no code implementations • 20 Nov 2023 • Dian Xu, Shanshan Wang, Feng Gao, Wei Li, Jianmin Shen
In the field of statistical physics, machine learning has gained significant popularity and has achieved remarkable results in recent studies on phase transitions. In this paper, we apply Principal Component Analysis (PCA) and Autoencoder(AE) based on Unsupervised learning to study the various configurations of the percolation model in equilibrium phase transition.
no code implementations • 31 Dec 2021 • Jianmin Shen, Feiyi Liu, Shiyang Chen, Dian Xu, Xiangna Chen, Shengfeng Deng, Wei Li, Gabor Papp, Chunbin Yang
With the DANN, only a small fraction of input configurations (2d images) needs to be labeled, which is automatically chosen, in order to capture the critical point.
no code implementations • 21 Oct 2021 • Wei Hu, Dian Xu, Zimeng Fan, Fang Liu, Yanxiang He
Vis-TOP summarizes the characteristics of all visual Transformer models and implements a three-layer and two-level transformation structure that allows the model to be switched or changed freely without changing the hardware architecture.