E
Enrico Maiorino
Researcher at Brigham and Women's Hospital
Publications - 37
Citations - 1450
Enrico Maiorino is an academic researcher from Brigham and Women's Hospital. The author has contributed to research in topics: Multifractal system & Recurrent neural network. The author has an hindex of 13, co-authored 33 publications receiving 1149 citations. Previous affiliations of Enrico Maiorino include Northeastern University & Sapienza University of Rome.
Papers
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Journal ArticleDOI
Integrated multimode interferometers with arbitrary designs for photonic boson sampling
Andrea Crespi,Roberto Osellame,Roberta Ramponi,Daniel J. Brod,Ernesto F. Galvão,Nicolò Spagnolo,Chiara Vitelli,Chiara Vitelli,Enrico Maiorino,Paolo Mataloni,Fabio Sciarrino +10 more
TL;DR: In this article, a five-mode integrated interferometer containing three-dimensional S-bent waveguides was used to sample three single photons and the probability ratios of all events were measured.
BookDOI
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting
TL;DR: A comparative study on the problem of Short-Term Load Forecast, by using different classes of state-of-the-art Recurrent Neural Networks, with a general overview of the most important architectures and guidelines for configuring the recurrent networks to predict real-valued time series.
Journal ArticleDOI
General Rules for Bosonic Bunching in Multimode Interferometers
Nicolò Spagnolo,Chiara Vitelli,Chiara Vitelli,Linda Sansoni,Enrico Maiorino,Paolo Mataloni,Fabio Sciarrino,Daniel J. Brod,Ernesto F. Galvão,Andrea Crespi,Andrea Crespi,Roberta Ramponi,Roberta Ramponi,Roberto Osellame,Roberto Osellame +14 more
TL;DR: The authors' experiments verify two rules that govern bosonic bunching and establish a n!-factor quantum enhancement for the probability that all n bosons bunch in a single output mode, with respect to the case of distinguishable bosons.
Journal ArticleDOI
Robustness and lethality in multilayer biological molecular networks.
Xueming Liu,Enrico Maiorino,Arda Halu,Kimberly Glass,Rashmi B. Prasad,Joseph Loscalzo,Jianxi Gao,Amitabh Sharma +7 more
TL;DR: This work proposes a comprehensive framework for understanding how the interactions between genes, proteins and metabolites contribute to the determinants of robustness in a heterogeneous biological network, and designs a simulated perturbation process to characterize each gene to the overall system’s robustness.