Connectionists: NEURAL NETWORKS, Aug. 2022

[Wang, Deliang]

Neural Networks - Volume 152, August 2022
https://www.journals.elsevier.com/neural-networks


Robust kernel principal component analysis with optimal mean
Pei Li, Wenlin Zhang, Chengjun Lu, Rui Zhang, Xuelong Li

Dynamic image clustering from projected coordinates of deep similarity learning
Jui-Hung Chang, Yin-Chung Leung

Deep networks may capture biological behavior for shallow, but not deep, empirical characterizations
Peter Neri

Branching time active inference: Empirical study and complexity class analysis
Théophile Champion, Howard Bowman, Marek Grzes

Social impact and governance of AI and neurotechnologies
Kenji Doya, Arisa Ema, Hiroaki Kitano, Masamichi Sakagami, Stuart Russell

A neuroscience-inspired spiking neural network for EEG-based auditory spatial attention detection
Faramarz Faghihi, Siqi Cai, Ahmed A. Moustafa

Deep unsupervised feature selection by discarding nuisance and correlated features
Uri Shaham, Ofir Lindenbaum, Jonathan Svirsky, Yuval Kluger

Context meta-reinforcement learning via neuromodulation
Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas A. Ketz, Praveen K. Pilly, Andrea Soltoggio

Multistability analysis of delayed recurrent neural networks with a class of piecewise nonlinear activation functions
Yang Liu, Zhen Wang, Qian Ma, Hao Shen

Discovering diverse solutions in deep reinforcement learning by maximizing state-action-based mutual information
Takayuki Osa, Voot Tangkaratt, Masashi Sugiyama

Sparse factorization of square matrices with application to neural attention modeling
Ruslan Khalitov, Tong Yu, Lei Cheng, Zhirong Yang

Optimistic reinforcement learning by forward Kullback-Leibler divergence optimization
Taisuke Kobayashi

A new deep learning framework based on blood pressure range constraint for continuous cuffless BP estimation
Yongyi Chen, Dan Zhang, Hamid Reza Karimi, Chao Deng, Wutao Yin

Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception
Ridong Han, Tao Peng, Jiayu Han, Hai Cui, Lu Liu

Non-linear perceptual multi-scale network for single image super-resolution
Aiping Yang, Leilei Li, Jinbin Wang, Zhong Ji, ... Zihao Wei

Event-triggered integral reinforcement learning for nonzero-sum games with asymmetric input saturation
Shan Xue, Biao Luo, Derong Liu, Ying Gao

Attributed graph clustering with multi-task embedding learning
Xiaotong Zhang, Han Liu, Xianchao Zhang, Xinyue Liu

Deep learning, reinforcement learning, and world models
Yutaka Matsuo, Yann LeCun, Maneesh Sahani, Doina Precup, ... Jun Morimoto

Multi-level landmark-guided deep network for face super-resolution
Cheng Zhuang, Minqi Li, Kaibing Zhang, Zheng Li, Jian Lu

Sediment Prediction in the Great Barrier Reef using Vision Transformer with finite element analysis
Mohammad Jahanbakht, Wei Xiang, Mostafa Rahimi Azghadi

Embedding graphs on Grassmann manifold
Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao

Generative convolution layer for image generation
Seung Park, Yong-Goo Shin

Replacing pooling functions in Convolutional Neural Networks by linear combinations of increasing functions
Iosu Rodriguez-Martinez, Julio Lafuente, Regivan H.N. Santiago, Graçaliz Pereira Dimuro, ... Humberto Bustince

LAP: Latency-aware automated pruning with dynamic-based filter selection
Zailong Chen, Chubo Liu, Wangdong Yang, Kenli Li, Keqin Li

Visual context learning based on textual knowledge for image-text retrieval
Yuzhuo Qin, Xiaodong Gu, Zhenshan Tan

Semantic consistency learning on manifold for source data-free unsupervised domain adaptation
Song Tang, Yan Zou, Zihao Song, Jianzhi Lyu, ... Jianwei Zhang

GIU-GANs: Global Information Utilization for Generative Adversarial Networks
Yongqi Tian, Xueyuan Gong, Jialin Tang, Binghua Su, ... Xinyuan Zhang

A multivariate adaptive gradient algorithm with reduced tuning efforts
Samer Saab, Khaled Saab, Shashi Phoha, Minghui Zhu, Asok Ray

Human-guided auto-labeling for network traffic data: The GELM approach
Meejoung Kim, Inkyu Lee

Weighted Incremental-Decremental Support Vector Machines for concept drift with shifting window
Honorius Galmeanu, Razvan Andonie

Organization of a Latent Space structure in VAE/GAN trained by navigation data
Hiroki Kojima, Takashi Ikegami

Context-aware dynamic neural computational models for accurate Poly(A) signal prediction
Yanbu Guo, Chaoyang Li, Dongming Zhou, Jinde Cao, Hui Liang

ExSpliNet: An interpretable and expressive spline-based neural network
Daniele Fakhoury, Emanuele Fakhoury, Hendrik Speleers

A manifold learning approach for gesture recognition from micro-Doppler radar measurements
E.S. Mason, H.N. Mhaskar, Adam Guo

Sampled-data synchronization of complex network based on periodic self-triggered intermittent control and its application to image encryption
Hui Zhou, Zijiang Liu, Dianhui Chu, Wenxue Li

Set-membership filtering for complex networks with constraint communication channels
Chang Liu, Lixin Yang, Jie Tao, Yong Xu, Tingwen Huang

Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning
Amalie Heiberg, Thomas Nakken Larsen, Eivind Meyer, Adil Rasheed, ... Damiano Varagnolo

Artificial neural networks with conformable transfer function for improving the performance in thermal and environmental processes
J.E. Solis-Perez, J.A. Hernandez, A. Parrales, J.F. Gomez-Aguilar, A. Huicochea

Tri-view two-photon microscopic image registration and deblurring with convolutional neural networks
Sehyung Lee, Hideaki Kume, Hidetoshi Urakubo, Haruo Kasai, Shin Ishii

Quantum pulse coupled neural network
Zhaobin Wang, Minzhe Xu, Yaonan Zhang

DynamicNet: A time-variant ODE network for multi-step wind speed prediction
Rui Ye, Xutao Li, Yunming Ye, Baoquan Zhang

A dynamical neural network approach for solving stochastic two-player zero-sum games
Dawen Wu, Abdel Lisser

Spatiotemporal CNN with Pyramid Bottleneck Blocks: Application to eye blinking detection
S.E. Bekhouche, I. Kajo, Y. Ruichek, F. Dornaika

Multivariate time series forecasting method based on nonlinear spiking neural P systems and non-subsampled shearlet transform
Lifan Long, Qian Liu, Hong Peng, Jun Wang, Qian Yang

Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images
Liwen Zhang, Lianzhen Zhong, Cong Li, Wenjuan Zhang, ... Jie Tian

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