An interpretable unsupervised representation learning for high precision measurement in particle physics

Xing-Jian Lv, De-Xing Miao, Zi-Jun Xu +1

Unsupervised learning has been widely applied to various tasks in particle physics. However, existing models lack precise control over their learned representations, limiting physi…