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Spectrum of non-Hermitian deep-Hebbian neural networks
Neural networks with recurrent asymmetric couplings are important to understand how episodic memories are encoded in the brain.
The impact of data volume on performance of deep learning based building rooftop extraction using very high spatial resolution aerial images
Building rooftop data are of importance in several urban applications and in natural disaster management.
Relationship between manifold smoothness and adversarial vulnerability in deep learning with local errors
Here, we establish a fundamental relationship between geometry of hidden representations (manifold perspective) and the generalization capability of the deep networks.
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