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ORCIDYike Guo
Publications
- 2024
[j121]Sibo Cheng
, Che Liu, Yike Guo, Rossella Arcucci:
Efficient deep data assimilation with sparse observations and time-varying sensors. J. Comput. Phys. 496: 112581 (2024)- [i89]Jiuming Qin, Che Liu, Sibo Cheng, Yike Guo, Rossella Arcucci:
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training. CoRR abs/2401.01179 (2024) - 2023
- [j117]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:
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. IEEE CAA J. Autom. Sinica 10(6): 1361-1387 (2023) - [j114]Sibo Cheng, Jianhua Chen, Charitos Anastasiou, Panagiota Angeli, Omar K. Matar, Yi-Ke Guo, Christopher C. Pain, Rossella Arcucci:
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models. J. Sci. Comput. 94(1): 11 (2023) - [j108]Sibo Cheng, Yike Guo, Rossella Arcucci:
A Generative Model for Surrogates of Spatial-Temporal Wildfire Nowcasting. IEEE Trans. Emerg. Top. Comput. Intell. 7(5): 1420-1430 (2023) - [i86]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:
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. CoRR abs/2303.10462 (2023) - [i85]Kewei Zhu, Sibo Cheng, Nina Kovalchuk, Mark Simmons, Yi-Ke Guo, Omar K. Matar, Rossella Arcucci:
Analyzing drop coalescence in microfluidic device with a deep learning generative model. CoRR abs/2305.00261 (2023) - [i73]Sibo Cheng, Yike Guo, Rossella Arcucci:
A generative model for surrogates of spatial-temporal wildfire nowcasting. CoRR abs/2308.02810 (2023) - [i69]Sibo Cheng, Che Liu, Yike Guo, Rossella Arcucci:
Efficient deep data assimilation with sparse observations and time-varying sensors. CoRR abs/2310.16187 (2023) - [i65]Che Liu, Cheng Ouyang, Yinda Chen, César Quilodrán Casas, Lei Ma, Jie Fu, Yike Guo, Anand Shah, Wenjia Bai, Rossella Arcucci:
T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training. CoRR abs/2312.01529 (2023) - 2022
- [j102]César Quilodrán Casas, Vinicius L. S. Silva, Rossella Arcucci, Claire E. Heaney, Yike Guo, Christopher C. Pain:
Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic. Neurocomputing 470: 11-28 (2022) - [j99]Sibo Cheng, Iain Colin Prentice, Yuhan Huang, Yufang Jin, Yi-Ke Guo, Rossella Arcucci:
Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting. J. Comput. Phys. 464: 111302 (2022) - [j95]Sibo Cheng, Yufang Jin, Sandy P. Harrison, César Quilodrán Casas, Iain Colin Prentice, Yi-Ke Guo, Rossella Arcucci:
Parameter Flexible Wildfire Prediction Using Machine Learning Techniques: Forward and Inverse Modelling. Remote. Sens. 14(13): 3228 (2022) - [i61]Sibo Cheng, Jianhua Chen, Charitos Anastasiou, Panagiota Angeli, Omar K. Matar, Yi-Ke Guo, Christopher C. Pain, Rossella Arcucci:
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models. CoRR abs/2204.03497 (2022) - 2021
- [j88]Pin Wu, Xuting Chang, Wenyan Yuan, Junwu Sun, Wenjie Zhang, Rossella Arcucci, Yike Guo:
Fast data assimilation (FDA): Data assimilation by machine learning for faster optimize model state. J. Comput. Sci. 51: 101323 (2021) - [c140]Rossella Arcucci, César Quilodrán Casas, Aniket Joshi, Asiri Obeysekara, Laetitia Mottet, Yi-Ke Guo, Christopher C. Pain:
Merging Real Images with Physics Simulations via Data Assimilation. Euro-Par Workshops 2021: 255-266 - [c139]Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo:
Data Assimilation in the Latent Space of a Convolutional Autoencoder. ICCS (5) 2021: 373-386 - [i52]César Quilodrán Casas, Rossella Arcucci, Christopher C. Pain, Yike Guo:
Adversarially trained LSTMs on reduced order models of urban air pollution simulations. CoRR abs/2101.01568 (2021) - [i51]Julian Mack, Rossella Arcucci, Miguel Molina-Solana, Yi-Ke Guo:
Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation. CoRR abs/2101.02121 (2021) - [i48]César Quilodrán Casas, Vinicius L. S. Silva, Rossella Arcucci, Claire E. Heaney, Yike Guo, Christopher C. Pain:
Digital twins based on bidirectional LSTM and GAN for modelling COVID-19. CoRR abs/2102.02664 (2021) - [i46]Sibo Cheng, Rossella Arcucci, Christopher C. Pain, Yi-Ke Guo:
Optimal vaccination strategies for COVID-19 based on dynamical social networks with real-time updating. CoRR abs/2103.00485 (2021) - [i43]César Quilodrán Casas, Rossella Arcucci, Laetitia Mottet, Yike Guo, Christopher C. Pain:
Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations. CoRR abs/2104.06297 (2021) - [i41]Robin Hendrickx, Rossella Arcucci, Julio Amador Díaz López, Yi-Ke Guo, Mark Kennedy:
Correcting public opinion trends through Bayesian data assimilation. CoRR abs/2105.14276 (2021) - [i37]Pratha Khandelwal, Philip Nadler, Rossella Arcucci, William J. Knottenbelt, Yi-Ke Guo:
A Scalable Inference Method For Large Dynamic Economic Systems. CoRR abs/2110.14346 (2021) - 2020
- [j87]Shuo Wang, Xian Yang, Ling Li, Philip Nadler, Rossella Arcucci, Yuan Huang, Zhongzhao Teng, Yike Guo:
A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19. IEEE Comput. Intell. Mag. 15(4): 23-33 (2020) - [j79]Tolga Hasan Dur, Rossella Arcucci, Laetitia Mottet, Miguel Molina-Solana, Christopher C. Pain, Yi-Ke Guo:
Weak Constraint Gaussian Processes for optimal sensor placement. J. Comput. Sci. 42: 101110 (2020) - [c134]Rossella Arcucci, Lamya Moutiq, Yi-Ke Guo:
Neural Assimilation. ICCS (6) 2020: 155-168 - [c133]Philip Nadler, Rossella Arcucci, Yike Guo:
An Econophysical Analysis of the Blockchain Ecosystem. MARBLE 2020: 27-42 - [c130]Philip Nadler, Rossella Arcucci, Yike Guo:
A Neural SIR Model for Global Forecasting. ML4H@NeurIPS 2020: 254-266 - [i33]Philip Nadler, Shuo Wang, Rossella Arcucci, Xian Yang, Yike Guo:
An Epidemiological Modelling Approach for Covid19 via Data Assimilation. CoRR abs/2004.12130 (2020) - [i29]Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo:
Data Assimilation in the Latent Space of a Neural Network. CoRR abs/2012.12056 (2020) - 2019
- [j71]Jiangcheng Zhu, Shuang Hu, Rossella Arcucci, Chao Xu, Jihong Zhu, Yike Guo:
Model error correction in data assimilation by integrating neural networks. Big Data Min. Anal. 2(2): 83-91 (2019) - [j66]Rossella Arcucci, Laetitia Mottet, Christopher C. Pain, Yi-Ke Guo:
Optimal reduced space for Variational Data Assimilation. J. Comput. Phys. 379: 51-69 (2019) - [c125]Rossella Arcucci, Laetitia Mottet, César A. Quilodrán Casas, Florian Guitton, Christopher C. Pain, Yi-Ke Guo:
Adaptive Domain Decomposition for Effective Data Assimilation. Euro-Par Workshops 2019: 583-595 - [c123]Rossella Arcucci, Douglas McIlwraith, Yike Guo:
Scalable Weak Constraint Gaussian Processes. ICCS (4) 2019: 111-125 - [c115]Philip Nadler, Rossella Arcucci, Yi-Ke Guo:
A Scalable Approach to Econometric Inference. PARCO 2019: 59-68 - [c114]Rossella Arcucci, César Quilodrán Casas, Dunhui Xiao, Laetitia Mottet, Fangxin Fang, Pin Wu, Christopher C. Pain, Yi-Ke Guo:
A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA). PARCO 2019: 189-198 - [c113]Edward M. Lim, Miguel Molina-Solana, Christopher C. Pain, Yi-Ke Guo, Rossella Arcucci:
Hybrid Data Assimilation: An Ensemble-Variational Approach. SITIS 2019: 633-640 - [c112]Philip Nadler, Rossella Arcucci, Yi-Ke Guo:
Data Assimilation for Parameter Estimation in Economic Modelling. SITIS 2019: 649-656 - 2018
- [j60]Rossella Arcucci, Christopher C. Pain, Yi-Ke Guo:
Effective variational data assimilation in air-pollution prediction. Big Data Min. Anal. 1(4): 297-307 (2018)
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