2018
Learning a Generative Model for Validity in Complex Discrete Structures
ICLR 2018poster
Deep generative models have been successfully used to learn representations for high-dimensional discrete spaces by representing discrete objects as sequences and employing powerful sequence-based deep models. Unfortunately, these sequence-based models often produce invalid sequences: sequences whic…