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02/21/2020
Using Deep Learning to Improve Ensemble Smoother: Applications to Subsurface Characterization
Ensemble smoother (ES) has been widely used in various research fields t...
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09/19/2019
Physics-informed semantic inpainting: Application to geostatistical modeling
A fundamental problem in geostatistical modeling is to infer the heterog...
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07/10/2018
Surrogate-Based Bayesian Inverse Modeling of the Hydrological System: An Adaptive Approach Considering Surrogate Approximation Erro
Bayesian inverse modeling is important for a better understanding of hyd...
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07/10/2018
Surrogate-Based Bayesian Inverse Modeling of the Hydrological System: An Adaptive Approach Considering Surrogate Structural Error
Inverse modeling is vital for an improved hydrological prediction. Howev...
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07/10/2018
Surrogate-Based Inverse Modeling of the Hydrological System: An Adaptive Approach Considering Surrogate Structural Error
Inverse modeling is vital for an improved hydrological prediction. Howev...
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12/06/2017
Inverse modeling of hydrologic systems with adaptive multi-fidelity Markov chain Monte Carlo simulations
Markov chain Monte Carlo (MCMC) simulation methods are widely used to as...
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12/06/2017
