Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate
Modeling and Uncertainty Quantification

Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification

21 January 2018

Papers citing "Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification"

16 / 66 papers shown

Title
Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network K. Yeo D. E. C. Grullon Fan-Keng Sun Duane S. Boning Jayant Kalagnanam BDL 16 3 0 02 Mar 2020
On generalized residue network for deep learning of unknown dynamical systems Zhen Chen D. Xiu AI4CE 14 46 0 23 Jan 2020
Discovery of Dynamics Using Linear Multistep Methods Rachael Keller Q. Du 15 36 0 29 Dec 2019
Deep Learning of Subsurface Flow via Theory-guided Neural Network Nanzhe Wang Dongxiao Zhang Haibin Chang Heng Li AI4CE 25 226 0 24 Oct 2019
D3M: A deep domain decomposition method for partial differential equations Ke Li Keju Tang Tianfan Wu Qifeng Liao AI4CE 22 114 0 24 Sep 2019
A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems Meng Tang Yimin Liu L. Durlofsky AI4CE 19 255 0 16 Aug 2019
Physics-Informed Probabilistic Learning of Linear Embeddings of Non-linear Dynamics With Guaranteed Stability Shaowu Pan Karthik Duraisamy 23 136 0 09 Jun 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data Yinhao Zhu N. Zabaras P. Koutsourelakis P. Perdikaris PINN AI4CE 28 854 0 18 Jan 2019
Data Driven Governing Equations Approximation Using Deep Neural Networks Tong Qin Kailiang Wu D. Xiu PINN 16 270 0 13 Nov 2018
Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems Dongkun Zhang Lu Lu Ling Guo George Karniadakis UQCV 13 397 0 21 Sep 2018
Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media S. Mo Yinhao Zhu N. Zabaras Xiaoqing Shi Jichun Wu AI4CE 14 271 0 02 Jul 2018
Deep Multiscale Model Learning Yating Wang Siu Wun Cheung Eric T. Chung Y. Efendiev Min Wang AI4CE 14 79 0 13 Jun 2018
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning T. Vandal E. Kodra Jennifer Dy S. Ganguly R. Nemani A. Ganguly UQCV BDL 24 52 0 13 Feb 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,545 0 25 Jan 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015