… on a symmetric domain often are also equivariant, which means that they … equivariant with
respect to a group of permutations. Methods for exploiting this equivariance in the numerical …

… that f(T(x)) and T (f(x)) contain completely different numerical values, breaking equivariance.
… achieving better performance or simply exploiting unknown biases in data or in the network. …

… problems on symmetric domains often are equivariant, which means that they commute with
… are also equivariant. A method for exploiting this equivariance in the numerical solution of …

… of symmetry enters if the the linear operator L is equivariant with respect to a nite group ? of
… equivariance in detail below. In order to exploit the equivariance property of L for numerical …

… and other equivariances into the CNP model family. Exploiting equivariances intrinsic to a
… numbers in a computer are represented up to numerical precision, so with R we denote the …

… In doing so, we simultaneously analyse possibilities for numerically exploiting equivariance
structure. To facilitate the reading, we leave the technical details and proofs to the next …

… equivariant networks in classification or regression settings with partially incorrect symmetry.
We also analyze the potentially harmful effects of extrinsic equivariance. … used for exploiting …

… The equivariance property may be exploited to devise better numerical algorithms. The key
is to … In [1], we survey the application of the GFT to numerical linear algebra, emphasizing the …

… This choice preserves the integer-equivariance property of … in 14, which is possible through
exploiting the fact that urn:x-wiley:… be numerically evaluated in the Section Numerical Results. …

… (c) For the EMLP experiment we consider solving the equivariance constraints to find the
equivariant linear layers of a graph neural network with 5 nodes. To solve this problem, we …