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Paper

Memorisation, convergence and generalisation in generative models

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AI summary

arXiv:2605. 21402v1 Announce Type: new Abstract: Generative neural networks learn how to produce highly realistic images from a large, but finite number of examples - or do they simply memorise their training set?