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by a008t 2876 days ago
Can someone please ELI5 what this does and why/where it is/can be useful?
2 comments

Don't trust any machine learning algorithm that you haven't faked yourself. You can make random noise mean anything you want.
His stated purpose was image compression (although I didn’t see evidence that it worked). If the distribution encoded by the is smaller than your image, then you can send the small set of model parameters (instead of the image) and then use the model to reconstruct the target image.