Machine Learning, Deep Learning, Molecular Dynamics, Modeling, Modelling.
model to be equivariant with respect to some transformation imposes some constraints on it, it decreases the freedom in the model, or the number of parameters. So as long as the equivariances we impose are also satisfied by the true solution we are trying to approximate with the model, it makes it