Abstract Motivated by the computational limitations of simulating interactions particles in highly-granular detectors, there exists a concerted effort to build fast and exact machine-learning-based shower simulators. This work reports progress on two important fronts. First, previously investigated Wasserstein generative adversarial network bounded information bottleneck autoencoder models are ...