Spremljaj
Carlos Uriarte
Naslov
Navedeno
Navedeno
Leto
A Finite Element based Deep Learning solver for parametric PDEs
C Uriarte, D Pardo, ÁJ Omella
Computer Methods in Applied Mechanics and Engineering 391, 114562, 2022
322022
A deep double Ritz method (D2RM) for solving partial differential equations using neural networks
C Uriarte, D Pardo, I Muga, J Muñoz-Matute
Computer Methods in Applied Mechanics and Engineering 405, 115892, 2023
192023
Optimizing variational physics-informed neural networks using least squares
C Uriarte, M Bastidas, D Pardo, JM Taylor, S Rojas
Computers & Mathematics with Applications 185, 76-93, 2025
22025
Solving Partial Differential Equations Using Artificial Neural Networks
C Uriarte
arXiv preprint arXiv:2403.09001, 2024
22024
A Least-Squares-Based Neural Network (LS-Net) for Solving Linear Parametric PDEs
S Baharlouei, JM Taylor, C Uriarte, D Pardo
Computer Methods in Applied Mechanics and Engineering 437, 117757, 2025
12025
Accelerating training of physics informed neural network for 1D PDEs with hierarchical matrices
M Dobija, A Paszyńska, C Uriarte, M Paszyński
International Conference on Computational Science, 352-362, 2024
12024
Memory-Based Monte Carlo Integration for Solving Partial Differential Equations Using Neural Networks
C Uriarte, JM Taylor, D Pardo, OA Rodríguez, P Vega
International Conference on Computational Science, 509-516, 2023
12023
Collocation-based Robust Variational Physics-Informed Neural Networks (CRVPINN)
M Łoś, T Służalec, P Maczuga, A Vilkha, C Uriarte, M Paszyński
arXiv preprint arXiv:2401.02300, 2024
2024
Massive Finite Element Computations for Deep Learning Inversion
CU Baranda
Euskal Herriko Unibertsitatea, 2019
2019
La Función Zeta de Riemann y su relación con la distribución de los números primos
CU Baranda
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