Showing 2023Show all

208 papers · 1 filter

cs.HC2023★ 7 cited

Decoupling Judgment and Decision Making: A Tale of Two Tails

Başak Oral, Pierre Dragicevic, Alexandru Telea +1

Is it true that if citizens understand hurricane probabilities, they will make more rational decisions for evacuation? Finding answers to such questions is not straightforward in t…

physics.bio-ph2023★ 1 cited

Enhancing the Study of Quantal Exocytotic Events: Combining Diamond Multi-Electrode Arrays with Amperometric PEak Analysis (APE) an Automated Analysis Code

Giulia Tomagra, Alice Re, Veronica Varzi +8

MicroGraphited-Diamond-Multi Electrode Arrays (μG-D-MEAs) can be successfully used to reveal, in real time, quantal exocytotic events occurring from many individual neurosecretory…

physics.soc-ph2023★ 16 cited

Reducing societal impacts of SARS-CoV-2 interventions through subnational implementation

Mark M. Dekker, Luc E. Coffeng, Frank P. Pijpers +2

To curb the initial spread of SARS-CoV-2, many countries relied on nation-wide implementation of non-pharmaceutical intervention measures, resulting in substantial socio-economic i…

physics.soc-ph2023★ 4 cited

Temporal origin of nestedness in interaction networks

Phillip P. A. Staniczenko, Debabrata Panja

Nestedness is a common property of communication, finance, trade, and ecological networks. In networks with high levels of nestedness, the link positions of low-degree nodes (those…

cs.LG2023★ 4 cited

Privacy Constrained Fairness Estimation for Decision Trees

Florian van der Steen, Fré Vink, Heysem Kaya

The protection of sensitive data becomes more vital, as data increases in value and potency. Furthermore, the pressure increases from regulators and society on model developers to…

cs.CV2023★ 14 cited

The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography

Kaiyuan Yang, Fabio Musio, Yihui Ma +112

The Circle of Willis (CoW) is an important network of arteries connecting major circulations of the brain. Its vascular architecture is believed to influence the risk, severity, an…

gr-qc2023★ 14 cited

Linear vs. nonlinear modeling of black hole ringdowns

Yi Qiu, Xisco Jiménez Forteza, Pierre Mourier

The ringdown (RD) phase of gravitational waves is of prime interest for testing general relativity (GR). The modelling of the linear quasi-normal modes (QNMs) within the Kerr spect…

gr-qc2023★ 6 cited

Likelihood for a Network of Gravitational-Wave Detectors with Correlated Noise

Francesco Cireddu, Milan Wils, Isaac C. F. Wong +3

The Einstein Telescope faces a critical data analysis challenge with correlated noise, often overlooked in current parameter estimation analyses. We address this issue by presentin…

q-fin.RM2023★ 1 cited

Principal Component Copulas for Capital Modelling and Systemic Risk

K. B. Gubbels, J. Y. Ypma, C. W. Oosterlee

We introduce a class of copulas that we call Principal Component Copulas (PCCs). This class combines the strong points of copula-based techniques with principal component analysis…

hep-ph2023★ 43 cited

Gravitational waves from supercooled phase transitions: dimensional transmutation meets dimensional reduction

Maciej Kierkla, Bogumila Swiezewska, Tuomas V. I. Tenkanen +1

Models with radiative symmetry breaking typically feature strongly supercooled first-order phase transitions, which result in an observable stochastic gravitational wave background…

cs.HC2023★ 2 cited

General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study

Qixiang Fang, Zhihan Zhou, Francesco Barbieri +6

Learning general-purpose user representations based on user behavioral logs is an increasingly popular user modeling approach. It benefits from easily available, privacy-friendly y…

cs.DC2023★ 4 cited

Trusted Execution Environment for Decentralized Process Mining

Valerio Goretti, Davide Basile, Luca Barbaro +1

Inter-organizational business processes involve multiple independent organizations collaborating to achieve mutual interests. Process mining techniques have the potential to allow…

quant-ph2023★ 85 cited

Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions

Yuri Alexeev, Maximilian Amsler, Paul Baity +124

Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…

cond-mat.mes-hall2023

Position operators and interband matrix elements of scalar and vector potentials in the 8-band Kane model

I. A. Ado, M. Titov, Rembert A. Duine +1

We diagonalize the 8-band Kane Hamiltonian with a proper inclusion of the interband matrix elements of the scalar and vector potentials. This leads, among other results, to a modif…

cond-mat.mes-hall2023

Detection of Geometric Phases in Spin Waves using Nitrogen-Vacancy Centers

Tomas T. Osterholt, Pieter M. Gunnink, Rembert A. Duine

Due to their robustness, the implementation of geometric phases provides a reliable and controllable way to manipulate the phase of a spin wave, thereby paving the way towards func…

cs.HC2023★ 22 cited

"It doesn't tell me anything about how my data is used'': User Perceptions of Data Collection Purposes

Lin Kyi, Abraham Mhaidli, Cristiana Santos +2

Data collection purposes and their descriptions are presented on almost all privacy notices under the GDPR, yet there is a lack of research focusing on how effective they are at in…

math.LO2023★ 2 cited

Axiomatizing modal inclusion logic and its variants

Aleksi Anttila, Matilda Häggblom, Fan Yang

We provide a complete axiomatization of modal inclusion logic - team-based modal logic extended with inclusion atoms. We review and refine an expressive completeness and normal for…

stat.ME2023★ 4 cited

Risk-based decision making: estimands for sequential prediction under interventions

Kim Luijken, Paweł Morzywołek, Wouter van Amsterdam +14

Prediction models are used amongst others to inform medical decisions on interventions. Typically, individuals with high risks of adverse outcomes are advised to undergo an interve…

math.OC2023★ 5 cited

A hybrid local search algorithm for the Continuous Energy-Constrained Scheduling Problem

Roel Brouwer, Marjan van den Akker, Han Hoogeveen

We consider the Continuous Energy-Constrained Scheduling Problem (CECSP). A set of jobs has to be processed on a continuous, shared resource. A schedule for a job consists of a sta…

hep-ph2023★ 14 cited

Isolating perturbative QCD splittings in heavy-ion collisions

Leticia Cunqueiro, Daniel Pablos, Alba Soto-Ontoso +3

We define a new strategy to scan jet substructure in heavy-ion collisions. The scope is multifold: (i) test the dominance of vacuum jet dynamics at early times, (ii) capture the tr…

cs.LG2023

AGNES: Abstraction-guided Framework for Deep Neural Networks Security

Akshay Dhonthi, Marcello Eiermann, Ernst Moritz Hahn +1

Deep Neural Networks (DNNs) are becoming widespread, particularly in safety-critical areas. One prominent application is image recognition in autonomous driving, where the correct…

math.NT2023★ 1 cited

Local isomorphism classes of fractional ideals of orders in étale algebras

Stefano Marseglia

We study the local isomorphism classes, also known as genera or weak equivalence classes, of fractional ideals of orders in étale algebras. We provide a classification in terms of…

cond-mat.soft2023★ 38 cited

Roadmap on machine learning glassy dynamics

Gerhard Jung, Rinske M. Alkemade, Victor Bapst +10

Unraveling the connections between microscopic structure, emergent physical properties, and slow dynamics has long been a challenge when studying the glass transition. The absence…

nucl-ex2023★ 20 cited

Emergence of long-range angular correlations in low-multiplicity proton-proton collisions

ALICE Collaboration

This Letter presents the measurement of near-side associated per-trigger yields, denoted ridge yields, from the analysis of angular correlations of charged hadrons in proton-proton…