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Convolutional Sparse Representations for Imaging Inverse Problems
From shallow to deep learning for inverse imaging problems - Carola-Bibiane Schönlieb, Cambridge
Gaussian Process Convolutional Dictionary Learning
CDLNet Noise Adaptive Convolutional Dictionary Learning Network for Blind Denoising and Demosaicing
DeepM2M2CDL Deep Multi Scale Multi Modal Convolutional Dictionary Learning Network
DeepM2M2CDL Deep Multi Scale Multi Modal Convolutional Dictionary Learning Network
Fioralba Cakoni - Spectral Problems in Inverse Scattering Theory
But what is a convolution
Tensor Convolutional Dictionary Learning With CP Low Rank Activations
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Last Updated: September 27, 2026
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Spotlight video for the paper: F. G. Veshki and S. A. Vorobyov, "Efficient Approximate Online This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data ... DeepM2M2CDL Deep Multi Scale Multi Modal This talk was part of the of the online workshop on "Tomographic Reconstructions and their Startling Applications" held March 15 ... Discrete convolutions, from probability to image processing and FFTs. Video on the continuous case: ...
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