César Quilodrán Casas

According to our database, César Quilodrán Casas authored at least 22 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Estimating Atmospheric Variables from Digital Typhoon Satellite Images via Conditional Denoising Diffusion Models.

Zhangyue Ling, Pritthijit Nath, César Quilodrán Casas

CoRR, 2024

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

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, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci

IEEE CAA J. Autom. Sinica, June, 2023

T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training.

Che Liu, Cheng Ouyang, Yinda Chen, César Quilodrán Casas, Lei Ma, Jie Fu, Yike Guo, Anand Shah, Wenjia Bai, Rossella Arcucci

CoRR, 2023

Forecasting Tropical Cyclones with Cascaded Diffusion Models.

Pritthijit Nath, Pancham Shukla, César Quilodrán Casas

CoRR, 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

Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias.

Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Data Learning: Integrating Data Assimilation and Machine Learning.

Caterina Buizza, César Quilodrán Casas, Philip Nadler, Julian Mack, Stefano Marrone, Zainab Titus, Clémence Le Cornec, Evelyn Heylen, Tolga Hasan Dur, Luis G. Baca Ruíz, Claire E. Heaney, Julio Amador Díaz López, K. S. Sesh Kumar, Rossella Arcucci

J. Comput. Sci., 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

Forecasting emissions through Kaya identity using Neural Ordinary Differential Equations.

Pierre Browne, Aranildo Lima, Rossella Arcucci, César Quilodrán Casas

CoRR, 2022

Reduced Order Surrogate Modelling and Latent Assimilation for Dynamical Systems.

Sibo Cheng, César Quilodrán Casas, Rossella Arcucci

Proceedings of the Computational Science - ICCS 2022, 2022

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

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

Adversarially trained LSTMs on reduced order models of urban air pollution simulations.

César Quilodrán Casas, Rossella Arcucci, Christopher C. Pain, Yike Guo

CoRR, 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

Proceedings of the Computational Science - ICCS 2021, 2021

Latent GAN: Using a Latent Space-Based GAN for Rapid Forecasting of CFD Models.

Jamal Afzali, César Quilodrán Casas, Rossella Arcucci

Proceedings of the Computational Science - ICCS 2021, 2021

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

Proceedings of the Euro-Par 2021: Parallel Processing Workshops, 2021

2020

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

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

Proceedings of the Parallel Computing: Technology Trends, 2019

Adaptive Domain Decomposition for Effective Data Assimilation.

Rossella Arcucci, Laetitia Mottet, César A. Quilodrán Casas, Florian Guitton, Christopher C. Pain, Yi-Ke Guo

Proceedings of the Euro-Par 2019: Parallel Processing Workshops, 2019