The problem is similar to the concept of internal covariate shift (Ioffe and Szegedy, 2015), where the distribution of each layer's inputs changes inside a neural network.
it makes sense to study this issue in a joint MRS setting rather than a typical supervised learning setting where training and test data tend to be fixed and modules being isolated.