Machine Learning, Deep Learning, Molecular Dynamics, Modeling, Modelling.
more data efficient and easier to train. If we didn’t impose equivariance, the model could potentially have learned it from the data, but that would require more data, more time and more parameters. If we know this property beforehand, clearly it pays off to enforce it, preventing the model from