Zobrazeno 1 - 10
of 17 430
pro vyhledávání: '"P, Abad"'
Autor:
Guarcello, M. G., Almendros-Abad, V., Lovell, J. B., Monsch, K., Muzic, K., Martiinez-Galarza, J. R., Drake, J. J., Anastasopoulou, K., Andersen, M., Argiroffi, C., Bayo, A., Bonito, R., Capela, D., Damiani, F., Gennaro, M., Ginsburg, A., Grebel, E. K., Hora, J. L., Moraux, E., Najarro, F., Negueruela, I., Prisinzano, L., Richardson, N. D., Ritchie, B., Robberto, M., Rom, T., Sabbi, E., Sciortino, S., Umana, G., Winter, A., Wright, N. J., Zeidler, P.
The typically large distances, extinction, and crowding of Galactic supermassive star clusters have so far hampered the identification of their very low mass members, required to extend our understanding of star and planet formation, and early stella
Externí odkaz:
http://arxiv.org/abs/2411.13051
Autor:
Buen-Abad, Manuel A., Chacko, Zackaria, Flood, Ina, Kilic, Can, Marques-Tavares, Gustavo, Youn, Taewook
We present a new class of interacting dark sector models that can address the Hubble tension. Interacting dark radiation (DR) has previously been put forward as a solution to the problem, but this proposal is disfavored by the high-$\ell$ cosmic micr
Externí odkaz:
http://arxiv.org/abs/2411.08097
Deep Learning (DL) has shown promise for downscaling global climate change projections under different approaches, including Perfect Prognosis (PP) and Regional Climate Model (RCM) emulation. Unlike emulators, PP downscaling models are trained on obs
Externí odkaz:
http://arxiv.org/abs/2411.05850
While security vulnerabilities in traditional Deep Neural Networks (DNNs) have been extensively studied, the susceptibility of Spiking Neural Networks (SNNs) to adversarial attacks remains mostly underexplored. Until now, the mechanisms to inject bac
Externí odkaz:
http://arxiv.org/abs/2411.03022
Large vision-language models (VLLMs) exhibit promising capabilities for processing multi-modal tasks across various application scenarios. However, their emergence also raises significant data security concerns, given the potential inclusion of sensi
Externí odkaz:
http://arxiv.org/abs/2411.02902
We propose a relaxation mechanism for the initial misalignment angle of the pre-inflationary QCD axion with a large decay constant. The proposal addresses the challenges posed to the axion dark matter scenario by an overabundance of axions overclosin
Externí odkaz:
http://arxiv.org/abs/2410.21369
Autor:
Abad, E., Yuste, S. B.
We review some representative results for first-passage problems involving so-called mortal or evanescent walkers, i.e., walkers with a finite lifetime. The mortality constraint plays a key role in the modeling of many real scenarios, as it filters o
Externí odkaz:
http://arxiv.org/abs/2410.15860
Autor:
Carvalho, Carlos, Abad, Alberto
Self-supervised learning (SSL) leverages large amounts of unlabelled data to learn rich speech representations, fostering improvements in automatic speech recognition (ASR), even when only a small amount of labelled data is available for fine-tuning.
Externí odkaz:
http://arxiv.org/abs/2410.14910
Autor:
Gandia, David, Marcano, Lourdes, Gandarias, Lucía, Gubieda, Alicia G., García-Prieto, Ana, Barquín, Luis Fernández, Espeso, Jose Ignacio, Jefremovas, Elizabeth Martín, Orue, Iñaki, de Cerio, Ana Abad Diaz, Fdez-Gubieda, M. Luisa, Alonso, Javier
Magnetotactic bacteria (MTB) are of significant interest for biophysical applications, particularly in cancer treatment. The biomineralized magnetosomes produced by these bacteria are high-quality magnetic nanoparticles that form chains through a hig
Externí odkaz:
http://arxiv.org/abs/2410.00550
Artificial Neural Networks (ANNs), commonly mimicking neurons with non-linear functions to output floating-point numbers, consistently receive the same signals of a data point during its forward time. Unlike ANNs, Spiking Neural Networks (SNNs) get v
Externí odkaz:
http://arxiv.org/abs/2409.19413