Thinking ahead, the idea of SHMs could be realized not with DNNs but other DL approaches. Most promising are GANs or variants thereof, where the relevant SHM is constructed by the GAN from a random one successively with computationally costs eventually reduced compared to the present SHM-DL sampling approach. Moreover, the GAN approach would directly predict an SHM which describes the system's coupling to light.