output
19922026
most citedCatastrophic cascade of failures in interdependent networks

4.5k citations

Showing 2019Show all

157 papers · 1 filter

cs.DS2019

Graph Realizations: Maximum and Minimum Degree in Vertex Neighborhoods

Amotz Bar-Noy, Keerti Choudhary, David Peleg +1

The classical problem of degree sequence realizability asks whether or not a given sequence of positive integers is equal to the degree sequence of some -vertex undirected s…

quant-ph2019★ 302 cited

Geometric phase from Aharonov-Bohm to Pancharatnam-Berry and beyond

Eliahu Cohen, Hugo Larocque, Frederic Bouchard +3

Whenever a quantum system undergoes a cycle governed by a slow change of parameters, it acquires a phase factor: the geometric phase. Its most common formulations are known as the…

physics.soc-ph2019★ 10 cited

Dependency-based targeted attacks in interdependent networks

Dong Zhou, Amir Bashan

Modern large network systems normally work in cooperation and incorporate dependencies between their components for purposes of efficiency and regulation. Such dependencies may bec…

physics.app-ph2019★ 40 cited

Pitfalls and prospects of optical spectroscopy to characterize perovskite-transport layer interfaces

Eline M. Hutter, Thomas Kirchartz, Bruno Ehrler +2

Perovskite photovoltaics has witnessed an unprecedented increase in power conversion efficiency over the last decade. The choice of transport layers, through which photo-generated…

math.CV2019★ 9 cited

Extremal quasiconformality vs rational approximation

Samuel L. Krushkal

We show that on most of the hyperbolic simply connected domains the weighted bounded rational approximation in a natural sup norm is possible only for a very sparse set of holomorp…

physics.soc-ph2019★ 12 cited

Spreading of localized attacks on spatial multiplex networks with a community structure

Dana Vaknin, Bnaya Gross, Sergey V. Buldyrev +1

We study the effect of localized attacks on a multiplex spatial network, where each layer is a network of communities. The system is considered functional when the nodes belong to…

cs.LG2019★ 11 cited

Stealing Knowledge from Protected Deep Neural Networks Using Composite Unlabeled Data

Itay Mosafi, Eli David, Nathan S. Netanyahu

As state-of-the-art deep neural networks are deployed at the core of more advanced Al-based products and services, the incentive for copying them (i.e., their intellectual properti…

cs.CV2019★ 6 cited

DeepEthnic: Multi-Label Ethnic Classification from Face Images

Katia Huri, Eli David, Nathan S. Netanyahu

Ethnic group classification is a well-researched problem, which has been pursued mainly during the past two decades via traditional approaches of image processing and machine learn…

physics.soc-ph2019★ 3 cited

Optimal shattering of complex networks

Nicole Balashov, Reuven Cohen, Avieli Haber +2

We consider optimal attacks or immunization schemes on different models of random graphs. We derive bounds for the minimum number of nodes needed to be removed from a network such…

cs.CV2019★ 9 cited

A Novel Hybrid Scheme Using Genetic Algorithms and Deep Learning for the Reconstruction of Portuguese Tile Panels

Daniel Rika, Dror Sholomon, Eli David +1

This paper presents a novel scheme, based on a unique combination of genetic algorithms (GAs) and deep learning (DL), for the automatic reconstruction of Portuguese tile panels, a…

cs.CV2019★ 26 cited

Handwriting-Based Gender Classification Using End-to-End Deep Neural Networks

Evyatar Illouz, Eli David, Nathan S. Netanyahu

Handwriting-based gender classification is a well-researched problem that has been approached mainly by traditional machine learning techniques. In this paper, we propose a novel d…

quant-ph2019★ 3 cited

Hypercubic cluster states in the phase modulated quantum optical frequency comb

Xuan Zhu, Chun-Hung Chang, Carlos González-Arciniegas +3

We propose and fully analyze the simplest technique to date to generate light-based universal quantum computing resources, namely 2D, 3D and, in general, n-hypercubic cluster state…

