S21-119 Augmenting High-dimensional Nonlinear Optimization with Conditional GANs Stanford researchers have developed a method to use conditional generative adversarial networks (C-GANs) for solving highly complex optimization problems, e.g., with 1050 to 10 80 dimensions. Pouya Rezazadeh Kalehbasti Michael Lepech