Zobrazeno 1 - 10
of 27 136
pro vyhledávání: '"Aerts, A"'
Autor:
Aerts, Diederik, Arguëlles, Jonito Aerts, de Bianchi, Lester Beltran. Massimiliano Sassoli, Sozzo, Sandro
Einstein's article on the EPR paradox is the most cited of his works, but not many know that it was not fully representative of the way he thought about the incompleteness of the quantum formalism. Indeed, his main worry was not Heisenberg's uncertai
Externí odkaz:
http://arxiv.org/abs/2409.15942
Autor:
Matos, João, Chen, Shan, Placino, Siena, Li, Yingya, Pardo, Juan Carlos Climent, Idan, Daphna, Tohyama, Takeshi, Restrepo, David, Nakayama, Luis F., Pascual-Leone, Jose M. M., Savova, Guergana, Aerts, Hugo, Celi, Leo A., Wong, A. Ian, Bitterman, Danielle S., Gallifant, Jack
Multimodal/vision language models (VLMs) are increasingly being deployed in healthcare settings worldwide, necessitating robust benchmarks to ensure their safety, efficacy, and fairness. Multiple-choice question and answer (QA) datasets derived from
Externí odkaz:
http://arxiv.org/abs/2410.12722
Gravito-inertial asteroseismology saw its birth from the 4-years long light curves of rotating main-sequence stars assembled by the Kepler space telescope. High-precision measurements of internal rotation and mixing are available for about 600 stars
Externí odkaz:
http://arxiv.org/abs/2410.05367
Eclipsing binaries are crucial for understanding stellar physics, allowing detailed studies of stellar masses, radii, and orbital dynamics. Recent space missions like the Transiting Exoplanet Survey Satellite (TESS) have significantly expanded the ca
Externí odkaz:
http://arxiv.org/abs/2409.20540
Autor:
Chen, Shan, Gao, Mingye, Sasse, Kuleen, Hartvigsen, Thomas, Anthony, Brian, Fan, Lizhou, Aerts, Hugo, Gallifant, Jack, Bitterman, Danielle
Background: Large language models (LLMs) are trained to follow directions, but this introduces a vulnerability to blindly comply with user requests even if they generate wrong information. In medicine, this could accelerate the generation of misinfor
Externí odkaz:
http://arxiv.org/abs/2409.20385
We study a daily urban waste collection problem arising in the municipality of Groningen, The Netherlands, where residents bring their waste to local underground waste containers organised in clusters. The municipality plans routes for waste collecti
Externí odkaz:
http://arxiv.org/abs/2409.13386
Autor:
Hagopian, Raffi, Strebel, Timothy, Bernatz, Simon, Myers, Gregory A, Offerman, Erik, Zuniga, Eric, Kim, Cy Y, Ng, Angie T, Iwaz, James A, Singh, Sunny P, Carey, Evan P, Kim, Michael J, Schaefer, R Spencer, Yu, Jeannie, Gentili, Amilcare, Aerts, Hugo JWL
Coronary artery calcium (CAC) is highly predictive of cardiovascular events. While millions of chest CT scans are performed annually in the United States, CAC is not routinely quantified from scans done for non-cardiac purposes. A deep learning algor
Externí odkaz:
http://arxiv.org/abs/2409.09968
This paper considers learning online (implicit) nonlinear model predictive control (MPC) laws using neural networks and Laguerre functions. Firstly, we parameterize the control sequence of nonlinear MPC using Laguerre functions, which typically yield
Externí odkaz:
http://arxiv.org/abs/2409.09436
We have proved in both human-based and computer-based tests that natural concepts generally `entangle' when they combine to form complex sentences, violating the rules of classical compositional semantics. In this article, we present the results of a
Externí odkaz:
http://arxiv.org/abs/2409.08868
Gaia/DR3 has provided a large sample of new g-mode pulsators, among which~11,600 are Gam Dor stars. This work present the spectroscopic parameters of these Gam Dor pulsators estimated by the GSP-spec module that analysed millions of Gaia spectra. The
Externí odkaz:
http://arxiv.org/abs/2409.03361