaney; Yike Guo; Christopher C. Pain (Neurocomputing, 2022)

Data Learning: Integrating Data Assimilation and Machine Learning. - Caterina Buizza; César Quilodrán Casas; Philip Nadler; Julian Mack; Stefano Marrone 002; Zainab Titus; Clémence Le Cornec; Evelyn Heylen; Tolga Hasan Dur; Luis G. Baca Ruíz; Claire E. Heaney; Julio Amador Díaz López; et al. (J. Comput. Sci., 2022)

Parameter Flexible Wildfire Prediction Using Machine Learning Techniques: Forward and Inverse Modelling. - Sibo Cheng; Yufang Jin; Sandy P. Harrison; César Quilodrán Casas; Iain Colin Prentice; Yi-Ke Guo; Rossella Arcucci (Remote. Sens., 2022)

Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. - Zhongwei Wan; Che Liu; Mi Zhang 002; Jie Fu 001; Benyou Wang; Sibo Cheng; Lei Ma 008; César Quilodrán Casas; Rossella Arcucci (NeurIPS, 2023)

A novel approach for predicting epidemiological forecasting parameters based on real-time signals and Data Assimilation. - Romain Molinas; César Quilodrán Casas; Rossella Arcucci; Ovidiu Serban (CoRR, 2023)

Forecasting Tropical Cyclones with Cascaded Diffusion Models. - Pritthijit Nath; Pancham Shukla; César Quilodrán Casas (CoRR, 2023)

T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training. - Che Liu; Cheng Ouyang; Yinda Chen; César Quilodrán Casas; Lei Ma 008; Jie Fu 001; Yike Guo; Anand Shah; Wenjia Bai; Rossella Arcucci (CoRR, 2023)

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. - Sibo Cheng; César Quilodrán Casas; Said Ouala; Alban Farchi; Che Liu; Pierre Tandeo; Ronan Fablet; Didier Lucor; Bertrand Iooss; Julien Brajard; Dunhui Xiao; Tijana Janjic; et al. (IEEE CAA J. Autom. Sinica, 2023)

Data Assimilation using ERA5, ASOS, and the U-STN model for Weather Forecasting over the UK. - Wenqi Wang; Jacob Bieker; Rossella Arcucci; César Quilodrán Casas (CoRR, 2024)

Estimating Atmospheric Variables from Digital Typhoon Satellite Images via Conditional Denoising Diffusion Models. - Zhangyue Ling; Pritthijit Nath; César Quilodrán Casas (CoRR, 2024)

Towards unearthing neglected climate innovations from scientific literature using Large Language Models. - César Quilodrán Casas; Christopher Waite; Nicole Alhadeff; Diyona Dsouza; Cathal Hughes; Larissa Kunstel-Tabet; Alyssa Gilbert (CoRR, 2024)

DYffCast: Regional Precipitation Nowcasting Using IMERG Satellite Data. A case study over South America. - Daniel Seal; Rossella Arcucci; Salva Rühling Cachay; César A. Quilodrán Casas (CoRR, 2024)

Exploring unseen 3D scenarios of physics variables using machine learning-based synthetic data: An application to wave energy converters. - César Quilodrán Casas; Qian Li; Ningbo Zhang; Sibo Cheng; Shiqiang Yan; Qingwei Ma; Rossella Arcucci (Environ. Model. Softw., 2024)

Machine learning for modelling unstructured grid data in computational physics: A review. - Sibo Cheng; Marc Bocquet; Weiping Ding 001; Tobias Sebastian Finn; Rui Fu; Jinlong Fu; Yike Guo; Eleda Johnson; Siyi Li; Che Liu; Eric Newton Moro; Jie Pan 007; et al. (Inf. Fusion, 2025)

Facing & mitigating common challenges when working with real-world data: The Data Learning Paradigm. - Jake Lever; Sibo Cheng; César Quilodrán Casas; Che Liu; Hongwei Fan; Robert Platt 002; Andrianirina Rakotoharisoa; Eleda Johnson; Siyi Li; Zhendan Shang; Rossella Arcucci (J. Comput. Sci., 2025)