155 citations · 987 across the 104 of their papers we have counts for
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cs.CV2021
An Interpretive Constrained Linear Model for ResNet and MgNet
Juncai He, Jinchao Xu, Lian Zhang +1
We propose a constrained linear data-feature-mapping model as an interpretable mathematical model for image classification using a convolutional neural network (CNN). From this vie…
cs.CV2020★ 2 cited
Training Sparse Neural Networks using Compressed Sensing
Jonathan W. Siegel, Jianhong Chen, Pengchuan Zhang +1
Pruning the weights of neural networks is an effective and widely-used technique for reducing model size and inference complexity. We develop and test a novel method based on compr…
cs.CV2019★ 126 cited
MgNet: A Unified Framework of Multigrid and Convolutional Neural Network
Juncai He, Jinchao Xu
We develop a unified model, known as MgNet, that simultaneously recovers some convolutional neural networks (CNN) for image classification and multigrid (MG) methods for solving di…