We prove inverse theorems for the size of sumsets and the
norms of convolutions in the discretized setting, extending to arbitrary dimension an
earlier result of ours. These results have applications to the dimensions of dynamical
self-similar sets and measures, and to the higher-dimensional fractal uncertainty
principle. The proofs are based on a structure theorem for the entropy of convolution
powers due to M. Hochman.