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While the reconstruction of classic monolayer networks is a widely addressed problem, accurate reconstruction of multiplex networks is still an open challenge. Here the authors propose a statistical approach that allow to achieve optimal reconstruction of multiplex networks from partial observations and knowledge of the aggregated network.