Self-Supervised Learning with Lie Symmetries for Partial Differential Equations

Accurately analyzing and predicting the evolution of such systems is of paramount importance, inspiring decades of innovation in algorithms for numerical methods. However, high-accuracy solvers are often computationally expensive.