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pro vyhledávání: '"Mora, Carlos"'
Operator learning focuses on approximating mappings $\mathcal{G}^\dagger:\mathcal{U} \rightarrow\mathcal{V}$ between infinite-dimensional spaces of functions, such as $u: \Omega_u\rightarrow\mathbb{R}$ and $v: \Omega_v\rightarrow\mathbb{R}$. This mak
Externí odkaz:
http://arxiv.org/abs/2409.04538
Topology optimization (TO) provides a principled mathematical approach for optimizing the performance of a structure by designing its material spatial distribution in a pre-defined domain and subject to a set of constraints. The majority of existing
Externí odkaz:
http://arxiv.org/abs/2408.03490
Physics-informed machine learning (PIML) has emerged as a promising alternative to conventional numerical methods for solving partial differential equations (PDEs). PIML models are increasingly built via deep neural networks (NNs) whose architecture
Externí odkaz:
http://arxiv.org/abs/2401.03492
In this paper we introduce GP+, an open-source library for kernel-based learning via Gaussian processes (GPs) which are powerful statistical models that are completely characterized by their parametric covariance and mean functions. GP+ is built on P
Externí odkaz:
http://arxiv.org/abs/2312.07694
Autor:
Mora, Carlos, Eweis-Labolle, Jonathan Tammer, Johnson, Tyler, Gadde, Likith, Bostanabad, Ramin
In many applications in engineering and sciences analysts have simultaneous access to multiple data sources. In such cases, the overall cost of acquiring information can be reduced via data fusion or multi-fidelity (MF) modeling where one leverages i
Externí odkaz:
http://arxiv.org/abs/2301.13271
Data-Driven Calibration of Multi-Fidelity Multiscale Fracture Models via Latent Map Gaussian Process
Fracture modeling of metallic alloys with microscopic pores relies on multiscale damage simulations which typically ignore the manufacturing-induced spatial variabilities in porosity. This simplification is made because of the prohibitive computation
Externí odkaz:
http://arxiv.org/abs/2205.12157
Autor:
Mora, Carlos A.
Coalbed methane (CBM) reservoirs have become a very important natural resource around the world. Because of their complexity, calculating original gas in place and analyzing production performance require consideration of special features. Coalbed me
Externí odkaz:
http://hdl.handle.net/1969.1/ETD-TAMU-1958
Publikováno v:
In Advances in Engineering Software September 2024 195
Autor:
Cortés Guerrero, José David, Marín Leoz, Juana María, García Rincón, Leonardo Fabián, Plata, William Elvis, Hernández Fernández, Diana Paola, Campillo Pardo, Alberto José, Moreno-Goldschmidt, Aliza, David, Odette Yidi, Salcedo Martínez, Jorge Enrique, Pinto Bernal, Jose Joaquin, Mora Pacheco, Katherinne Giselle, Cascavita Mora, Juan David, Jurado Jurado, Juan Carlos, Rueda Enciso, José Eduardo, Carballo, Fabio Hernán, Muñoz, Fernanda, Zuleta Gómez, Darío Arturo, Arboleda Mora, Carlos, Tamayo Franco, Rafael, Córdoba-Restrepo, Juan Felipe, López Amaya, Jeiman David, Vázquez Piñeros, María del Rosario, Manosalva Correa, Andrés Felipe, Cabrera Becerra, Gabriel, Reyes Sánchez, Gina Marcela
Hasta hace poco tiempo la religión no era un tema de conversación en un hogar colombiano promedio. Era, eso sí, una vivencia, una práctica o, en el peor de los casos, una presencia nominal, esto es, se pertenecía a la religión por haber sido ba
Autor:
Valderrama, Daniel Fernández, Ferro, Giulio, Guerrero Alonso, Juan Ignacio, de Mora, Carlos León, Parodi, Luca, Robba, Michela
Publikováno v:
In IFAC PapersOnLine 2024 58(2):112-117