Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Zou, Wenxuan"'
Autor:
Zou, Wenxuan, Huang, Haiping
Publikováno v:
SciPost Phys. Lect. Notes 79 (2024)
Dynamical mean-field theory is a powerful physics tool used to analyze the typical behavior of neural networks, where neurons can be recurrently connected, or multiple layers of neurons can be stacked. However, it is not easy for beginners to access
Externí odkaz:
http://arxiv.org/abs/2305.08459
Publikováno v:
Phys. Rev. E 108, 014309 (2023)
An obstacle to artificial general intelligence is set by continual learning of multiple tasks of different nature. Recently, various heuristic tricks, both from machine learning and from neuroscience angles, were proposed, but they lack a unified the
Externí odkaz:
http://arxiv.org/abs/2212.02846
Autor:
Zou, Wenxuan, Sun, Muyi
With the development of deep convolutional neural networks, medical image segmentation has achieved a series of breakthroughs in recent years. However, the high-performance convolutional neural networks always mean numerous parameters and high comput
Externí odkaz:
http://arxiv.org/abs/2203.08667
Autor:
Zou, Wenxuan, Sun, Muyi
In recent years, deep convolutional neural networks have made significant advances in pathology image segmentation. However, pathology image segmentation encounters with a dilemma in which the higher-performance networks generally require more comput
Externí odkaz:
http://arxiv.org/abs/2108.12173
3D to 2D retinal vessel segmentation is a challenging problem in Optical Coherence Tomography Angiography (OCTA) images. Accurate retinal vessel segmentation is important for the diagnosis and prevention of ophthalmic diseases. However, making full u
Externí odkaz:
http://arxiv.org/abs/2108.11695
Publikováno v:
Phys. Rev. E 107, 024307 (2023)
Recurrent neural networks are widely used for modeling spatio-temporal sequences in both nature language processing and neural population dynamics. However, understanding the temporal credit assignment is hard. Here, we propose that each individual c
Externí odkaz:
http://arxiv.org/abs/2102.03740
Publikováno v:
In Journal of Membrane Science 15 January 2024 690
Autor:
Zou, Wenxuan, Huang, Haiping
Publikováno v:
Phys. Rev. Research 3, 033290 (2021)
The geometric structure of an optimization landscape is argued to be fundamentally important to support the success of deep neural network learning. A direct computation of the landscape beyond two layers is hard. Therefore, to capture the global vie
Externí odkaz:
http://arxiv.org/abs/2007.08093
Autor:
Zhang, Lina, Qi, Desheng, Peng, Milin, Meng, Binbin, Wang, Xinrun, Zhang, Xiaolei, Zuo, Zhihong, Li, Li, Wang, Zhanwen, Zou, Wenxuan, Hu, Zhonghua, Qian, Zhaoxin
Publikováno v:
In iScience 20 October 2023 26(10)
Akademický článek
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