4 papers
"Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach
Lingyu Gu, Yongqi Du, Yuan Zhang +4
Modern deep neural networks (DNNs) are extremely powerful; however, this comes at the price of increased depth and having more parameters per layer, making their training and infer…
On the Equivalence between Implicit and Explicit Neural Networks: A High-dimensional Viewpoint
Zenan Ling, Zhenyu Liao, Robert C. Qiu
Implicit neural networks have demonstrated remarkable success in various tasks. However, there is a lack of theoretical analysis of the connections and differences between implicit…
Study on temperature coefficient of CdTe detector used for X-rays detection
Si-Ming Guo, Jin-Jie Wu, Jian Zhang +6
The temperature of the working environment is a key factor in determining the properties of semiconductor detectors, and it affects the absolute accuracy and stability of the stand…
Random matrices meet machine learning: a large dimensional analysis of LS-SVM
Zhenyu Liao, Romain Couillet
This article proposes a performance analysis of kernel least squares support vector machines (LS-SVMs) based on a random matrix approach, in the regime where both the dimension of…