M. Galinier

most citedMise en abyme with artificial intelligence: how to predict the accuracy of NN, applied to hyper-parameter tuning

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math.OC2020

Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography

Tatiana A. Bubba, Mathilde Galinier, Matti Lassas +3

We propose a novel convolutional neural network (CNN), called $Ψ$ DONet, designed for learning pseudodifferential operators ( $Ψ$ DOs) in the context of linear inverse problems. Our s…