On Nonlinear Fitness Functions for Ranking-Based Selection. - Vinicius L. S. Silva; André R. da Cruz; Eduardo G. Carrano; Frederico G. Guimarães; Ricardo H. C. Takahashi (IEEE Congress on Evolutionary Computation, 2006)

A new performance metric for multiobjective optimization: the integrated sphere counting. - Vinicius L. S. Silva; Elizabeth F. Wanner; Sergio A. A. G. Cerqueira; Ricardo H. C. Takahashi (IEEE Congress on Evolutionary Computation, 2007)

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)

Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19. - Vinicius L. S. Silva; Claire E. Heaney; Yaqi Li; Christopher C. Pain (CoRR, 2021)

GAN for time series prediction, data assimilation and uncertainty quantification. - Vinicius L. S. Silva; Claire E. Heaney; Christopher C. Pain (CoRR, 2021)

Generative Networks Applied to Model Fluid Flows. - Mustapha Jolaade; Vinicius L. S. Silva; Claire E. Heaney; Christopher C. Pain (ICCS (3), 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 Assimilation Predictive GAN (DA-PredGAN) Applied to a Spatio-Temporal Compartmental Model in Epidemiology. - Vinicius L. S. Silva; Claire E. Heaney; Yaqi Li; Christopher C. Pain (J. Sci. Comput., 2023)

Correction to: Data Assimilation Predictive GAN (DA-PredGAN) Applied to a Spatio-Temporal Compartmental Model in Epidemiology. - Vinicius L. S. Silva; Claire E. Heaney; Yaqi Li; Christopher C. Pain (J. Sci. Comput., 2023)

AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage. - Gabriel S. Seabra; N. T. Mücke; Vinicius L. S. Silva; D. Voskov; F. Vossepoel (CoRR, 2024)

Rapid modelling of reactive transport in porous media using machine learning: limitations and solutions. - Vinicius L. S. Silva; Geraldine Regnier; Pablo Salinas; Claire E. Heaney; Matthew David Jackson; Christopher C. Pain (CoRR, 2024)

Generative model-based framework for parameter estimation and uncertainty quantification applied to a compartmental model in epidemiology. - Vinicius L. S. Silva; Claire E. Heaney; Nenko Nenov; Christopher C. Pain (J. Comput. Sci., 2024)

Online learning to accelerate nonlinear PDE solvers: applied to multiphase porous media flow. - Vinicius L. S. Silva; Pablo Salinas; Claire E. Heaney; Matthew David Jackson; Christopher C. Pain (CoRR, 2025)

Mitigating loss of variance in ensemble data assimilation: machine learning-based and distance-free localizations for better covariance estimation. - Vinicius L. S. Silva; Gabriel S. Seabra; Alexandre Anozé Emerick (CoRR, 2025)