2018
AmbientGAN: Generative models from lossy measurements
ICLR 2018oral
Generative models provide a way to model structure in complex distributions and have been shown to be useful for many tasks of practical interest. However, current techniques for training generative models require access to fully-observed samples. In many settings, it is expensive or even impossible…