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ORCID31st ICONIP 2024: Auckland, New Zealand - Part II
- Mufti Mahmud
, Maryam Doborjeh, Kevin Kok Wai Wong, Andrew Chi-Sing Leung, Zohreh Doborjeh, M. Tanveer:
Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15287, Springer 2025, ISBN 978-981-96-6578-5 - Itsuki Kanemura, Katsunori Kitano:
Network Structure and Recurrent Dynamics Achieved by Maximizing Information Transfer and Minimizing Maintenance Costs of the Network. 1-15 - Wenxin Xiong, Keyuan Hu, Jiajun He, Chi-Sing Leung, Hing Cheung So, John Sum:
Outlier-Robust Range-Based Method for Estimating the Location and Velocity of a Moving Source Using LPNN. 16-30 - Margarita Zaleshina, Alexander Zaleshin:
Spatial Analysis Techniques in Recognition and Localization of Mouse Neuronal Activity. 31-43 - Xu Zou, Chang You, Runjie Zhao, Haozheng Yang, Xuelin Cheng:
ScaleMixer: A Multi-scale MLP-mixer Model for Long-Term Time Series Forecasting. 44-58 - Haochen You, Baojing Liu:
Application of Pseudometric Functions in Clustering and a Novel Similarity Measure Based on Path Information Discrepancy. 59-73 - Joseph Emmanuel DL Dayo, Prospero C. Naval Jr.:
USAM-Net: A U-Net-Based Network for Improved Stereo Correspondence and Scene Depth Estimation Using Features from a Pre-trained Image Segmentation Network. 74-88 - Ruixuan Ren, Tiejun Li, Xinru Wang, Hanqing Li, Yuhan Tang, Yi Xie, Jianmin Zhang:
TaW-PeRCNN:Time-Adaptive Weights Physics-Encoded Recurrent Convolutional Neural Network for Solving Partial Differential Equations. 89-103 - Kaiyue Wu, Changwu Huang, Xin Yao:
An Explainable Error Detection Approach for Machine Learning. 104-118 - Xinxin Shi, Ye Lin, Xianhe Cheng, Peixuan Zhang, Dingkang Yang, Lihua Zhang:
T-GET3D: A Generative Model of High-Quality 3D Textured Shapes Guided by Texts. 119-134 - Ahmad Shahi, Mamehgol Yousefi, Brendon J. Woodford, Farhaan Mirza, Tapabrata Chakraborti:
Conformal Adversarial Generative Ensemble. 135-150 - Takanori Hashimoto, Teijiro Isokawa, Naotake Kamiura:
Virtual Command Allocation: Enhancing Hexapod Robot Locomotion Through Goal-Conditioned Reinforcement Learning. 151-165 - Haoran Zhao, Mingcheng Chen, Weinan Zhang, Yong Yu:
Adaptive Retrieval-Based Gradient Planning for Offline Multi-context Model-Based Optimization. 166-181 - Jiaosai Li, Zhen Liu, Zhenfeng Su, Zhiming Zhou:
RBHAR: Role-Based Heterogeneous Action Representation in Multi-agent Reinforcement Learning. 182-196 - Mashfiqul Huq Chowdhury, Yuichi Hirose, Stephen Marsland, Yuan Yao:
Deep Mixtures of Variational Autoencoders Model for Representation Learning and Clustering Tasks. 197-211 - Lena Sasal, Daniel Busby, Abdenour Hadid:
TempoKGAT: A Novel Graph Attention Network Approach for Temporal Graph Analysis. 212-226 - Alexander G. Sboev, Dmitry Kunitsyn, Yury Davydov, Danila Vlasov, Alexey Serenko, Roman B. Rybka, Yuanchao Liu:
Direct Correlational Spike-Timing-Dependent Plasticity Learning Applied to Classification Tasks. 227-241 - M. Sajid, Abdul Quadir, Muhammad Tanveer:
Wave-RVFL: A Randomized Neural Network Based on Wave Loss Function. 242-257 - Chao Wang, Shuai Gao, Xinming Sun, Shiji Liu, Wanli Lv:
Dual Cross Fusion Deep-Unfolding Transformer for Hyperspectral Image Reconstruction. 258-272 - Douglas Almeida Vidal, Rodrigo G. F. Soares, Glauco Estácio Gonçalves, Aline P. S. C. Feitosa, Kauan M. Tavares, Marcos C. R. Seruffo:
A Weight Averaging Neural Network for Semi-supervised Data Stream Learning. 273-289 - Wenjie Lei, Chi-Sing Leung, Kwok Wa Leung:
Robust Noise Tolerant Algorithm for Randomized Neural Network. 290-305 - Xiangyu Pang, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye:
Tackling Periodic Distribution Shifts in Federated Learning with Half-Cycle Knowledge Distillation. 306-321 - Yanqi Cui, Hongyun Huang, Yonglong Ni, Zuohua Ding:
Multi-scale Attention Convolutional Network and Reinforcement Learning for Flexible Job Shop Scheduling. 322-337 - Yong Wang, Mingxiao Feng, Haolin Song, Wengang Zhou, Houqiang Li:
Temporal State Prediction and Sequence Recovery for Multi-agent Reinforcement Learning. 338-353 - Samuel Stocksieker, Denys Pommeret, Arthur Charpentier:
Data Augmentation with Variational Autoencoder for Imbalanced Dataset. 354-370 - Ravi Kumar Jha, Nikola Kasabov, Damien Coyle, Saugat Bhattacharyya, Girijesh Prasad:
Performance Analysis of Quantum-Enhanced Kernel Classifiers Based on Feature Maps: A Case Study on EEG-BCI Data. 371-383 - Ziming Zhao, Jun Yan, Huilin Yin:
Certified Patch Defense via Dual Mask-Preservation Prediction. 384-398 - Qingxin Meng, Jian-wei Liu:
Proximal Point Method for Online Saddle Point Problem. 399-414 - Nutan Chen, Patrick van der Smagt, Botond Cseke:
Fast Preserving Local Distances and Topology in Auto-encoders. 415-430 - Zhijian Zhuo, Jinwen Ma:
Neural Collapse Inspired Regularization for Deep Graph Neural Networks. 431-446
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