Article

Generating realistic neurophysiological time series with denoising diffusion probabilistic models

2023-08-24

Abstract excerpt

In recent years, deep generative models have had a profound impact in engineering and sciences, revolutionizing domains such as image and audio generation, as well as advancing our ability to model scientific data. In particular, Denoising Diffusion Probabilistic Models (DDPMs) have been shown to accurately model time series as complex high-dimensional probability distributions. Experimental and clinical neuroscie...

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Literature Corpus work: a128ea87-53e3-5ff9-977f-e958e7c848de
DOI: 10.1101/2023.08.23.554148

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