Zobrazeno 1 - 10
of 7 570
pro vyhledávání: '"Christodoulou, P."'
Autor:
Christodoulou, Evangelia, Reinke, Annika, Houhou, Rola, Kalinowski, Piotr, Erkan, Selen, Sudre, Carole H., Burgos, Ninon, Boutaj, Sofiène, Loizillon, Sophie, Solal, Maëlys, Rieke, Nicola, Cheplygina, Veronika, Antonelli, Michela, Mayer, Leon D., Tizabi, Minu D., Cardoso, M. Jorge, Simpson, Amber, Jäger, Paul F., Kopp-Schneider, Annette, Varoquaux, Gaël, Colliot, Olivier, Maier-Hein, Lena
Medical imaging is spearheading the AI transformation of healthcare. Performance reporting is key to determine which methods should be translated into clinical practice. Frequently, broad conclusions are simply derived from mean performance values. I
Externí odkaz:
http://arxiv.org/abs/2409.17763
Efficiently evaluating the performance of text-to-image models is difficult as it inherently requires subjective judgment and human preference, making it hard to compare different models and quantify the state of the art. Leveraging Rapidata's techno
Externí odkaz:
http://arxiv.org/abs/2409.11904
The paper explores "uniqueness bias," a behavioral bias defined as the tendency of planners and managers to see their decisions as singular. For the first time, uniqueness bias is correlated with forecasting accuracy and performance in real-world pro
Externí odkaz:
http://arxiv.org/abs/2408.07710
We study the problem of fairly allocating indivisible goods among agents which are equipped with {\em leveled} valuation functions. Such preferences, that have been studied before in economics and fair division literature, capture a simple and intuit
Externí odkaz:
http://arxiv.org/abs/2407.05891
Our work revisits the design of mechanisms via the learning-augmented framework. In this model, the algorithm is enhanced with imperfect (machine-learned) information concerning the input, usually referred to as prediction. The goal is to design algo
Externí odkaz:
http://arxiv.org/abs/2406.14165
Autor:
O'Leary, Joseph, Melatos, Andrew, Kimpson, Tom, O'Neill, Nicholas J., Meyers, Patrick M., Christodoulou, Dimitris M., Bhattacharya, Sayantan, Laycock, Silas G. T.
Many accretion-powered pulsars rotate in magnetocentrifugal disequilibrium, spinning up or down secularly over multi-year intervals. The magnetic dipole moment $\mu$ of such systems cannot be inferred uniquely from the time-averaged aperiodic X-ray f
Externí odkaz:
http://arxiv.org/abs/2406.01827
Autor:
Munoz-Sanchez, G., de Wit, S., Bonanos, A. Z., Antoniadis, K., Boutsia, K., Boumis, P., Christodoulou, E., Kalitsounaki, M., Udalski, A.
This study delves into [W60] B90, one of the most luminous and extreme Red Supergiants (RSGs) in the Large Magellanic Cloud (LMC), aiming to search for evidence of episodic mass loss. Our discovery of a bar-like nebular structure at 1 pc, reminiscent
Externí odkaz:
http://arxiv.org/abs/2405.11019
Evolutionary Algorithms and Generative Deep Learning have been two of the most powerful tools for sound generation tasks. However, they have limitations: Evolutionary Algorithms require complicated designs, posing challenges in control and achieving
Externí odkaz:
http://arxiv.org/abs/2404.14063
Experimental proposals for testing quantum gravity-induced entanglement of masses (QGEM) typically involve two interacting masses which are each in a spatial superposition state. Here, we propose a QGEM experiment with two particles which are each in
Externí odkaz:
http://arxiv.org/abs/2403.02062
Autor:
de Wit, S., Bonanos, A. Z., Antoniadis, K., Zapartas, E., Ruiz, A., Britavskiy, N., Christodoulou, E., De, K., Maravelias, G., Munoz-Sanchez, G., Tsopela, A.
Publikováno v:
A&A 689, A46 (2024)
Mass loss during the red supergiant (RSG) phase plays a crucial role in the evolution of an intermediate massive star, however, the underlying mechanism remains unknown. We aim to increase the sample of well-characterized RSGs at subsolar metallicity
Externí odkaz:
http://arxiv.org/abs/2402.12442