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科研机构
数学与系统科学研究院 [8]
内容类型
期刊论文 [8]
发表日期
2022 [1]
2021 [3]
2020 [2]
2017 [1]
2016 [1]
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Improve Robustness and Accuracy of Deep Neural Network with L-2,L-infinity Normalization
期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2022, 页码: 26
作者:
Yu Lijia
;
Gao Xiao-Shan
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浏览/下载:4/0
  |  
提交时间:2023/02/07
Deep neural network
global robustness measure
L-2,L-infinity
normalization
over-fitting
Rademacher complexity
smooth DNN
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
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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
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
期刊论文
NATURE MACHINE INTELLIGENCE, 2021, 卷号: 3, 期号: 3, 页码: 218-+
作者:
Lu, Lu
;
Jin, Pengzhan
;
Pang, Guofei
;
Zhang, Zhongqiang
;
Karniadakis, George Em
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  |  
浏览/下载:76/0
  |  
提交时间:2021/06/01
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
Probe Efficient Feature Representation of Gapped K-mer Frequency Vectors from Sequences Using Deep Neural Networks
期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 卷号: 17, 期号: 2, 页码: 657-667
作者:
Cao, Zhen
;
Zhang, Shihua
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浏览/下载:28/0
  |  
提交时间:2020/05/24
DNA
Bioinformatics
Kernel
Feature extraction
Support vector machines
Genomics
Task analysis
Bioinformatics
machine learning
gapped k-mer
deep neural network
transcription factor binding site prediction
SAR target configuration recognition based on the biologically inspired model
期刊论文
NEUROCOMPUTING, 2017, 卷号: 234, 页码: 185-191
作者:
Huang, Xiayuan
;
Nie, Xiangli
;
Wu, Wei
;
Qiao, Hong
;
Zhang, Bo
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  |  
浏览/下载:19/0
  |  
提交时间:2018/07/30
Biologically inspired model
SAR target configuration recognition
Episodic features
Semantic features
Aspect angle estimation
Biologically Inspired Model for Visual Cognition Achieving Unsupervised Episodic and Semantic Feature Learning
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 10, 页码: 2335-2347
作者:
Qiao, Hong
;
Li, Yinlin
;
Li, Fengfu
;
Xi, Xuanyang
;
Wu, Wei
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  |  
浏览/下载:12/0
  |  
提交时间:2018/07/30
Biologically inspired
hierarchical model
key components learning
semantic description
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