Ignacio Brevis

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 6

Top Topics

Machine Learning

Learning Scheme

Top Venues

Comput. Math. Appl.

Publications

Ignacio Brevis, Ignacio Muga, David Pardo, Oscar A. Rodríguez, Kristoffer G. van der Zee
Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach. Comput. Math. Appl. 164 (2024)
Ignacio Brevis, Ignacio Muga, David Pardo, Oscar Rodríguez, Kristoffer G. van der Zee
Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach. CoRR (2023)
Ignacio Brevis, Ignacio Muga, Kristoffer G. van der Zee
Neural Control of Discrete Weak Formulations: Galerkin, Least-Squares and Minimal-Residual Methods with Quasi-Optimal Weights. CoRR (2022)
Ignacio Brevis, Ignacio Muga, Kristoffer G. van der Zee
A machine-learning minimal-residual (ML-MRes) framework for goal-oriented finite element discretizations. Comput. Math. Appl. 95 (2021)
Ignacio Brevis, Ignacio Muga, Kristoffer G. van der Zee
Data-Driven Finite Elements Methods: Machine Learning Acceleration of Goal-Oriented Computations. CoRR (2020)
Ignacio Brevis, Ángel Rodríguez-Rozas, Jaime H. Ortega, David Pardo
Source time reversal (STR) method for linear elasticity. Comput. Math. Appl. 77 (5) (2019)