GANs have been proposed as a fast and accurate way of modeling high energy jet formation[18] and modeling showers through calorimeters of high-energy physics experiments.[19][20][21][22] GANs have also been trained to accurately approximate bottlenecks in computationally expensive simulations of particle physics experiments.