output
20022026
most citedGW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral

9.8k citations

Showing 2024Show all

18 papers · 1 filter

cs.CR20244 cited

Toward an Insider Threat Education Platform: A Theoretical Literature Review

Haywood Gelman, John D. Hastings, David Kenley +1

Insider threats (InTs) within organizations are small in number but have a disproportionate ability to damage systems, information, and infrastructure. Existing InT research studie…

hep-ph202414 cited

Parametrization of GPDs from t-channel string exchange in AdS spaces

Kiminad A. Mamo, Ismail Zahed

We introduce a string-based parametrization for nucleon quark and gluon generalized parton distributions (GPDs) that is valid for all skewness. Our approach leverages conformal mom…

cs.SE20243 cited

Developer Perspectives on Licensing and Copyright Issues Arising from Generative AI for Software Development

Trevor Stalnaker, Nathan Wintersgill, Oscar Chaparro +4

Despite the utility that Generative AI (GenAI) tools provide for tasks such as writing code, the use of these tools raises important legal questions and potential risks, particular…

quant-ph20242 cited

Quantum implementation of non-unitary operations with biorthogonal representations

Efstratios Koukoutsis, Panagiotis Papagiannis, Kyriakos Hizanidis +5

Motivated by the contemporary advances in quantum implementation of non-unitary operations, we propose a new dilation method based on the biorthogonal representation of the non-uni…

cond-mat.mtrl-sci20241 cited

Epitaxial aluminum layer on antimonide heterostructures for exploring Josephson junction effects

W. Pan, K. R. Sapkota, P. Lu +13

In this article, we present results of our recent work of epitaxially-grown aluminum (epi-Al) on antimonide heterostructures, where the epi-Al thin film is grown at either room tem…

cs.CV20242 cited

Content-aware Tile Generation using Exterior Boundary Inpainting

Sam Sartor, Pieter Peers

We present a novel and flexible learning-based method for generating tileable image sets. Our method goes beyond simple self-tiling, supporting sets of mutually tileable images tha…