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20202026
most citedOn the training of sparse and dense deep neural networks: less parameters, same performance

13 citations · 35 across the 16 of their papers we have counts for

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physics.data-an2024

A short introduction to Neural Networks and their application to Earth and Materials Science Science

Duccio Fanelli, Luca Bindi, Lorenzo Chicchi +3

Neural networks are gaining widespread relevance for their versatility, holding the promise to yield a significant methodological shift in different domain of applied research. Her…