Implicit generation and generalization methods for energy-based models

OpenAI · 7 years ago · 51

Researchers improved the training stability and scalability of energy-based models to achieve better sample quality and generalization than existing approaches. The method uses iterative refinement during generation and produces samples competitive with GANs while maintaining the mode coverage guarantees of likelihood-based models. This work may encourage further development of energy-based models as an alternative generative modeling approach.