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The talk proposes a deep learning method specifically dealing with the forward and inverse problem of variable coefficient partial differential equations-Variable Coefficient Physics-Informed Neural N...
In this talk, we discuss a unifying deep unfolding multi-sampling-ratio interpretable CS-MRI framework. The combined approach offers more generalizability than the existing deep-learning-based CS-MRI ...
We shall discuss various Barron type spaces arising from neural networks. The relations among these spaces will be clarified, and we shall also establish the relationship between Barron type spaces an...
The focus of this talk is on the numerical methods used to identify parameters in partial differential equations. Typically, an optimization approach is used to solve this class of inverse problems, w...
We investigate informal risk sharing using a dynamic network game model. In each round, a randomly selected agent experiences a negative shock, and the agent's friends decide whether to provide assist...
We study the problem of designing efficient network sequentially. In each period, the planner connects two unlinked agents in the network formed in previous periods, then the agents play a game with l...
Nonlinear modelling of dynamic spatio-temporal network data is often a challenge with various issues, in particular due to irregularly observed locations and location-wide non-stationarity. In this pa...
The pathogenesis of breast cancer is not the same in all countries and regions; therefore, some existing breast cancer risk assessment models are not well adapted to all countries and regions, includi...
With the advantages of fast calculating speed and high precision, the physics-informed neural network method opens up a new approach for numerically solving nonlinear partial differential equations. B...
Community structure division is a crucial problem in the field of network data analysis. Algorithms based on Markov chains are easy to use and provide promising solutions for community detection. In a...
2018年国际亚太道德教育学术研讨会(The 12th Anniversary Conference of the Asia-Pacific Network for Moral Education (APNME))。
Tensor network states have in recent years emerged as a powerful theoretical tool to study quantum collective phenomena. Some of the most popular tensor networks, such as the matrix product state (MPS...
It is our great honor to invite you to the 7th Fermi Asian Network Workshop (FAN7), which will be held during Dec 7-11, 2017, in Lijiang, China. The FAN was established in 2010 to promote collaboratio...
It is our great honor to invite you to the 7th Fermi Asian Network Workshop (FAN7), which will be held during Dec 7-11, 2017, in Lijiang, China. The FAN was established in 2010 to promote collaboratio...
Wireless network virtualization and cloud-based technologies allow flexible dynamic network composition and lower the entry barriers to the market for both emerging wireless resource providers and nic...

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