Discovering state-parameter mappings in subsurface models using generative adversarial networks

30 October 2018

Papers citing "Discovering state-parameter mappings in subsurface models using generative adversarial networks"

7 / 7 papers shown

Title
Attention U-Net as a surrogate model for groundwater prediction M. L. Taccari J. Nuttall Xiaohui Chen He Wang B. Minnema P. Jimack AI4CE 37 16 0 09 Apr 2022
Deep Learning to Estimate Permeability using Geophysical Data M. Mudunuru E. Cromwell H. Wang X. Chen 19 13 0 08 Oct 2021
Applications of physics-informed scientific machine learning in subsurface science: A survey A. Sun H. Yoon C. Shih Zhi Zhong AI4CE 29 10 0 10 Apr 2021
A Survey on Generative Adversarial Networks: Variants, Applications, and Training Abdul Jabbar Xi Li Bourahla Omar 25 266 0 09 Jun 2020
Integration of adversarial autoencoders with residual dense convolutional networks for estimation of non-Gaussian hydraulic conductivities S. Mo N. Zabaras Xiaoqing Shi Jichun Wu 19 43 0 26 Jun 2019
Deep autoregressive neural networks for high-dimensional inverse problems in groundwater contaminant source identification S. Mo N. Zabaras Xiaoqing Shi Jichun Wu AI4CE 17 197 0 22 Dec 2018
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 239 7,916 0 13 Jun 2015