2024
Training Implicit Generative Models via an Invariant Statistical Loss
AISTATS 2024poster
Implicit generative models have the capability to learn arbitrary complex data distributions. On the downside, training requires telling apart real data from artificially-generated ones using adversarial discriminators, leading to unstable training and mode-dropping issues. As reported by Zahee et a…