Transfer learning of phase transitions in percolation and directed percolation

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.

Transfer Learning

Machine learning Hadron Spectral Functions in Lattice QCD

no code implementations • 1 Dec 2021 • Shi-Yang Chen, Heng-Tong Ding, Fei-Yi Liu, Gabor Papp, Chun-Bin Yang

From the mock data test we find that the sVAE in most cases is comparable to the maximum entropy method in the quality of reconstructing spectral functions and even outperforms the MEM in the case where the spectral function has sharp peaks with insufficient number of data points in the correlator.

BIG-bench Machine Learning