13 citations · 21 across the 5 of their papers we have counts for
6 papers
Learning to Prune Instances of Steiner Tree Problem in Graphs
Jiwei Zhang, Deepak Ajwani
We consider the Steiner tree problem on graphs where we are given a set of nodes and the goal is to find a tree sub-graph of minimum weight that contains all nodes in the given set…
Variational Autoencoder with CCA for Audio-Visual Cross-Modal Retrieval
Jiwei Zhang, Yi Yu, Suhua Tang +2
Cross-modal retrieval is to utilize one modality as a query to retrieve data from another modality, which has become a popular topic in information retrieval, machine learning, and…
Frequency Principle in Deep Learning Beyond Gradient-descent-based Training
Yuheng Ma, Zhi-Qin John Xu, Jiwei Zhang
Frequency perspective recently makes progress in understanding deep learning. It has been widely verified in both empirical and theoretical studies that deep neural networks (DNNs)…
Implicit bias with Ritz-Galerkin method in understanding deep learning for solving PDEs
Jihong Wang, Zhi-Qin John Xu, Jiwei Zhang +1
This paper aims at studying the difference between Ritz-Galerkin (R-G) method and deep neural network (DNN) method in solving partial differential equations (PDEs) to better unders…
A priori generalization error for two-layer ReLU neural network through minimum norm solution
Zhi-Qin John Xu, Jiwei Zhang, Yaoyu Zhang +1
We focus on estimating \emph{a priori} generalization error of two-layer ReLU neural networks (NNs) trained by mean squared error, which only depends on initial parameters and the…
Cusps Enable Line Attractors for Neural Computation
Zhuocheng Xiao, Jiwei Zhang, Andrew T. Sornborger +1
Line attractors in neuronal networks have been suggested to be the basis of many brain functions, such as working memory, oculomotor control, head movement, locomotion, and sensory…