Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras from First Principles. - Roy T. Forestano; Konstantin T. Matchev; Katia Matcheva; Alexander Roman; Eyup Unlu; Sarunas Verner (CoRR, 2023)

Discovering Sparse Representations of Lie Groups with Machine Learning. - Roy T. Forestano; Konstantin T. Matchev; Katia Matcheva; Alexander Roman; Eyup B. Unlu; Sarunas Verner (CoRR, 2023)

Accelerated Discovery of Machine-Learned Symmetries: Deriving the Exceptional Lie Groups G2, F4 and E6. - Roy T. Forestano; Konstantin T. Matchev; Katia Matcheva; Alexander Roman; Eyup B. Unlu; Sarunas Verner (CoRR, 2023)

Identifying the Group-Theoretic Structure of Machine-Learned Symmetries. - Roy T. Forestano; Konstantin T. Matchev; Katia Matcheva; Alexander Roman; Eyup B. Unlu; Sarunas Verner (CoRR, 2023)

Seeking Truth and Beauty in Flavor Physics with Machine Learning. - Konstantin T. Matchev; Katia Matcheva; Pierre Ramond; Sarunas Verner (CoRR, 2023)

Exploring the Truth and Beauty of Theory Landscapes with Machine Learning. - Konstantin T. Matchev; Katia Matcheva; Pierre Ramond; Sarunas Verner (CoRR, 2024)