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Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

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Hi, In the paper, I see there is a comparison between different models. Where can I find the corresponding code that calculates the validation reconstruction loss? Thank you!

Hi. Thank you for sharing great works. I have some question related to the memory issues. After training GON for some dataset (e.g. MNIST), latent vector (z) should be saved...