28 citations · 34 across the 4 of their papers we have counts for
4 papers
A 137.5 TOPS/W SRAM Compute-in-Memory Macro with 9-b Memory Cell-Embedded ADCs and Signal Margin Enhancement Techniques for AI Edge Applications
Xiaomeng Wang, Fengshi Tian, Xizi Chen +7
In this paper, we propose a high-precision SRAM-based CIM macro that can perform 4x4-bit MAC operations and yield 9-bit signed output. The inherent discharge branches of SRAM cells…
How Does GAN-based Semi-supervised Learning Work?
Xuejiao Liu, Xueshuang Xiang
Generative adversarial networks (GANs) have been widely used and have achieved competitive results in semi-supervised learning. This paper theoretically analyzes how GAN-based semi…
Towards GANs' Approximation Ability
Xuejiao Liu, Yao Xu, Xueshuang Xiang
Generative adversarial networks (GANs) have attracted intense interest in the field of generative models. However, few investigations focusing either on the theoretical analysis or…
A local approximation of fundamental measure theory incorporated into three dimensional Poisson-Nernst-Planck equations to account for hard sphere repulsion among ions
Yu Qiao, Benzhuo Lu, Minxin Chen
The hard sphere repulsion among ions can be considered in the Poisson-Nernst-Planck (PNP) equations by combining the fundamental measure theory (FMT). To reduce the nonlocal comput…