I will introduce our recent work on parameterising OT problems with elastic costs, i.e. ground costs that mix the classic squared Euclidean distance with a regularizer (e.g. L1 norm). After highlighting the properties of OT maps that follow such costs, I will present a method to compute ground truth OT maps with elastic costs and also a method to learn the parameters, adaptively, of such a regularizer.