Machine Learning, Deep Learning, Molecular Dynamics, Modeling, Modelling.
result as when we first apply the model, and then apply a similar transformation to the output. It is a property that a model can have for some transformations but not for others. For example if this is true for a model M when the transformations are rotations, we say that M is rotation equivariant