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Found 3 papers, 3 papers with code
PANNA 2.0: Efficient neural network interatomic potentials and new architectures
We present the latest release of PANNA 2. 0 (Properties from Artificial Neural Network Architectures), a code for the generation of neural network interatomic potentials based on local atomic descriptors and multilayer perceptrons.
Sifting out the features by pruning: Are convolutional networks the winning lottery ticket of fully connected ones?
Our results show that the winning lottery tickets of FCNs display the key features of CNNs.
An analytic theory of shallow networks dynamics for hinge loss classification
Neural networks have been shown to perform incredibly well in classification tasks over structured high-dimensional datasets.
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