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Emergence of Latent Binary Encoding in Deep Neural Network Classifiers
We investigate the emergence of binary encoding within the latent space of deep-neural-network classifiers.
Extrapolation to complete basis-set limit in density-functional theory by quantile random-forest models
The ultimate precision is reached with an infinitely large basis set, i. e., in the limit of a complete basis set (CBS).
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