Hyperparameter Optimization of Generative Adversarial Network Models for High-Energy Physics Simulations

Vincent Dumont, Xiangyang Ju, Juliane Mueller

The Generative Adversarial Network (GAN) is a powerful and flexible tool that can generate high-fidelity synthesized data by learning. It has seen many applications in simulating e…