Paul Escapil-Inchauspé

According to our database, Paul Escapil-Inchauspé authored at least 9 papers between 2019 and 2023.

Collaborative distances:

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

2023

Hyper-parameter tuning of physics-informed neural networks: Application to Helmholtz problems.

Paul Escapil-Inchauspé, Gonzalo A. Ruz

Neurocomputing, December, 2023

Shape Uncertainty Quantification for Electromagnetic Wave Scattering via First-Order Sparse Boundary Element Approximation.

Paul Escapil-Inchauspé, Carlos Jerez-Hanckes

CoRR, 2023

h-analysis and data-parallel physics-informed neural networks.

Paul Escapil-Inchauspé, Gonzalo A. Ruz

CoRR, 2023

2022

Accelerated Calderón preconditioning for Maxwell transmission problems.

Antigoni Kleanthous, Timo Betcke, David P. Hewett, Paul Escapil-Inchauspé, Carlos Jerez-Hanckes, Anthony J. Baran

J. Comput. Phys., 2022

Local Multiple Traces Formulation for electromagnetics: Stability and preconditioning for smooth geometries.

Alan Ayala, Xavier Claeys, Paul Escapil-Inchauspé, Carlos Jerez-Hanckes

J. Comput. Appl. Math., 2022

Physics-informed neural networks for operator equations with stochastic data.

Paul Escapil-Inchauspé, Gonzalo A. Ruz

CoRR, 2022

2021

Bi-parametric operator preconditioning.

Paul Escapil-Inchauspé, Carlos Jerez-Hanckes

Comput. Math. Appl., 2021

2020

Helmholtz Scattering by Random Domains: First-Order Sparse Boundary Element Approximation.

Paul Escapil-Inchauspé, Carlos Jerez-Hanckes

SIAM J. Sci. Comput., 2020

2019

Helmholtz scattering by random domains: first-order sparse boundary elements approximation.

Paul Escapil-Inchauspé, Carlos Jerez-Hanckes

CoRR, 2019