Jamie M. Taylor

21 papers Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Least-Squares-Based Regularity-Conforming Neural Networks (LS-ReCoNNs) for Solving Parametric Transmission Problems.
CoRR
Shima Baharlouei, Jamie M. Taylor, David Pardo
2026 J jnl
Efficient numerical integration for finite element trunk spaces in 2D and 3D using machine learning: A new optimisation paradigm to construct application-Specific quadrature rules.
J. Comput. Phys.
Tomás Teijeiro, Pouria Behnoudfar, Jamie M. Taylor, David Pardo, Victor M. Calo
2026 J jnl
RUNNs: Ritz-Uzawa Neural Networks for Solving Variational Problems.
CoRR
Pablo Herrera, Jamie M. Taylor, Carlos Uriarte, Ignacio Muga, David Pardo, Kristoffer G. van der Zee
2026 J jnl
Stochastic quadrature rules for solving PDEs using neural networks.
Comput. Math. Appl.
Jamie M. Taylor, David Pardo
2025 J jnl
Deep Fourier Residual method for solving time-harmonic Maxwell's equations.
J. Comput. Phys.
Jamie M. Taylor, Manuela Bastidas, David Pardo, Ignacio Muga
2025 J jnl
Efficient Numerical Integration for Finite Element Trunk Spaces in 2D and 3D using Machine Learning: A new Optimisation Paradigm to Construct Application-Specific Quadrature Rules.
CoRR
Tomás Teijeiro, Pouria Behnoudfar, Jamie M. Taylor, David Pardo, Victor M. Calo
2025 J jnl
Optimizing Variational Physics-Informed Neural Networks Using Least Squares.
Comput. Math. Appl.
Carlos Uriarte, Manuela Bastidas, David Pardo, Jamie M. Taylor, Sergio Rojas
2025 J jnl
Regularity-conforming neural networks (ReCoNNs) for solving partial differential equations.
J. Comput. Phys.
Jamie M. Taylor, David Pardo, Judit Muñoz-Matute
2025 J jnl
Stochastic Quadrature Rules for Solving PDEs using Neural Networks.
CoRR
Jamie M. Taylor, David Pardo
2024 J jnl
A Least-Squares-Based Neural Network (LS-Net) for Solving Linear Parametric PDEs.
CoRR
Shima Baharlouei, Jamie M. Taylor, Carlos Uriarte, David Pardo
2024 J jnl
Adaptive Deep Fourier Residual method via overlapping domain decomposition.
CoRR
Jamie M. Taylor, Manuela Bastidas, Victor M. Calo, David Pardo
2024 J jnl
Optimizing Variational Physics-Informed Neural Networks Using Least Squares.
CoRR
Carlos Uriarte, Manuela Bastidas, David Pardo, Jamie M. Taylor, Sergio Rojas
2024 J jnl
Regularity-Conforming Neural Networks (ReCoNNs) for solving Partial Differential Equations.
CoRR
Jamie M. Taylor, David Pardo, Judit Muñoz-Matute
2023 J jnl
Deep Fourier Residual method for solving time-harmonic Maxwell's equations.
CoRR
Jamie M. Taylor, Manuela Bastidas, David Pardo, Ignacio Muga
2023 J jnl
Machine Learning Discovery of Optimal Quadrature Rules for Isogeometric Analysis.
CoRR
Tomás Teijeiro, Jamie M. Taylor, Ali Hashemian, David Pardo
2023 — conf
Memory-Based Monte Carlo Integration for Solving Partial Differential Equations Using Neural Networks.
ICCS (2)
Carlos Uriarte, Jamie M. Taylor, David Pardo, Oscar A. Rodríguez, Patrick Vega
2022 J jnl
A Deep Fourier Residual Method for solving PDEs using Neural Networks.
CoRR
Jamie M. Taylor, David Pardo, Ignacio Muga
2021 J jnl
Cavity Volume and Free Energy in Many-Body Systems.
J. Nonlinear Sci.
Jamie M. Taylor, Thomas G. Fai, Epifanio G. Virga, Xiaoyu Zheng, Peter Palffy-Muhoray
2021 J jnl
On quadrature rules for solving Partial Differential Equations using Neural Networks.
CoRR
Jon Ander Rivera, Jamie M. Taylor, Angel Javier Omella, David Pardo
2019 J jnl
Convex Integration Arising in the Modelling of Shape-Memory Alloys: Some Remarks on Rigidity, Flexibility and Some Numerical Implementations.
J. Nonlinear Sci.
Angkana Rüland, Jamie M. Taylor, Christian Zillinger
2018 J jnl
An Analysis of Equilibria in Dense Nematic Liquid Crystals.
SIAM J. Math. Anal.
Jamie M. Taylor