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One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2921-2935
Authors:  Zhang, Miao;  Li, Huiqi;  Pan, Shirui;  Chang, Xiaojun;  Zhou, Chuan;  Ge, Zongyuan;  Su, Steven
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Computer architecture  Training  Optimization  Neural networks  Search methods  Australia  Germanium  AutoML  neural architecture search  continual learning  catastrophic forgetting  novelty search  
Almost sure convergence of randomised-difference descent algorithm for stochastic convex optimisation 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2021, 页码: 12
Authors:  Geng, Xiaoxue;  Huang, Gao;  Zhao, Wenxiao
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Data-driven rogue waves and parameter discovery in the defocusing nonlinear Schrodinger equation with a potential using the PINN deep learning 期刊论文
PHYSICS LETTERS A, 2021, 卷号: 404, 页码: 7
Authors:  Wang, Li;  Yan, Zhenya
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Defocusing NLS equation with the  time-dependent potential  Initial-boundary value conditions  Physics-informed neural networks  Deep learning  Data-driven rogue waves and parameter discovery  
Analyzing the barren plateau phenomenon in training quantum neural networks with the ZX-calculus 期刊论文
QUANTUM, 2021, 卷号: 5, 页码: 49
Authors:  Zhao, Chen;  Gao, Xiao-Shan
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Deep Nitsche Method: Deep Ritz Method with Essential Boundary Conditions 期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2021, 卷号: 29, 期号: 5, 页码: 1365-1384
Authors:  Liao, Yulei;  Ming, Pingbing
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Deep Nitsche Method  Deep Ritz Method  neural network approximation  mixed boundary conditions  curse of dimensionality  
A Novel Synchronization Protocol for Nonlinear Stochastic Dynamical Networked Systems 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 5, 页码: 2676-2686
Authors:  Gu, Haibo;  Wang, Xiong;  Liu, Kexin;  Lu, Jinhu
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Synchronization  Protocols  Stochastic processes  Artificial neural networks  Adaptive systems  Perturbation methods  Complex dynamical network  Lyapunov function  networked system  stochastic perturbation  synchronization  
DeepDigest: Prediction of Protein Proteolytic Digestion with Deep Learning 期刊论文
ANALYTICAL CHEMISTRY, 2021, 卷号: 93, 期号: 15, 页码: 6094-6103
Authors:  Yang, Jinghan;  Gao, Zhiqiang;  Ren, Xiuhan;  Sheng, Jie;  Xu, Ping;  Chang, Cheng;  Fu, Yan
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hReg-CNCC reconstructs a regulatory network in human cranial neural crest cells and annotates variants in a developmental context 期刊论文
COMMUNICATIONS BIOLOGY, 2021, 卷号: 4, 期号: 1, 页码: 16
Authors:  Feng, Zhanying;  Duren, Zhana;  Xiong, Ziyi;  Wang, Sijia;  Liu, Fan;  Wong, Wing Hung;  Wang, Yong
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The role of news sentiment in oil futures returns and volatility forecasting: Data-decomposition based deep learning approach 期刊论文
ENERGY ECONOMICS, 2021, 卷号: 95, 页码: 11
Authors:  Li, Yuze;  Jiang, Shangrong;  Li, Xuerong;  Wang, Shouyang
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News sentiment  Returns and volatility forecasting  Variational mode decomposition  Deep learning  
Towards understanding residual and dilated dense neural networks via convolutional sparse coding 期刊论文
NATIONAL SCIENCE REVIEW, 2021, 卷号: 8, 期号: 3, 页码: 13
Authors:  Zhang, Zhiyang;  Zhang, Shihua
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convolutional neural network  convolutional sparse coding  residual neural network  mixed-scale dense neural network  dilated convolution  dense connection