quant-ph2019★ 7 cited

Quantization of the mean decay time for non-Hermitian quantum systems

Felix Thiel, David A. Kessler, Eli Barkai

We show that the mean time, which a quantum particle needs to escape from a system to the environment, is quantized and independent from most dynamical details of the system. In pa…

cond-mat.stat-mech2019★ 28 cited

Infinite ergodic theory meets Boltzmann statistics

Erez Aghion, David A. Kessler, Eli Barkai

We investigate the overdamped stochastic dynamics of a particle in an asymptotically flat external potential field, in contact with a thermal bath. For an infinite system size, the…

math.PR2019★ 2 cited

Sharp threshold for two-dimensional majority dynamics percolation

Caio Alves, Rangel Baldasso

In this work we consider the two-dimensional percolation model arising from the majority dynamics process at a given time . We show the emergence of a sharp thres…

math.LO2019★ 6 cited

Sigma-Prikry forcing I: The Axioms

Alejandro Poveda, Assaf Rinot, Dima Sinapova

We introduce a class of notions of forcing which we call -Prikry, and show that many of the known Prikry-type notions of forcing that centers around singular cardinals of counta…

math.RA2019★ 6 cited

The complexes with property of uniform ellipticity

Ilya Ivanov-Pogodaev, Alexey Kanel-Belov

This paper is devoted to construction of finitely presented infinite nil semigroup with identity . This construction answers to the problem of Lev Shevrin and Mark Sapir. Th…

cond-mat.supr-con2019★ 147 cited

Superconductivity in dilute SrTiO: a review

Maria N. Gastiasoro, Jonathan Ruhman, Rafael M. Fernandes

Doped SrTiO, one of the most dilute bulk systems to display superconductivity, is perhaps the first example of an unconventional superconductor, as it does not fit into the sta…

math.PR2019★ 4 cited

Large deviations for interacting diffusions with path-dependent McKean-Vlasov limit

Rangel Baldasso, Alan Pereira, Guilherme Reis

We consider a mean-field system of path-dependent stochastic interacting diffusions in random media over a finite time window. The interaction term is given as a function of the em…

cs.CV2019★ 6 cited

Supervised and Unsupervised End-to-End Deep Learning for Gene Ontology Classification of Neural In Situ Hybridization Images

Ido Cohen, Eli David, Nathan S. Netanyahu

In recent years, large datasets of high-resolution mammalian neural images have become available, which has prompted active research on the analysis of gene expression data. Tradit…

cs.LG2019★ 2 cited

DeepMimic: Mentor-Student Unlabeled Data Based Training

Itay Mosafi, Eli David, Nathan S. Netanyahu

In this paper, we present a deep neural network (DNN) training approach called the "DeepMimic" training method. Enormous amounts of data are available nowadays for training usage.…

eess.IV2019★ 4 cited

Ground Truth Simulation for Deep Learning Classification of Mid-Resolution Venus Images Via Unmixing of High-Resolution Hyperspectral Fenix Data

Ido Faran, Nathan S. Netanyahu, Eli David +4

Training a deep neural network for classification constitutes a major problem in remote sensing due to the lack of adequate field data. Acquiring high-resolution ground truth (GT)…

q-bio.MN2019★ 84 cited

Biological Regulatory Networks are Minimally Frustrated

Shubham Tripathi, David A. Kessler, Herbert Levine

Characterization of the differences between biological and random networks can reveal the design principles that enable the robust realization of crucial biological functions inclu…

nlin.CD2019★ 12 cited

Resilience of networks of multi-stable chaotic systems to targetted attacks

Chandrakala Meena, Pranay Deep Rungta, Sudeshna Sinha

We investigate the collective dynamics of chaotic multi-stable Duffing oscillators connected in different network topologies, ranging from star and ring networks, to scale-free net…