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Generative learning for nonlinear dynamics - Nature Reviews Physics

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Generative learning for nonlinear dynamics - Nature Reviews Physics

Modern generative machine learning models are able to create realistic outputs far beyond their training data, such as photorealistic artwork, accurate protein structures or conversational text. These successes suggest that generative models learn to effectively parametrize and sample arbitrarily complex distributions.

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Generative learning for nonlinear dynamics - Nature Reviews Physics

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Generative learning for nonlinear dynamics - Nature Reviews Physics

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