Connectionists: NEURAL NETWORKS, Sept. 2022
Wang, Deliang
dwang at cse.ohio-state.edu
Mon Aug 29 21:28:16 EDT 2022
Neural Networks - Volume 153, September 2022
https://www.journals.elsevier.com/neural-networks
Dimensionality of the intermediate-level representation of shape and texture in monkey V4
Atsushi Kodama, Kouji Kimura, Ko Sakai
A survey for deep reinforcement learning in Markovian cyber-physical systems: Common problems and solutions
Timothy Rupprecht, Yanzhi Wang
Transfer learning for motor imagery based brain-computer interfaces: A tutorial
Dongrui Wu, Xue Jiang, Ruimin Peng
Computational role of exploration noise in error-based de novo motor learning
Lucas Rebelo Dal'Bello, Jun Izawa
A new predefined-time stability theorem and its application in the synchronization of memristive complex-valued BAM neural networks
Aidi Liu, Hui Zhao, Qingjie Wang, Sijie Niu, ... Lixiang Li
Graph Transformer Networks: Learning meta-path graphs to improve GNNs
Seongjun Yun, Minbyul Jeong, Sungdong Yoo, Seunghun Lee, ... Hyunwoo J. Kim
Reducing noisy annotations for depression estimation from facial images
Lang He, Prayag Tiwari, Chonghua Lv, WenShuai Wu, Liyong Guo
MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks
Bo Jiang, Si Chen, Beibei Wang, Bin Luo
SepNet: A neural network for directionally correlated data
Fuchang Gao, Yiqing Ma, Boyu Zhang, Min Xian
Riemannian gradient methods for stochastic composition problems
Feihu Huang, Shangqian Gao
Training much deeper spiking neural networks with a small number of time-steps
Qingyan Meng, Shen Yan, Mingqing Xiao, Yisen Wang, ... Zhi-Quan Luo
A universal adversarial policy for text classifiers
Gallil Maimon, Lior Rokach
Graph regularized spatial-spectral subspace clustering for hyperspectral band selection
Jun Wang, Chang Tang, Xiao Zheng, Xinwang Liu, ... En Zhu
Reframing control methods for parameters optimization in adversarial image generation
Qamar Alfalouji, Piergiorgio Sartor, Pietro Zanuttigh
Online subspace learning and imputation by Tensor-Ring decomposition
Jinshi Yu, Tao Zou, Guoxu Zhou
>From YouTube to the brain: Transfer learning can improve brain-imaging predictions with deep learning
Nahiyan Malik, Danilo Bzdok
Privacy preserving Generative Adversarial Networks to model Electronic Health Records
Rohit Venugopal, Noman Shafqat, Ishwar Venugopal, Benjamin Mark John Tillbury, ... Aikaterini Bourazeri
Image super-resolution with an enhanced group convolutional neural network
Chunwei Tian, Yixuan Yuan, Shichao Zhang, Chia-Wen Lin, ... David Zhang
SIRe-Networks: Convolutional neural networks architectural extension for information preservation via skip/residual connections and interlaced auto-encoders
Danilo Avola, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti
Single-layer vision transformers for more accurate early exits with less overhead
Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
Modularity-aware graph autoencoders for joint community detection and link prediction
Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis
Oblique and rotation double random forest
M.A. Ganaie, M. Tanveer, P.N. Suganthan, V. Snasel
Online action proposal generation using spatio-temporal attention network
Kanchan Keisham, Amin Jalali, Minho Lee
A systematic exploration of reservoir computing for forecasting complex spatiotemporal dynamics
Jason A. Platt, Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Henry D.I. Abarbanel
Toward reliable designs of data-driven reinforcement learning tracking control for Euler-Lagrange systems
Zhikai Yao, Jianyong Yao
Approximation properties of Gaussian-binary restricted Boltzmann machines and Gaussian-binary deep belief networks
Linyan Gu, Lihua Yang, Feng Zhou
Successfully and efficiently training deep multi-layer perceptrons with logistic activation function simply requires initializing the weights with an appropriate negative mean
Ahmet Yilmaz, Riccardo Poli
Exploring phase-amplitude coupling from primary motor cortex-basal ganglia-thalamus network model
Ying Yu, Fang Han, Qingyun Wang
Boolean matrix factorization based on collaborative neurodynamic optimization with Boltzmann machines
Xinqi Li, Jun Wang, Sam Kwong
Quantum Neural Networks and Topological Quantum Field Theories
Antonino Marciano, Deen Chen, Filippo Fabrocini, Chris Fields, ... Emanuele Zappala
Neural network interpolation operators optimized by Lagrange polynomial
Guoshun Wang, Dansheng Yu, Ping Zhou
Fixed-time synchronization of discontinuous competitive neural networks with time-varying delays
Caicai Zheng, Cheng Hu, Juan Yu, Haijun Jiang
Approximation in shift-invariant spaces with deep ReLU neural networks
Yunfei Yang, Zhen Li, Yang Wang
Approximation rates of DeepONets for learning operators arising from advection-diffusion equations
Beichuan Deng, Yeonjong Shin, Lu Lu, Zhongqiang Zhang, George Em Karniadakis
The minimum regret path problem on stochastic fuzzy time-varying networks
Wei Huang, Zhilei Xu, Liehuang Zhu
Convergence of deep convolutional neural networks
Yuesheng Xu, Haizhang Zhang
Sparse signal reconstruction via recurrent neural networks with hyperbolic tangent function
Hongsong Wen, Xing He, Tingwen Huang
Adaptive 2-bits-triggered neural control for uncertain nonlinear multi-agent systems with full state constraints
Zicong Chen, Jianhui Wang, Tao Zou, Kemao Ma, Qinruo Wang
Recurrent neural networks as kinematics estimator and controller for redundant manipulators subject to physical constraints
Ning Tan, Peng Yu, Shen Liao, Zhenglong Sun
Scalp EEG functional connection and brain network in infants with West syndrome
Runze Zheng, Yuanmeng Feng, Tianlei Wang, Jiuwen Cao, ... Feng Gao
Cardinality-constrained portfolio selection via two-timescale duplex neurodynamic optimization
Man-Fai Leung, Jun Wang, Hangjun Che
ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition
Sirui Zhao, Huaying Tang, Shifeng Liu, Yangsong Zhang, ... Cuntai Guan
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