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Deep Image Prior Neural Networks for interferometric image reconstruction
We investigate Deep Image Prior neural networks for image reconstruction from sparse long-baseline interferometric data. The sky brightness distribution is parameterized as the output of an untrained U-Net-like convolutional generator, whose parameters are optimized independently for each data set by minimizing a loss...