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Stein variational gradient descent with local approximations
期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2021, 卷号: 386, 页码: 20
作者:
Yan, Liang
;
Zhou, Tao
收藏
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浏览/下载:10/0
  |  
提交时间:2022/04/02
Stein variational gradient decent
Bayesian inference
Deep learning
Local approximation
AN ACCELERATION STRATEGY FOR RANDOMIZE-THEN-OPTIMIZE SAMPLING VIA DEEP NEURAL NETWORKS*
期刊论文
JOURNAL OF COMPUTATIONAL MATHEMATICS, 2021, 卷号: 39, 期号: 6, 页码: 848-864
作者:
Yan, Liang
;
Zhou, Tao
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浏览/下载:2/0
  |  
提交时间:2022/04/02
Bayesian inverse problems
Deep neural network
Markov chain Monte Carlo
An Adaptive Surrogate Modeling Based on Deep Neural Networks for Large-Scale Bayesian Inverse Problems
期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2020, 卷号: 28, 期号: 5, 页码: 2180-2205
作者:
Yan, Liang
;
Zhou, Tao
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浏览/下载:59/0
  |  
提交时间:2021/01/14
Bayesian inverse problems
deep neural networks
multi-fidelity surrogate modeling
Markov chain Monte Carlo
Improved Block Sparse Bayesian Learning Method Using K-Nearest Neighbor Strategy for Accurate Tumor Morphology Reconstruction in Bioluminescence Tomography
期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 7, 页码: 2023-2032
作者:
Yin, Lin
;
Wang, Kun
;
Tong, Tong
;
An, Yu
;
Meng, Hui
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  |  
浏览/下载:21/0
  |  
提交时间:2020/08/03
Image reconstruction
Bayes methods
Tumors
Inverse problems
Light sources
Tomography
Morphology
Bioluminescence tomography (BLT)
block sparse Bayesian learning
morphology recovery
Inverse Method of Centrifugal Pump Blade Based on Gaussian Process Regression
期刊论文
MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 卷号: 2020
作者:
Zhang, Renhui
;
Zhao, Xutao
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浏览/下载:10/0
  |  
提交时间:2020/06/02
Centrifugal pumps
Extrapolation
Gaussian distribution
Gaussian noise (electronic)
Gradient methods
Machinery
Maximum likelihood estimation
Mean square error
Reliability analysis
Adaptive multi-fidelity polynomial chaos approach to Bayesian inference in inverse problems
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 卷号: 381, 页码: 110-128
作者:
Yan, Liang
;
Zhou, Tao
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浏览/下载:104/0
  |  
提交时间:2019/03/11
Bayesian inverse problems
Multi-fidelity polynomial chaos
Surrogate modeling
Markov chain Monte Carlo
AN ADAPTIVE MULTIFIDELITY PC-BASED ENSEMBLE KALMAN INVERSION FOR INVERSE PROBLEMS
期刊论文
INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION, 2019, 卷号: 9, 期号: 3, 页码: 205-220
作者:
Yan, Liang
;
Zhou, Tao
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浏览/下载:31/0
  |  
提交时间:2020/01/10
Bayesian inverse problems
ensemble Kalman inversion
multifidelity polynomial chaos
surrogate modeling
On input design for regularized LTI system identification: Power-constrained input
期刊论文
AUTOMATICA, 2018, 卷号: 97, 页码: 327-338
作者:
Mu, Biqiang
;
Chen, Tianshi
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浏览/下载:139/0
  |  
提交时间:2018/11/16
Input design
Bayesian mean square error
Kernel-based regularization
LTI system identification
Convex optimization
Multiple parameter determination in textile material design: A Bayesian inference approach based on simulation
期刊论文
MATHEMATICS AND COMPUTERS IN SIMULATION, 2018, 卷号: 151, 页码: 1-14
作者:
Xu, Dinghua
;
He, Yangao
;
Yu, Yue
;
Zhang, Qifeng
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  |  
浏览/下载:4/0
  |  
提交时间:2019/08/22
Inverse problems
Bayesian inference method
Textile material design
Coupled heat-moisture transfer model
Parameters determination
Bayesian approach to a nonlinear inverse problem for a time-space fractional diffusion equation
期刊论文
INVERSE PROBLEMS, 2018, 卷号: 34
作者:
Zhang, Yuan-Xiang
;
Jia, Junxiong
;
Yan, Liang
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  |  
浏览/下载:6/0
  |  
提交时间:2019/11/19
Bayesian inverse problems
iterative regularizing ensemble Kalman method
time-space fractional diffusion equation
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