Exact SO(3)-Equivariant Isotropic Kernels for Rotation-Robust Neural Dynamics

Neural surrogates for vector-valued partial differential equations can fit training data yet change their predictions when the same physical state is expressed in a rotated coordinate frame. We study this failure on three-dimensional Navier--Stokes dynamics observed at irregularly placed points.