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Publication search results
found 510 matches
- 2024
- Phuong-Nam Nguyen:
Biomarker discovery with quantum neural networks: a case-study in CTLA4-activation pathways. BMC Bioinform. 25(1): 149 (2024) - Libo Wang, Guigui Xu:
Quasi-synchronization of fractional-order complex-value BAM neural networks with time delays and discontinuous activations. Comput. Appl. Math. 43(6): 391 (2024) - Yanqiu Wu, Zhengwen Tu, Nina Dai, Liangwei Wang, Ning Hu, Tao Peng:
Stability Analysis of Quaternion-Valued Neutral Neural Networks with Generalized Activation Functions. Cogn. Comput. 16(1): 392-403 (2024) - Xuan Wang, Dongbing Tong, Qiaoyu Chen, Wuneng Zhou:
Fixed-Time Synchronization and Energy Consumption Prediction of Interconnected Memristive Neural Networks with Discontinuous Activation Functions. Circuits Syst. Signal Process. 43(11): 6977-6995 (2024) - Kit Wong, Rolf Dornberger, Thomas Hanne:
An analysis of weight initialization methods in connection with different activation functions forfeedforward neural networks. Evol. Intell. 17(3): 2081-2089 (2024) - Shiv Shankar Chouhan, Subir Das, Xiaofeng Chen:
Coexistence of locally multistable equilibrium points for n-neuron delayed quaternion-valued neural networks with continuous piecewise nonlinear activation functions. Neurocomputing 594: 127868 (2024) - Liu Yang, Weiqiang Gong, Qiang Li, Fanrong Sun, Mali Xing:
Multistability analysis of complex-valued recurrent neural networks with sine and cosine activation functions. Neurocomputing 577: 127382 (2024) - Yang Liu, Zhen Wang, Min Xiao:
μ-stability and instability of multiple equilibrium points in delayed neural networks with general discontinuous activation functions. Inf. Sci. 660: 120129 (2024) - Jiarui Wang, Song Zhu, Qingyang Ma, Chaoxu Mu, Xiaoyang Liu, Shiping Wen:
Multistability of recurrent neural networks with general periodic activation functions and unbounded time-varying delays. J. Frankl. Inst. 361(18): 107236 (2024) - Sammy Khalife, Hongyu Cheng, Amitabh Basu:
Neural networks with linear threshold activations: structure and algorithms. Math. Program. 206(1): 333-356 (2024) - Zhixia Ding, Jianhao Wang, Sai Li, Le Yang, Liheng Wang:
Fixed-time synchronization of fractional-order complex-valued delayed neural networks with discontinuous activation functions. Neural Comput. Appl. 36(26): 15947-15959 (2024) - Khush Attarde, Javed Sayyad:
GEPAF: A non-monotonic generalized activation function in neural network for improving prediction with diverse data distributions characteristics. Neural Networks 180: 106738 (2024) - Chunhua Wang, Junhui Liang, Quanli Deng:
Dynamics of heterogeneous Hopfield neural network with adaptive activation function based on memristor. Neural Networks 178: 106408 (2024) - Mohamed Fakhfakh, Lotfi Chaâri:
Bayesian Optimization for Sparse Neural Networks With Trainable Activation Functions. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6699-6712 (2024) - Huan Xiong, Lei Huang, Wenston J. T. Zang, Xiantong Zhen, Guo-Sen Xie, Bin Gu, Le Song:
On the Number of Linear Regions of Convolutional Neural Networks With Piecewise Linear Activations. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 5131-5148 (2024) - Yiyue Jiang, Andrius Vaicaitis, John Dooley, Miriam Leeser:
Efficient Neural Networks on the Edge with FPGAs by Optimizing an Adaptive Activation Function. Sensors 24(6): 1829 (2024) - Yufeng Zhou, Zhigang Zeng:
Event-Triggered Finite-Time Stabilization of Fuzzy Neural Networks With Infinite Time Delays and Discontinuous Activations. IEEE Trans. Fuzzy Syst. 32(1): 1-11 (2024) - Yuesheng Xu, Haizhang Zhang:
Uniform Convergence of Deep Neural Networks With Lipschitz Continuous Activation Functions and Variable Widths. IEEE Trans. Inf. Theory 70(10): 7125-7142 (2024) - Bo Liu:
Spurious Local Minima are Common for Deep Neural Networks With Piecewise Linear Activations. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5382-5394 (2024) - Zeyang Zhang, Yidong Chen, Changle Zhou:
Self-Growing Binary Activation Network: A Novel Deep Learning Model With Dynamic Architecture. IEEE Trans. Neural Networks Learn. Syst. 35(1): 624-633 (2024) - Jiangrong Shen, Wenyao Ni, Qi Xu, Huajin Tang:
Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning. AAAI 2024: 611-619 - Xin Qiao, Jiahao Song, Youming Yang, Renjie Wei, Xiyuan Tang, Meng Li, Runsheng Wang, Yuan Wang:
MixCIM: A Hybrid-Cell-Based Computing-in-Memory Macro with Less-Data-Movement and Activation-Memory-Reuse for Depthwise Separable Neural Networks. CICC 2024: 1-2 - Pranjal Awasthi, Nishanth Dikkala, Pritish Kamath, Raghu Meka:
Learning Neural Networks with Sparse Activations. COLT 2024: 406-425 - Yiyue Jiang, Andrius Vaicaitis, John Dooley, Miriam Leeser:
Efficient Neural Networks on the Edge with FPGAs by Optimizing an Adaptive Activation Function. FPGA 2024: 184 - Sebastian Eliassen, Raghavendra Selvan:
Activation Compression of Graph Neural Networks Using Block-Wise Quantization with Improved Variance Minimization. ICASSP 2024: 7430-7434 - Nima Hosseini Dashtbayaz, Ghazal Farhani, Boyu Wang, Charles X. Ling:
Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations. IJCAI 2024: 5853-5861 - Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli:
VC dimension of Graph Neural Networks with Pfaffian activation functions. CoRR abs/2401.12362 (2024) - Mihailo Stojnic:
Exact capacity of the \emph{wide} hidden layer treelike neural networks with generic activations. CoRR abs/2402.05719 (2024) - Sota Nishiyama, Masayuki Ohzeki:
Solution space and storage capacity of fully connected two-layer neural networks with generic activation functions. CoRR abs/2404.13404 (2024) - Nima Hosseini Dashtbayaz, Ghazal Farhani, Boyu Wang, Charles X. Ling:
Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations. CoRR abs/2405.01680 (2024)
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