  The sensitivity of many physics analyses can be enhanced by constructing
discriminants that preferentially select signal events. Such discriminants
become much more useful if they are uncorrelated with a set of protected
attributes. In this paper we show that a normalizing flow conditioned on the
protected attributes can be used to find a decorrelated representation for any
discriminant. As a normalizing flow is invertible the separation power of the
resulting discriminant will be unchanged at any fixed value of the protected
attributes. We demonstrate the efficacy of our approach by building supervised
jet taggers that produce almost no sculpting in the mass distribution of the
background.
