Learning Lattice Quantum Field Theories with Equivariant Continuous Flows

1 code implementation • 1 Jul 2022 • Mathis Gerdes, Pim de Haan, Corrado Rainone, Roberto Bondesan, Miranda C. N. Cheng

We propose a novel machine learning method for sampling from the high-dimensional probability distributions of Lattice Field Theories, which is based on a single neural ODE layer and incorporates the full symmetries of the problem.

BIG-bench Machine Learning