no code implementations • 30 Nov 2022 • Aarjav Jain, Challenger Mishra, Pietro Liò
Neural networks with PDEs embedded in their loss functions (physics-informed neural networks) are employed as a function approximators to find solutions to the Ricci flow (a curvature based evolution) of Riemannian metrics.
