Carlos Uriarte

According to our database, Carlos Uriarte authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Robust Deep FOSLS for Transmission Problems.

Alejandro Duque, Paulina Sepúlveda, Carlos Uriarte, Jamie M. Taylor, David Pardo

CoRR, April, 2026

RUNNs: Ritz-Uzawa Neural Networks for Solving Variational Problems.

Pablo Herrera, Jamie M. Taylor, Carlos Uriarte, Ignacio Muga, David Pardo, Kristoffer G. van der Zee

CoRR, March, 2026

Reliable physics-informed neural networks for Navier-Stokes simulations. Can we trust AI-generated numerical simulations?

Tomasz Sluzalec, Daria Wójcik, Carlos Uriarte, Marcin Los, Anna Paszynska, Maciej Paszynski

J. Comput. Sci., 2026

An r -adaptive finite element method using neural networks for parametric self-adjoint elliptic problems.

Danilo Aballay, Federico Fuentes, Vicente Iligaray, Angel Javier Omella, David Pardo, Manuel A. Sánchez, Ignacio Tapia, Carlos Uriarte

J. Comput. Phys., 2026

2025

An <i>r</i>-adaptive finite element method using neural networks for parametric self-adjoint elliptic problem.

Danilo Aballay, Federico Fuentes, Vicente Iligaray, Angel Javier Omella, David Pardo, Manuel A. Sánchez, Ignacio Tapia, Carlos Uriarte

CoRR, April, 2025

Optimizing Variational Physics-Informed Neural Networks Using Least Squares.

Carlos Uriarte, Manuela Bastidas, David Pardo, Jamie M. Taylor, Sergio Rojas

Comput. Math. Appl., 2025

Tensorial Implementation for Robust Variational Physics-Informed Neural Networks.

Askold Vilkha, Carlos Uriarte, Pawel Maczuga, Tomasz Sluzalec, Maciej Paszynski

Proceedings of the Computational Science - ICCS 2025, 2025

2024

A Least-Squares-Based Neural Network (LS-Net) for Solving Linear Parametric PDEs.

Shima Baharlouei, Jamie M. Taylor, Carlos Uriarte, David Pardo

CoRR, 2024

Solving Partial Differential Equations Using Artificial Neural Networks.

Carlos Uriarte

CoRR, 2024

Accelerating Training of Physics Informed Neural Network for 1D PDEs with Hierarchical Matrices.

Mateusz Dobija, Anna Paszynska, Carlos Uriarte, Maciej Paszynski

Proceedings of the Computational Science - ICCS 2024, 2024

2023

Memory-Based Monte Carlo Integration for Solving Partial Differential Equations Using Neural Networks.

Carlos Uriarte, Jamie M. Taylor, David Pardo, Oscar A. Rodríguez, Patrick Vega

Proceedings of the Computational Science - ICCS 2023, 2023

2022

A Deep Double Ritz Method (D²RM) for solving Partial Differential Equations using Neural Networks.

Carlos Uriarte, David Pardo, Ignacio Muga, Judit Muñoz-Matute

CoRR, 2022