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20132026
most citedPrinciples alone cannot guarantee ethical AI

1.8k citations

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92 papers · 1 filter

cond-mat.stat-mech2020

An algorithm for simulating Brownian increments on a sphere

Aleksandar Mijatović, Veno Mramor, Gerónimo Uribe Bravo

This paper presents a novel formula for the transition density of the Brownian motion on a sphere of any dimension and discusses an algorithm for the simulation of the increments o…

cs.CL2020★ 3 cited

The Gap on GAP: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets

Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz

Diagnostic datasets that can detect biased models are an important prerequisite for bias reduction within natural language processing. However, undesired patterns in the collected…

physics.soc-ph2020★ 57 cited

Interacting discovery processes on complex networks

Iacopo Iacopini, Gabriele Di Bona, Enrico Ubaldi +2

Innovation is the driving force of human progress. Recent urn models reproduce well the dynamics through which the discovery of a novelty may trigger further ones, in an expanding…

stat.CO2020★ 1 cited

Multilevel Delayed Acceptance MCMC with an Adaptive Error Model in PyMC3

Mikkel B. Lykkegaard, Grigorios Mingas, Robert Scheichl +2

Uncertainty Quantification through Markov Chain Monte Carlo (MCMC) can be prohibitively expensive for target probability densities with expensive likelihood functions, for instance…

cs.LG2020★ 3 cited

Improving Fairness and Privacy in Selection Problems

Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan +1

Supervised learning models have been increasingly used for making decisions about individuals in applications such as hiring, lending, and college admission. These models may inher…

math.AT2020★ 3 cited

Ample simplicial complexes

Chaim Even-Zohar, Michael Farber, Lewis Mead

Motivated by potential applications in network theory, engineering and computer science, we study -ample simplicial complexes. These complexes can be viewed as finite approximat…

cs.CL2020★ 31 cited

HateCheck: Functional Tests for Hate Speech Detection Models

Paul Röttger, Bertram Vidgen, Dong Nguyen +3

Detecting online hate is a difficult task that even state-of-the-art models struggle with. Typically, hate speech detection models are evaluated by measuring their performance on h…

q-bio.PE2020★ 31 cited

KwARG: Parsimonious reconstruction of ancestral recombination graphs with recurrent mutation

Anastasia Ignatieva, Rune B. Lyngsø, Paul A. Jenkins +1

The reconstruction of possible histories given a sample of genetic data in the presence of recombination and recurrent mutation is a challenging problem, but can provide key insigh…

astro-ph.IM2020★ 19 cited

Magritte, a modern software library for 3D radiative transfer: II. Adaptive ray-tracing, mesh construction and reduction

Frederik De Ceuster, Jan Bolte, Ward Homan +6

Radiative transfer is a notoriously difficult and computationally demanding problem. Yet, it is an indispensable ingredient in nearly all astrophysical and cosmological simulations…

physics.soc-ph2020★ 22 cited

Self-initiated behavioural change and disease resurgence on activity-driven networks

Nicolò Gozzi, Martina Scudeler, Daniela Paolotti +2

We consider a population that experienced a first wave of infections, interrupted by strong, top-down, governmental restrictions and did not develop a significant immunity to preve…

cs.PL2020★ 5 cited

Strongly-Normalizing Higher-Order Relational Queries

Wilmer Ricciotti, James Cheney

Language-integrated query is a powerful programming construct allowing database queries and ordinary program code to interoperate seamlessly and safely. Language-integrated query t…

math.CO2020★ 9 cited

A Cheeger Cut for Uniform Hypergraphs

Raffaella Mulas

The graph Cheeger constant and Cheeger inequalities are generalized to the case of hypergraphs whose edges have the same cardinality. In particular, it is shown that the second lar…

math.PR2020★ 7 cited

Simulation of the drawdown and its duration in Lévy models via stick-breaking Gaussian approximation

Jorge González Cázares, Aleksandar Mijatović

We develop a computational method for expected functionals of the drawdown and its duration in exponential Lévy models. It is based on a novel simulation algorithm for the joint la…

math.OC2020★ 3 cited

Binary Matrix Factorisation via Column Generation

Reka A. Kovacs, Oktay Gunluk, Raphael A. Hauser

Identifying discrete patterns in binary data is an important dimensionality reduction tool in machine learning and data mining. In this paper, we consider the problem of low-rank b…

cond-mat.dis-nn2020★ 119 cited

Higher-order simplicial synchronization of coupled topological signals

Reza Ghorbanchian, Juan G. Restrepo, Joaquín J. Torres +1

Simplicial complexes capture the underlying network topology and geometry of complex systems ranging from the brain to social networks. Here we show that algebraic topology is a fu…

nlin.AO2020★ 53 cited

D-dimensional oscillators in simplicial structures: odd and even dimensions display different synchronization scenarios

X. Dai, K. Kovalenko, M. Molodyk +8

From biology to social science, the functioning of a wide range of systems is the result of elementary interactions which involve more than two constituents, so that their descript…

stat.ML2020

Black-box density function estimation using recursive partitioning

Erik Bodin, Zhenwen Dai, Neill D. F. Campbell +1

We present a novel approach to Bayesian inference and general Bayesian computation that is defined through a sequential decision loop. Our method defines a recursive partitioning o…

math.CO2020★ 13 cited

Normalized Laplace Operators for Hypergraphs with Real Coefficients

Jürgen Jost, Raffaella Mulas

Chemical hypergraphs and their associated normalized Laplace operators are generalized and studied in the case where each vertex--hyperedge incidence has a real coefficient. We sys…

math.CO2020★ 25 cited

Effective resistance is more than distance: Laplacians, Simplices and the Schur complement

Karel Devriendt

This article discusses a geometric perspective on the well-known fact in graph theory that the effective resistance is a metric on the nodes of a graph. The classical proofs of thi…

cond-mat.stat-mech2020★ 25 cited

Physics-constrained Bayesian inference of state functions in classical density-functional theory

Peter Yatsyshin, Serafim Kalliadasis, Andrew B. Duncan

We develop a novel data-driven approach to the inverse problem of classical statistical mechanics: given experimental data on the collective motion of a classical many-body system,…

math.CO2020★ 5 cited

Geometry and symmetry in biochemical reaction systems

Raffaella Mulas, Rubén J. Sánchez-García, Ben D. MacArthur

Complex systems of intracellular biochemical reactions have a central role in regulating cell identities and functions. Biochemical reaction systems are typically studied using the…

nlin.AO2020★ 70 cited

Unified treatment of synchronization patterns in generalized networks with higher-order, multilayer, and temporal interactions

Yuanzhao Zhang, Vito Latora, Adilson E. Motter

When describing complex interconnected systems, one often has to go beyond the standard network description to account for generalized interactions. Here, we establish a unified fr…

astro-ph.GA2020★ 17 cited

Radio Galaxy Zoo: New Giant Radio Galaxies in the RGZ DR1catalogue

H. Tang, A. M. M. Scaife, O. I. Wong +5

In this paper, we present the identification of five previously unknown giant radio galaxies (GRGs) using Data Release 1 of the Radio Galaxy Zoo citizen science project and a selec…

physics.soc-ph2020★ 57 cited

Inhibiting failure spreading in complex networks

Franz Kaiser, Vito Latora, Dirk Witthaut

In our daily lives, we rely on the proper functioning of supply networks, from power grids to water transmission systems. A single failure in these critical infrastructures can lea…