César Quilodrán Casas

28 papers A* 1Journal 21Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Facing & mitigating common challenges when working with real-world data: The Data Learning Paradigm. J. Comput. Sci. Jake Lever, Sibo Cheng, César Quilodrán Casas, Che Liu, Hongwei Fan, Robert Platt, Andrianirina Rakotoharisoa, Eleda Johnson, Siyi Li, Zhendan Shang, Rossella Arcucci
2025	J	`jnl`	Machine learning for modelling unstructured grid data in computational physics: A review. Inf. Fusion Sibo Cheng, Marc Bocquet, Weiping Ding, Tobias Sebastian Finn, Rui Fu, Jinlong Fu, Yike Guo, Eleda Johnson, Siyi Li, Che Liu, Eric Newton Moro, Jie Pan, Matthew D. Piggott, César Quilodrán Casas, Prakhar Sharma, Kun Wang, Dunhui Xiao, Xiao Xue, Yong Zeng, Mingrui Zhang, Hao Zhou, Kewei Zhu, Rossella Arcucci
2025	J	`jnl`	Machine learning for modelling unstructured grid data in computational physics: a review. CoRR Sibo Cheng, Marc Bocquet, Weiping Ding, Tobias Sebastian Finn, Rui Fu, Jinlong Fu, Yike Guo, Eleda Johnson, Siyi Li, Che Liu, Eric Newton Moro, Jie Pan, Matthew D. Piggott, César Quilodrán Casas, Prakhar Sharma, Kun Wang, Dunhui Xiao, Xiao Xue, Yong Zeng, Mingrui Zhang, Hao Zhou, Kewei Zhu, Rossella Arcucci
2025	—	`conf`	T3D: Advancing 3D Medical Vision-Language Pre-Training by Learning Multi-View Visual Consistency. ICCVW Che Liu, Cheng Ouyang, Yinda Chen, César Quilodrán Casas, Lei Ma, Jie Fu, Yike Guo, Anand Shah, Wenjia Bai, Rossella Arcucci
2024	J	`jnl`	Data Assimilation using ERA5, ASOS, and the U-STN model for Weather Forecasting over the UK. CoRR Wenqi Wang, Jacob Bieker, Rossella Arcucci, César Quilodrán Casas
2024	J	`jnl`	Estimating Atmospheric Variables from Digital Typhoon Satellite Images via Conditional Denoising Diffusion Models. CoRR Zhangyue Ling, Pritthijit Nath, César Quilodrán Casas
2024	J	`jnl`	Exploring unseen 3D scenarios of physics variables using machine learning-based synthetic data: An application to wave energy converters. Environ. Model. Softw. César Quilodrán Casas, Qian Li, Ningbo Zhang, Sibo Cheng, Shiqiang Yan, Qingwei Ma, Rossella Arcucci
2024	J	`jnl`	Towards unearthing neglected climate innovations from scientific literature using Large Language Models. CoRR César Quilodrán Casas, Christopher Waite, Nicole Alhadeff, Diyona Dsouza, Cathal Hughes, Larissa Kunstel-Tabet, Alyssa Gilbert
2023	J	`jnl`	A novel approach for predicting epidemiological forecasting parameters based on real-time signals and Data Assimilation. CoRR Romain Molinas, César Quilodrán Casas, Rossella Arcucci, Ovidiu Serban
2023	J	`jnl`	Forecasting Tropical Cyclones with Cascaded Diffusion Models. CoRR Pritthijit Nath, Pancham Shukla, César Quilodrán Casas
2023	J	`jnl`	Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. IEEE CAA J. Autom. Sinica 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
2023	J	`jnl`	Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. CoRR 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
2023	A*	`conf`	Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. NeurIPS Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci
2023	J	`jnl`	Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. CoRR Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci
2023	J	`jnl`	T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training. CoRR Che Liu, Cheng Ouyang, Yinda Chen, César Quilodrán Casas, Lei Ma, Jie Fu, Yike Guo, Anand Shah, Wenjia Bai, Rossella Arcucci
2022	J	`jnl`	Data Learning: Integrating Data Assimilation and Machine Learning. J. Comput. Sci. 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
2022	J	`jnl`	Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic. Neurocomputing César Quilodrán Casas, Vinicius L. S. Silva, Rossella Arcucci, Claire E. Heaney, Yike Guo, Christopher C. Pain
2022	J	`jnl`	Forecasting emissions through Kaya identity using Neural Ordinary Differential Equations. CoRR Pierre Browne, Aranildo Lima, Rossella Arcucci, César Quilodrán Casas
2022	J	`jnl`	Parameter Flexible Wildfire Prediction Using Machine Learning Techniques: Forward and Inverse Modelling. Remote. Sens. Sibo Cheng, Yufang Jin, Sandy P. Harrison, César Quilodrán Casas, Iain Colin Prentice, Yi-Ke Guo, Rossella Arcucci
2022	—	`conf`	Reduced Order Surrogate Modelling and Latent Assimilation for Dynamical Systems. ICCS (4) Sibo Cheng, César Quilodrán Casas, Rossella Arcucci
2021	J	`jnl`	Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations. CoRR César Quilodrán Casas, Rossella Arcucci, Laetitia Mottet, Yike Guo, Christopher C. Pain
2021	J	`jnl`	Adversarially trained LSTMs on reduced order models of urban air pollution simulations. CoRR César Quilodrán Casas, Rossella Arcucci, Christopher C. Pain, Yike Guo
2021	—	`conf`	Data Assimilation in the Latent Space of a Convolutional Autoencoder. ICCS (5) Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo
2021	J	`jnl`	Digital twins based on bidirectional LSTM and GAN for modelling COVID-19. CoRR César Quilodrán Casas, Vinicius L. S. Silva, Rossella Arcucci, Claire E. Heaney, Yike Guo, Christopher C. Pain
2021	—	`conf`	Latent GAN: Using a Latent Space-Based GAN for Rapid Forecasting of CFD Models. ICCS (5) Jamal Afzali, César Quilodrán Casas, Rossella Arcucci
2021	—	`conf`	Merging Real Images with Physics Simulations via Data Assimilation. Euro-Par Workshops Rossella Arcucci, César Quilodrán Casas, Aniket Joshi, Asiri Obeysekara, Laetitia Mottet, Yi-Ke Guo, Christopher C. Pain
2020	J	`jnl`	Data Assimilation in the Latent Space of a Neural Network. CoRR Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo
2019	—	`conf`	A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA). PARCO Rossella Arcucci, César Quilodrán Casas, Dunhui Xiao, Laetitia Mottet, Fangxin Fang, Pin Wu, Christopher C. Pain, Yi-Ke Guo