Ignacio Brevis

According to our database, Ignacio Brevis authored at least 8 papers between 2019 and 2025.

Collaborative distances:

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

2025

Inexact Uzawa-Double Deep Ritz Method for Weak Adversarial Neural Networks.

Emin Benny-Chacko, Ignacio Brevis, Luis Espath, Kristoffer G. van der Zee

CoRR, December, 2025

Neural Network Dual Norms for Minimal Residual Finite Element Methods.

Hamd Alsobhi, Emin Benny-Chacko, Ignacio Brevis, Kristoffer G. van der Zee

CoRR, September, 2025

Neural network methods for power series problems of Perron-Frobenius operators.

T. Udomworarat, Ignacio Brevis, M. Richter, Sergio Rojas, Kristoffer G. van der Zee

CoRR, May, 2025

2024

Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach.

Ignacio Brevis, Ignacio Muga, David Pardo, Oscar A. Rodríguez, Kristoffer G. van der Zee

Comput. Math. Appl., 2024

2022

Neural Control of Discrete Weak Formulations: Galerkin, Least-Squares and Minimal-Residual Methods with Quasi-Optimal Weights.

Ignacio Brevis, Ignacio Muga, Kristoffer G. van der Zee

CoRR, 2022

2021

A machine-learning minimal-residual (ML-MRes) framework for goal-oriented finite element discretizations.

Ignacio Brevis, Ignacio Muga, Kristoffer G. van der Zee

Comput. Math. Appl., 2021

2020

Data-Driven Finite Elements Methods: Machine Learning Acceleration of Goal-Oriented Computations.

Ignacio Brevis, Ignacio Muga, Kristoffer G. van der Zee

CoRR, 2020

2019

Source time reversal (STR) method for linear elasticity.

Ignacio Brevis, Ángel Rodríguez-Rozas, Jaime H. Ortega, David Pardo

Comput. Math. Appl., 2019