Bayesian multiscale deep generative model for the solution of
high-dimensional inverse problems

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Bayesian multiscale deep generative model for the solution of high-dimensional inverse problems

Journal of Computational Physics (JCP), 2021

4 February 2021

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Papers citing "Bayesian multiscale deep generative model for the solution of high-dimensional inverse problems"

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Title
An adaptive Gaussian process method for multi-modal Bayesian inverse problems Zhihang Xu Xiaoyu Zhu Daoji Li Qifeng Liao 133 0 0 05 Sep 2024
Bayesian neural networks for predicting uncertainty in full-field material response G. Pasparakis Lori Graham-Brady Michael D. Shields AI4CE 220 13 0 21 Jun 2024
The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty Quantification N. T. Mücke Sander M. Bohté C. Oosterlee 146 2 0 04 Jun 2024
Deep adaptive sampling for surrogate modeling without labeled data Xili Wang Keju Tang Jiayu Zhai Xiaoliang Wan Chao Yang 150 7 0 17 Feb 2024
Dimension-reduced KRnet maps for high-dimensional Bayesian inverse problems Yani Feng Keju Tang Xiaoliang Wan Qifeng Liao 152 2 0 01 Mar 2023
VI-DGP: A variational inference method with deep generative prior for solving high-dimensional inverse problemsJournal of Scientific Computing (J. Sci. Comput.), 2023 Yingzhi Xia Qifeng Liao Jinglai Li 246 4 0 22 Feb 2023
A domain-decomposed VAE method for Bayesian inverse problemsInternational Journal for Uncertainty Quantification (IJUQ), 2023 Zhihang Xu Yingzhi Xia Qifeng Liao 148 8 0 09 Jan 2023
Deep Learning for Simultaneous Inference of Hydraulic and Transport PropertiesWater Resources Research (WRR), 2021 Zitong Zhou N. Zabaras D. Tartakovsky 180 26 0 24 Oct 2021