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20142026
most citedObservation of chiral edge states with neutral fermions in synthetic Hall ribbons

753 citations · 3k across the 55 of their papers we have counts for

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Showing 2016Show all

6 papers · 1 filter

cond-mat.quant-gas2016★ 297 cited

Synthetic dimensions and spin-orbit coupling with an optical clock transition

L. F. Livi, G. Cappellini, M. Diem +8

We demonstrate a novel way of synthesizing spin-orbit interactions in ultracold quantum gases, based on a single-photon optical clock transition coupling two long-lived electronic…

cs.NE2016★ 32 cited

Multiplex visibility graphs to investigate recurrent neural networks dynamics

Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi +1

A recurrent neural network (RNN) is a universal approximator of dynamical systems, whose performance often depends on sensitive hyperparameters. Tuning of such hyperparameters may…

physics.soc-ph2016★ 12 cited

Multifractal cross-correlation effects in two-variable time series of complex network vertex observables

Paweł Oświȩcimka, Lorenzo Livi, Stanisław Drożdż

We investigate the scaling of the cross-correlations calculated for two-variable time series containing vertex properties in the context of complex networks. Time series of such ob…

cs.LG2016★ 4 cited

One-class classifiers based on entropic spanning graphs

Lorenzo Livi, Cesare Alippi

One-class classifiers offer valuable tools to assess the presence of outliers in data. In this paper, we propose a design methodology for one-class classifiers based on entropic sp…

physics.data-an2016★ 67 cited

Determination of the edge of criticality in echo state networks through Fisher information maximization

Lorenzo Livi, Filippo Maria Bianchi, Cesare Alippi

It is a widely accepted fact that the computational capability of recurrent neural networks is maximized on the so-called "edge of criticality". Once the network operates in this c…

physics.data-an2016★ 101 cited

Investigating echo state networks dynamics by means of recurrence analysis

Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi

In this paper, we elaborate over the well-known interpretability issue in echo state networks. The idea is to investigate the dynamics of reservoir neurons with time-series analysi…