c,os (r) + w ss (r)e κMP2 c,ss (r), (11) where w os (r) and w ss (r) are machine-learned weights at every point in space. We call it MLS2, which represents a real-space, machine-learned and regularized extension of SCS MP2 . Its construction is represented by the step from orange and purple squares to the green diamond in Fig. . By leveraging our implementation of spin-resolved w os (r)e κMP2 c,os (r) and w ss (r)e κMP2 c,ss (r), Eq. 11 yields a regularized and real-space extension of SCS MP2, thus opening up new avenues for DFAs creation.