AIBullishOpenAI News · Mar 216/104
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Implicit generation and generalization methods for energy-based models
Researchers have achieved progress in training energy-based models (EBMs) with improved stability and scalability, resulting in better sample quality and generalization. The models can generate samples competitive with GANs while maintaining mode coverage guarantees of likelihood-based models through iterative refinement.