Zobrazeno 1 - 10
of 18 475
pro vyhledávání: '"Antoniou, P."'
Autor:
Lehmer, Bret D., Monson, Erik B., Eufrasio, Rafael T., Amiri, Amirnezam, Doore, Keith, Basu-Zych, Antara, Garofali, Kristen, Oskinova, Lidia, Andrews, Jeff J., Antoniou, Vallia, Geda, Robel, Greene, Jenny E., Kovlakas, Konstantinos, Lazzarini, Margaret, Richardson, Chris T.
We present a new empirical framework modeling the metallicity and star-formation history (SFH) dependence of X-ray luminous ($L > 10^{36}$ ergs s$^{-1}$) point-source population luminosity functions (XLFs) in normal galaxies. We expect the X-ray poin
Externí odkaz:
http://arxiv.org/abs/2410.19901
Large Language Models (LLMs) have gained prominence in the AI landscape due to their exceptional performance. Thus, it is essential to gain a better understanding of their capabilities and limitations, among others in terms of nonmonotonic reasoning.
Externí odkaz:
http://arxiv.org/abs/2410.12509
Many online services running in datacenters are implemented using a microservice software architecture characterized by strict latency requirements. Consequently, this popular software paradigm is increasingly used for the performance evaluation of s
Externí odkaz:
http://arxiv.org/abs/2410.11554
As the complexities of urban environments continue to grow, the modelling of transportation systems become increasingly challenging. This paper explores the application of advanced Graph Neural Network (GNN) architectures as surrogate models for stra
Externí odkaz:
http://arxiv.org/abs/2408.07726
Autor:
Moon, Hannah, Wik, Daniel R., Antoniou, V., Eracleous, M., Hornschemeier, Ann E., Lazzarini, Margaret, Lehmer, Bret D., Vulic, Neven, Williams, Benjamin F., Maccarone, T. J., Pottschmidt, K., Ptak, Andrew, Yukita, Mihoko, Zezas, Andreas
Publikováno v:
ApJ 970, 167, 2024
Using hard (E>10 keV) X-ray observations with NuSTAR, we are able to differentiate between accretion states, and thus compact object types, of neutron stars and black holes in X-ray binaries (XRBs) in M31, our nearest Milky Way-type neighbor. Using t
Externí odkaz:
http://arxiv.org/abs/2408.02828
Autor:
Antoniou, Georgios
Publikováno v:
Phys. Rev. D 110, 044029 (2024)
Alternative theories of gravity may be put to the test by making use of gravitational wave observations. Scalar-tensor theories provide a relatively simple framework that allows for compact object solutions with characteristics different from those o
Externí odkaz:
http://arxiv.org/abs/2406.01508
Autor:
Ericsson, Linus, Espinosa, Miguel, Yang, Chenhongyi, Antoniou, Antreas, Storkey, Amos, Cohen, Shay B., McDonagh, Steven, Crowley, Elliot J.
Neural architecture search (NAS) finds high performing networks for a given task. Yet the results of NAS are fairly prosaic; they did not e.g. create a shift from convolutional structures to transformers. This is not least because the search spaces i
Externí odkaz:
http://arxiv.org/abs/2405.20838
Publikováno v:
Phys. Rev. D 110, 024065 (2024)
Gravitational wave observations can test the validity of General Relativity (GR) in the strong field regime. Certain classes of scalar-tensor theories indeed predict that compact objects can exhibit significant deviations from their GR counterparts.
Externí odkaz:
http://arxiv.org/abs/2404.02479
Publikováno v:
ERJ Open Research, Vol 7, Iss 1 (2021)
Externí odkaz:
https://doaj.org/article/009fa0f411fd45758b68e6109765ce07
Autor:
Kim, Kiyoon, Gowda, Shreyank N, Eustratiadis, Panagiotis, Antoniou, Antreas, Fisher, Robert B
Despite recent advances in video action recognition achieving strong performance on existing benchmarks, these models often lack robustness when faced with natural distribution shifts between training and test data. We propose two novel evaluation me
Externí odkaz:
http://arxiv.org/abs/2401.11406