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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
Favorite  |  View/Download:11/0  |  Submit date:2021/10/26
Computer architecture  Training  Optimization  Neural networks  Search methods  Australia  Germanium  AutoML  neural architecture search  continual learning  catastrophic forgetting  novelty search  
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  
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
Favorite  |  View/Download:16/0  |  Submit date:2021/06/01
Synchronization  Protocols  Stochastic processes  Artificial neural networks  Adaptive systems  Perturbation methods  Complex dynamical network  Lyapunov function  networked system  stochastic perturbation  synchronization  
Solving forward and inverse problems of the logarithmic nonlinear Schrodinger equation with PT-symmetric harmonic potential via deep learning 期刊论文
PHYSICS LETTERS A, 2021, 卷号: 387, 页码: 12
Authors:  Zhou, Zijian;  Yan, Zhenya
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Logarithmic nonlinear Schrodinger equation  PT-symmetric potentials  Physics-informed neural networks  Deep learning  Data-driven discovery of LNLS equation  Data-driven solitons  
An Integrative Framework for Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2021, 卷号: 18, 期号: 1, 页码: 355-364
Authors:  Jing, Fang;  Zhang, Shao-Wu;  Cao, Zhen;  Zhang, Shihua
Favorite  |  View/Download:21/0  |  Submit date:2021/04/26
Bioinformatics  machine learning  transcription factors binding sites  convolutional neural networks  DNA accessibility  histone modification  
Circular Complex-Valued GMDH-Type Neural Network for Real-Valued Classification Problems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5285-5299
Authors:  Xiao, Jin;  Jia, Yanlin;  Jiang, Xiaoyi;  Wang, Shouyang
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Biological system modeling  Data models  Biological neural networks  Predictive models  Neurons  Mathematical model  Complex-valued external criterion  complex-valued group method of data handling (GMDH)-type neural network  parameter estimation  real-valued classification  
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
Authors:  Yan, Liang;  Zhou, Tao
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Bayesian inverse problems  deep neural networks  multi-fidelity surrogate modeling  Markov chain Monte Carlo  
NeuralEE: A GPU-Accelerated Elastic Embedding Dimensionality Reduction Method for Visualizing Large-Scale scRNA-Seq Data 期刊论文
FRONTIERS IN GENETICS, 2020, 卷号: 11, 页码: 8
Authors:  Xiong, Jiankang;  Gong, Fuzhou;  Wan, Lin;  Ma, Liang
Favorite  |  View/Download:24/0  |  Submit date:2021/01/14
single-cell RNA sequencing  elastic embedding  neural networks  large-scale  stochastic optimization  parametric models  generalizable models  
Quantifying the generalization error in deep learning in terms of data distribution and neural network smoothness 期刊论文
NEURAL NETWORKS, 2020, 卷号: 130, 页码: 85-99
Authors:  Jin, Pengzhan;  Lu, Lu;  Tang, Yifa;  Karniadakis, George Em
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Neural networks  Generalization error  Learnability  Data distribution  Cover complexity  Neural network smoothness  
Output Tracking of Boolean Control Networks 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2020, 卷号: 65, 期号: 6, 页码: 2730-2735
Authors:  Zhang, Xiao;  Wang, Yuanhua;  Cheng, Daizhan
Favorite  |  View/Download:21/0  |  Submit date:2020/09/23
Controllability  Indexes  Trajectory  Open loop systems  Artificial neural networks  Tracking loops  Control theory  Boolean control network (BCN)  control invariant subset  output tracking  semitensor product (STP)  set controllability