353 citations · 1k across the 59 of their papers we have counts for
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Geometry of Deep Learning for Magnetic Resonance Fingerprinting
Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez +2
Current popular methods for Magnetic Resonance Fingerprint (MRF) recovery are bottlenecked by the heavy storage and computation requirements of a dictionary-matching (DM) step due…
FeTa: A DCA Pruning Algorithm with Generalization Error Guarantees
Konstantinos Pitas, Mike Davies, Pierre Vandergheynst
Recent DNN pruning algorithms have succeeded in reducing the number of parameters in fully connected layers, often with little or no drop in classification accuracy. However, most…
PAC-Bayesian Margin Bounds for Convolutional Neural Networks
Konstantinos Pitas, Mike Davies, Pierre Vandergheynst
Recently the generalization error of deep neural networks has been analyzed through the PAC-Bayesian framework, for the case of fully connected layers. We adapt this approach to th…