Deep autoregressive neural networks for high-dimensional inverse
problems in groundwater contaminant source identification

Deep autoregressive neural networks for high-dimensional inverse problems in groundwater contaminant source identification

22 December 2018

Papers citing "Deep autoregressive neural networks for high-dimensional inverse problems in groundwater contaminant source identification"

15 / 15 papers shown

Title
Transfer Learning on Multi-Dimensional Data: A Novel Approach to Neural Network-Based Surrogate Modeling Adrienne M. Propp Daniel M. Tartakovsky AI4CE 31 2 0 16 Oct 2024
Deep Learning Framework for History Matching CO2 Storage with 4D Seismic and Monitoring Well Data Ekta U. Samani A. Banerjee 29 0 0 02 Aug 2024
VI-DGP: A variational inference method with deep generative prior for solving high-dimensional inverse problems Yingzhi Xia Qifeng Liao Jinglai Li 27 2 0 22 Feb 2023
Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs Stefan Werner Sebastian Peitz 38 9 0 14 Feb 2023
Bayesian deep learning framework for uncertainty quantification in high dimensions Jeahan Jung Minseok Choi BDL UQCV 21 1 0 21 Oct 2022
Use of Multifidelity Training Data and Transfer Learning for Efficient Construction of Subsurface Flow Surrogate Models Su Jiang L. Durlofsky AI4CE 22 29 0 23 Apr 2022
Deep Learning for Simultaneous Inference of Hydraulic and Transport Properties Zitong Zhou N. Zabaras D. Tartakovsky 26 16 0 24 Oct 2021
Transfer Learning on Multi-Fidelity Data Dong H. Song D. Tartakovsky AI4CE 31 26 0 29 Apr 2021
Applications of physics-informed scientific machine learning in subsurface science: A survey A. Sun H. Yoon C. Shih Zhi Zhong AI4CE 26 9 0 10 Apr 2021
3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels Yimin Liu L. Durlofsky AI4CE 24 60 0 16 Jul 2020
Deep Learning of Subsurface Flow via Theory-guided Neural Network Nanzhe Wang Dongxiao Zhang Haibin Chang Heng Li AI4CE 27 226 0 24 Oct 2019
Multiphase flow prediction with deep neural networks Gege Wen Meng Tang S. Benson 14 6 0 21 Oct 2019
A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems Meng Tang Yimin Liu L. Durlofsky AI4CE 23 257 0 16 Aug 2019
Integration of adversarial autoencoders with residual dense convolutional networks for estimation of non-Gaussian hydraulic conductivities S. Mo N. Zabaras Xiaoqing Shi Jichun Wu 8 43 0 26 Jun 2019
Surrogate-Based Bayesian Inverse Modeling of the Hydrological System: An Adaptive Approach Considering Surrogate Approximation Error Jiangjiang Zhang Q. Zheng Dingjiang Chen Laosheng Wu L. Zeng 22 36 0 10 Jul 2018