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Bayesian optimization for sparse neural networks with trainable activation functions
In the literature on deep neural networks, there is considerable interest in developing activation functions that can enhance neural network performance.
Spatio-temporal wavelet regularization for parallel MRI reconstruction: application to functional MRI
To improve the performance of the widely used SENSE algorithm, 2D- or slice-specific regularization in the wavelet domain has been deeply investigated.
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