Zobrazeno 1 - 10
of 52 484
pro vyhledávání: '"Esteban, P."'
Autor:
Chen, Zhuomin, Ni, Jingchao, Salehi, Hojat Allah, Zheng, Xu, Schafir, Esteban, Shirani, Farhad, Luo, Dongsheng
Graph representation learning (GRL), enhanced by graph augmentation methods, has emerged as an effective technique achieving performance improvements in wide tasks such as node classification and graph classification. In self-supervised GRL, paired g
Externí odkaz:
http://arxiv.org/abs/2410.12657
Autor:
Babu, K. Victor Sam Moses, Dwivedi, Divyanshi, Valdes, Marcelo Esteban, Chakraborty, Pratyush, Panigrahi, Prasanta Kumar, Pal, Mayukha
Arcing faults in low voltage (LV) distribution systems associated with arc-flash risk and potentially significant equipment damage are notoriously difficult to detect under some conditions. Especially so when attempting to detect using sensing at the
Externí odkaz:
http://arxiv.org/abs/2410.10151
This thesis aims at discerning the effect of environment on galaxy evolution and on the properties of galaxies, using the data from the miniJPAS survey, a 1~deg$^2$ survey that uses the same photometric filter system as the incoming J-PAS survey, whi
Externí odkaz:
http://arxiv.org/abs/2410.09931
Autor:
Esteban-Gutiérrez, A., García-Aspeitia, Miguel A., Hernández-Almada, A., Magaña, Juan, Motta, V.
We present a new model based on General Relativity in where a subtle change of curvature at late times is able to produce the observed Universe acceleration and an oscillating behavior in the effective equation of state, similar to what has been clai
Externí odkaz:
http://arxiv.org/abs/2410.08306
Decoding strategies for large language models (LLMs) are a critical but often underexplored aspect of text generation tasks. Since LLMs produce probability distributions over the entire vocabulary, various decoding methods have been developed to tran
Externí odkaz:
http://arxiv.org/abs/2410.06097
Autor:
Esteban, Ivan, Gonzalez-Garcia, M. C., Maltoni, Michele, Martinez-Soler, Ivan, Pinheiro, João Paulo, Schwetz, Thomas
We present an updated global analysis of neutrino oscillation data as of September 2024. The parameters $\theta_{12}$, $\theta_{13}$, $\Delta m^2_{21}$, and $|\Delta m^2_{3\ell}|$ ($\ell = 1,2$) are well-determined with relative precision at $3\sigma
Externí odkaz:
http://arxiv.org/abs/2410.05380
Centipedes exhibit great maneuverability in diverse environments due to their many legs and body-driven control. By leveraging similar morphologies, their robotic counterparts also demonstrate effective terrestrial locomotion. However, the success of
Externí odkaz:
http://arxiv.org/abs/2410.01050
The advancement of the Natural Language Processing field has enabled the development of language models with a great capacity for generating text. In recent years, Neuroscience has been using these models to better understand cognitive processes. In
Externí odkaz:
http://arxiv.org/abs/2409.20174
Autor:
Micolta-Riascos, Bayron, Millano, Alfredo D., Leon, Genly, Droguett, Byron, González, Esteban, Magaña, Juan
Our paper introduces a new theory called Fractional Einstein-Gauss-Bonnet scalar field cosmology, which has significant implications for Cosmology. We derived a modified Friedmann equation and a modified Klein-Gordon equation using fractional calculu
Externí odkaz:
http://arxiv.org/abs/2410.00342
Autor:
Osorio-Marulanda, Pablo A., Ramirez, John Esteban Castro, Jiménez, Mikel Hernández, Reyes, Nicolas Moreno, Unanue, Gorka Epelde
Creation of synthetic data models has represented a significant advancement across diverse scientific fields, but this technology also brings important privacy considerations for users. This work focuses on enhancing a non-parametric copula-based syn
Externí odkaz:
http://arxiv.org/abs/2409.18611