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Variational deep embedding-based active learning for the diagnosis of pneumonia 期刊论文
FRONTIERS IN NEUROROBOTICS, 2022, 卷号: 16, 页码: 7
Authors:  Huang, Jian;  Ding, Wen;  Zhang, Jiarun;  Li, Zhao;  Shu, Ting;  Kuosmanen, Pekka;  Zhou, Guanqun;  Zhou, Chuan;  Yu, Gang
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pneumonia diagnosis  active learning  variational autoencoders  brain-like computing  human-centric computing  
TOTAL, CLASSICAL AND QUANTUM UNCERTAINTIES GENERATED BY CHANNELS 期刊论文
THEORETICAL AND MATHEMATICAL PHYSICS, 2022, 卷号: 213, 期号: 2, 页码: 1613-1631
Authors:  Liu, Yizhou;  Luo, Shunlong;  Sun, Yuan
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channel  total uncertainty  classical uncertainty  quantum uncertainty  Wigner-Yanase skew information  disturbance  
Frequentist model averaging for undirected Gaussian graphical models 期刊论文
BIOMETRICS, 2022, 页码: 13
Authors:  Liu, Huihang;  Zhang, Xinyu
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graphical model  KL divergence  model averaging  model uncertainty  precision matrix  
Monte Carlo fPINNs: Deep learning method for forward and inverse problems involving high dimensional fractional partial differential equations 期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2022, 卷号: 400, 页码: 17
Authors:  Guo, Ling;  Wu, Hao;  Yu, Xiaochen;  Zhou, Tao
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Physics -informed neural networks  Fractional Laplacian  Nonlocal operators  Uncertainty quantification  
A Scalable Frequentist Model Averaging Method 期刊论文
JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 2022, 页码: 10
Authors:  Zhu, Rong;  Wang, Haiying;  Zhang, Xinyu;  Liang, Hua
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Asymptotic optimality  High-dimensional data  Jackknife criterion  Mallows criterion  Singular value decomposition  
A spectral method for stochastic fractional PDEs using dynamically-orthogonal/bi-orthogonal decomposition 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 461, 页码: 17
Authors:  Zhao, Yue;  Mao, Zhiping;  Guo, Ling;  Tang, Yifa;  Karniadakis, George Em
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Uncertainty quantification  Anomalous transport  Quasi Monte Carlo simulation  Generalized polynomial chaos  Long-time integration  Poly-fractonomials  

Normalizing field flows: Solving forward and inverse stochastic differential equations using physics-informed flow models

 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 461, 页码: 18
Authors:  Guo, Ling;  Wu, Hao;  Zhou, Tao
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Data -driven modeling  Normalizing flows  Uncertainty quantification  Random fields  
Fidelity-disturbance-entropy tradeoff in quantum channels 期刊论文
Physical Review A, 2022, 卷号: 105, 期号: 6, 页码: 062458(9)
Authors:  Y Sun;  N Li;  S Luo
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STATE DISTURBANCE  INFORMATION GAIN  ERROR  
Conformalized temporal convolutional quantile regression networks for wind power interval forecasting 期刊论文
ENERGY, 2022, 卷号: 248, 页码: 16
Authors:  Hu, Jianming;  Luo, Qingxi;  Tang, Jingwei;  Heng, Jiani;  Deng, Yuwen
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Wind power interval prediction  Temporal convolutional network  Conformalized quantile regression  
Using potential variable to study gene-gene and gene-environment interaction effects with genetic model uncertainty 期刊论文
ANNALS OF HUMAN GENETICS, 2022, 页码: 11
Authors:  Hu, Xiaonan;  Meng, Zhen
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gene-environment interaction  gene-gene interaction  genetic model  potential variable  power