Search Results - "Escapil-Inchauspé, Paul" :: K.UTB vyhledávací portál | TBU Library Retrieval Portal

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

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

by Escapil-Inchauspé, Paul, Ruz, Gonzalo A.
Published in Neurocomputing (Amsterdam) (07.12.2023)

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Journal Article

Author Correction: h-Analysis and data-parallel physics-informed neural networks

Author Correction: h-Analysis and data-parallel physics-informed neural networks

by Escapil‑Inchauspé, Paul, Ruz, Gonzalo A.
Published in Scientific reports (27.05.2024)

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Journal Article

h-Analysis and data-parallel physics-informed neural networks

h-Analysis and data-parallel physics-informed neural networks

by Escapil-Inchauspé, Paul, Ruz, Gonzalo A.
Published in Scientific reports (16.10.2023)

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Journal Article

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

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

by Escapil-Inchauspe, Paul, Jerez-Hanckes, Carlos
Published in IEEE transactions on antennas and propagation (01.08.2024)

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Journal Article

Bi-parametric operator preconditioning

Bi-parametric operator preconditioning

by Escapil-Inchauspé, Paul, Jerez-Hanckes, Carlos
Published in Computers & mathematics with applications (1987) (15.11.2021)

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Journal Article

Fast Calderón Preconditioning for the Electric Field Integral Equation

Fast Calderón Preconditioning for the Electric Field Integral Equation

by Escapil-Inchauspe, Paul, Jerez-Hanckes, Carlos
Published in IEEE transactions on antennas and propagation (01.04.2019)

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Journal Article

Accelerated Calderón preconditioning for Maxwell transmission problems

Accelerated Calderón preconditioning for Maxwell transmission problems

by Kleanthous, Antigoni, Betcke, Timo, Hewett, David P., Escapil-Inchauspé, Paul, Jerez-Hanckes, Carlos, Baran, Anthony J.
Published in Journal of computational physics (01.06.2022)

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Journal Article

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

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

by Ayala, Alan, Claeys, Xavier, Escapil-Inchauspé, Paul, Jerez-Hanckes, Carlos
Published in Journal of computational and applied mathematics (15.10.2022)

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Journal Article

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

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

by Escapil-Inchauspé, Paul, Jerez-Hanckes, Carlos
Year of Publication 02.08.2023

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Journal Article

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

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

by Escapil-Inchauspé, Paul, Ruz, Gonzalo A
Year of Publication 17.02.2023

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Journal Article

Physics-informed neural networks for operator equations with stochastic data

Physics-informed neural networks for operator equations with stochastic data

by Escapil-Inchauspé, Paul, Ruz, Gonzalo A
Year of Publication 15.11.2022

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Journal Article

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

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

by Escapil-Inchauspé, Paul, Ruz, Gonzalo A
Year of Publication 13.05.2022

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Journal Article

Shape differentiability of Helmholtz scattering problems via explicit shape calculus

Shape differentiability of Helmholtz scattering problems via explicit shape calculus

by Escapil-Inchauspé, Paul, Jerez-Hanckes, Carlos
Year of Publication 20.11.2020

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Journal Article

Bi-Parametric Operator Preconditioning

Bi-Parametric Operator Preconditioning

by Escapil-Inchauspé, Paul, Jerez-Hanckes, Carlos
Year of Publication 10.11.2020

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Journal Article

Physics-informed neural networks for operator equations with stochastic data

Physics-informed neural networks for operator equations with stochastic data

by Paul Escapil-Inchauspé, Ruz, Gonzalo A
Published in arXiv.org (03.05.2024)

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Paper

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

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

by Escapil-Inchauspé, Paul, Jerez-Hanckes, Carlos
Year of Publication 30.08.2019

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Journal Article

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

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

by Paul Escapil-Inchauspé, Ruz, Gonzalo A
Published in arXiv.org (23.08.2023)

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Paper

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

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

by Paul Escapil-Inchauspé, Jerez-Hanckes, Carlos
Published in arXiv.org (02.08.2023)

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Paper

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

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

by Paul Escapil-Inchauspé, Ruz, Gonzalo A
Published in arXiv.org (30.01.2023)

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Paper

Local Multiple Traces Formulation for Electromagnetics: Stability and Preconditioning for Smooth Geometries

Local Multiple Traces Formulation for Electromagnetics: Stability and Preconditioning for Smooth Geometries

by Ayala, Alan, Claeys, Xavier, Escapil-Inchauspé, Paul, Jerez-Hanckes, Carlos
Year of Publication 18.03.2020

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Journal Article