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Generative Adversarial Networks

techniqueactivegenerative-adversarial-networks-56260f09·1 events·first seen 28d ago

Aliases: Generative Adversarial Networks

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4Openai Blog·28d ago·source ↗

Implicit Generation and Generalization Methods for Energy-Based Models

OpenAI published research on stable and scalable training of energy-based models (EBMs), achieving sample quality competitive with GANs at low temperatures while retaining mode coverage guarantees of likelihood-based models. The approach uses iterative compute during generation to continually refine outputs. This work positions EBMs as a promising alternative generative modeling paradigm bridging GANs and likelihood-based models.

Frontier Model Releases Energy-Based Models OpenAI Generative Adversarial Networks