Zobrazeno 1 - 10
of 23 744
pro vyhledávání: '"A, Cueto"'
Autor:
Boehmer, Niclas, Zhao, Yunfan, Xiong, Guojun, Rodriguez-Diaz, Paula, Cibrian, Paola Del Cueto, Ngonzi, Joseph, Boatin, Adeline, Tambe, Milind
Maternal mortality remains a significant global public health challenge. One promising approach to reducing maternal deaths occurring during facility-based childbirth is through early warning systems, which require the consistent monitoring of mother
Externí odkaz:
http://arxiv.org/abs/2410.08377
Autor:
Tierz, Alicia, Iparraguirre, Mikel M., Alfaro, Iciar, Gonzalez, David, Chinesta, Francisco, Cueto, Elias
We explore the feasibility of foundation models for the simulation of physical phenomena, with emphasis on continuum (solid and fluid) mechanics. Although so-called learned simulators have shown some success when applied to specific tasks, it remains
Externí odkaz:
http://arxiv.org/abs/2410.14645
Autor:
Khalife, Sammy, Tonelli-Cueto, Josué
Uniform expressivity guarantees that a Graph Neural Network (GNN) can express a query without the parameters depending on the size of the input graphs. This property is desirable in applications in order to have number of trainable parameters that is
Externí odkaz:
http://arxiv.org/abs/2410.01910
Autor:
Hutter, Anne, Cueto, Elie R, Dayal, Pratika, Gottlöber, Stefan, Trebitsch, Maxime, Yepes, Gustavo
The James Webb Space Telescope (JWST) has uncovered an abundance of $z>10$ galaxies bright in the ultraviolet (UV) that has challenged traditional theoretical models at high redshifts. Recently, various new models have emerged to address this discrep
Externí odkaz:
http://arxiv.org/abs/2410.00730
Measuring Efficiency in neural network system development is an open research problem. This paper presents an experimental framework to measure the training efficiency of a neural architecture. To demonstrate our approach, we analyze the training eff
Externí odkaz:
http://arxiv.org/abs/2409.07925
One of the most widely used active materials for phase-change memories (PCM), the ternary stoichiometric compound Ge$_2$Sb$_2$Te$_5$ (GST), has a low crystallization temperature of around 150$^\circ$C. One solution to achieve higher operating tempera
Externí odkaz:
http://arxiv.org/abs/2409.06463
Publikováno v:
Molecular Physics e2302385 (2024)
In this work, we have calculated self-diffusion and shear viscosity, two of the most important transport properties, of the spherical square-well (SW) fluid interacting with potential range $\lambda = 1.5 \, \sigma$. To this end, we have used a combi
Externí odkaz:
http://arxiv.org/abs/2408.13327
Autor:
Maestre, María Miró, Martínez-Murillo, Iván, Martin, Tania J., Navarro-Colorado, Borja, Ferrández, Antonio, Cueto, Armando Suárez, Lloret, Elena
Generative Artificial Intelligence has grown exponentially as a result of Large Language Models (LLMs). This has been possible because of the impressive performance of deep learning methods created within the field of Natural Language Processing (NLP
Externí odkaz:
http://arxiv.org/abs/2407.10554
Orthogonal arrays play a fundamental role in many applications. However, constructing orthogonal arrays with the required parameters for an application usually is extremely difficult and, sometimes, even impossible. Hence there is an increasing need
Externí odkaz:
http://arxiv.org/abs/2406.19516
Autor:
Majumder, Apratim, Meem, Monjurul, del Cueto, Fernando Gonzalez, Guevara-Vasquez, Fernando, Qadri, Syed N., Santiago, Freddie, Menon, Rajesh
We present a novel high-definition (HD) snapshot diffractive spectral imaging system utilizing a diffractive filter array (DFA) to capture a single image that encodes both spatial and spectral information. This single diffractogram can be computation
Externí odkaz:
http://arxiv.org/abs/2406.17302