Riemannian score-based generative modelling

Riemannian score-based generative modelling

Score-based generative models (SGMs) are a powerful class of generative models that exhibit remarkable empirical performance.Score-based generative modelling (SGM) consists of a noising'' stage, whereby a diffusion is used to gradually add Gaussian noise to data, and a generative model, wh...

書誌詳細
主要な著者:	De Bortoli, V, Mathieu, E, Hutchinson, M, Thornton, J, Teh, YW, Doucet, A
フォーマット:	Conference item
言語:	English
出版事項:	Curran Associates 2023

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