An improved neural network infers spatially adaptive sparsity level maps for convolutional dictionaries, enabling filter-permutation invariance and dictionary changes at inference while showing reduced degradation on out-of-distribution low-field MRI data.
Trun- cated back-propagation for bilevel optimization
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Learning spatially adaptive sparsity level maps for arbitrary convolutional dictionaries
An improved neural network infers spatially adaptive sparsity level maps for convolutional dictionaries, enabling filter-permutation invariance and dictionary changes at inference while showing reduced degradation on out-of-distribution low-field MRI data.