Search Results for author: Giordano De Marzo

Found 2 papers, 0 papers with code

Mapping job complexity and skills into wages

no code implementations11 Apr 2023 Sabrina Aufiero, Giordano De Marzo, Angelica Sbardella, Andrea Zaccaria

We use algorithmic and network-based tools to build and analyze the bipartite network connecting jobs with the skills they require.

The emergence of a concept in shallow neural networks

no code implementations1 Sep 2021 Elena Agliari, Francesco Alemanno, Adriano Barra, Giordano De Marzo

We consider restricted Boltzmann machine (RBMs) trained over an unstructured dataset made of blurred copies of definite but unavailable ``archetypes'' and we show that there exists a critical sample size beyond which the RBM can learn archetypes, namely the machine can successfully play as a generative model or as a classifier, according to the operational routine.

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