Zobrazeno 1 - 10
of 18 942
pro vyhledávání: '"Hurtado, P"'
Autor:
Owen-Newns, Dafydd, Jaurigue, Lina, Robertson, Josh, Adair, Andrew, Jaurigue, Jonnel Anthony, Lüdge, Kathy, Hurtado, Antonio
Photonic technologies hold significant potential for creating innovative, high-speed, efficient and hardware-friendly neuromorphic computing platforms. Neuromorphic photonic methods leveraging ubiquitous, technologically mature and cost-effective Ver
Externí odkaz:
http://arxiv.org/abs/2412.09233
In the era of precision cosmology, the ability to generate accurate and large-scale galaxy catalogs is crucial for advancing our understanding of the universe. With the flood of cosmological data from current and upcoming missions, generating theoret
Externí odkaz:
http://arxiv.org/abs/2412.05131
Autor:
Hurtado, Roger Anderson
In this work, we linearize the field equations in the $f(R)$ theory using the Starobinsky model, $R+R^2/(6m^2)$, and explore the impact of modifications to the gravitational field equations on the propagation and structure of gravitational waves. An
Externí odkaz:
http://arxiv.org/abs/2411.06706
Autor:
Galbally, Javier, Cepilovs, Aleksandrs, Blanco-Gonzalo, Ramon, Ormiston, Gillian, Miguel-Hurtado, Oscar, Racz, Istvan Sz.
Even though a few initial works have shown on small sets of data some level of bias in the performance of fingerprint recognition technology with respect to certain demographic groups, there is still not sufficient evidence to understand the impact t
Externí odkaz:
http://arxiv.org/abs/2409.19992
Forecasting the semantics and 3D structure of scenes is essential for robots to navigate and plan actions safely. Recent methods have explored semantic and panoptic scene forecasting; however, they do not consider the geometry of the scene. In this w
Externí odkaz:
http://arxiv.org/abs/2409.12008
Autor:
Rojas-Venegas, José Alejandro, Gallarta-Sáenz, Pablo, Hurtado, Rafael G., Gómez-Gardeñes, Jesús, Soriano-Paños, David
Publikováno v:
Entropy 2024, 26(10), 888
Obtaining accurate forecasts for the evolution of epidemic outbreaks from deterministic compartmental models represents a major theoretical challenge. Recently, it has been shown that these models typically exhibit trajectories' degeneracy, as differ
Externí odkaz:
http://arxiv.org/abs/2409.06438
Light can be squeezed by reducing the quantum uncertainty of the electric field for some phases. We show how to use this purely-quantum effect to extract net mechanical work from radiation pressure in a simple quantum photon engine. Along the way, we
Externí odkaz:
http://arxiv.org/abs/2408.15085
Deformable image registration is a standard engineering problem used to determine the distortion experienced by a body by comparing two images of it in different states. This study introduces two new DIR methods designed to capture non-affine deforma
Externí odkaz:
http://arxiv.org/abs/2409.00037
Autor:
Hummos, Ali, del Río, Felipe, Wang, Brabeeba Mien, Hurtado, Julio, Calderon, Cristian B., Yang, Guangyu Robert
Humans and many animals show remarkably adaptive behavior and can respond differently to the same input depending on their internal goals. The brain not only represents the intermediate abstractions needed to perform a computation but also actively m
Externí odkaz:
http://arxiv.org/abs/2407.17356
Autor:
Gulati, Aryan, Dong, Xingjian, Hurtado, Carlos, Shekkizhar, Sarath, Swayamdipta, Swabha, Ortega, Antonio
As language models become more general purpose, increased attention needs to be paid to detecting out-of-distribution (OOD) instances, i.e., those not belonging to any of the distributions seen during training. Existing methods for detecting OOD data
Externí odkaz:
http://arxiv.org/abs/2407.13141