Generating realistic neurophysiological time series with denoising diffusion probabilistic models
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Denoising diffusion probabilistic models (DDPMs) have recently been shown to accurately generate complicated data such as images, audio, or time series. Experimental and clinical neuroscience also stand to benefit from this progress, as the accurate generation... ...
