Parallel hp-Finite Element Simulations of 3D Resistivity Logging Instruments. - Maciej Paszynski; David Pardo; Leszek F. Demkowicz; Carlos Torres-Verdín (CE, 2006)

Two-Dimensional High-Accuracy Simulation of Resistivity Logging-While-Drilling (LWD) Measurements Using a Self-Adaptive Goal-Oriented hp Finite Element Method. - David Pardo; Leszek F. Demkowicz; Carlos Torres-Verdín; Maciej Paszynski (SIAM J. Appl. Math., 2006)

Simulation of multifrequency borehole resistivity measurements through metal casing using a goal-oriented hp finite-element method. - David Pardo; Carlos Torres-Verdín; Leszek F. Demkowicz (IEEE Trans. Geosci. Remote. Sens., 2006)

PML Enhanced with a Self-Adaptive Goal-Oriented hp-Finite Element Method: Simulation of Through-Casing Borehole Resistivity Measurements. - David Pardo; Leszek F. Demkowicz; Carlos Torres-Verdín; C. Michler (SIAM J. Sci. Comput., 2008)

Graph Grammar Based Petri Net Controlled Direct Solver Algorithm. - Arkadiusz Szymczak; Maciej Paszynski; David Pardo (Comput. Sci., 2010)

Parallel multi-frontal solver for p adaptive finite element modeling of multi-physics computational problems. - Maciej Paszynski; David Pardo; Anna Paszynska (J. Comput. Sci., 2010)

A parallel direct solver for the self-adaptive hp Finite Element Method. - Maciej Paszynski; David Pardo; Carlos Torres-Verdín; Leszek F. Demkowicz; Victor M. Calo (J. Parallel Distributed Comput., 2010)

Agent-based computing, adaptive algorithms and bio computing. - Krzysztof Cetnarowicz; Maciej Paszynski; David Pardo; Tibor Bosse; Han La Poutré (ICCS, 2010)

Multigoal-oriented adaptivity for hp-finite element methods. - David Pardo (ICCS, 2010)

Parallel multi-frontal solver for multi-physics p adaptive problems. - Maciej Paszynski; David Pardo; Anna Paszynska (ICCS, 2010)

Arithmetic Method of Double-Injection-Electrode Model for Resistivity Measurement Through Metal Casing. - Qing Chen 004; David Pardo; Hongbin Li; Furong Wang; Qi-zheng Ye (IEEE Trans. Geosci. Remote. Sens., 2010)

Multi-frontal Solver for Simulations of Linear Elasticity coupled with Acoustics. - Maciej Paszynski; Tomasz Jurczyk; David Pardo (Comput. Sci., 2011)

Simulation of wireline sonic logging measurements acquired with Borehole-Eccentered tools using a high-order adaptive finite-element method. - David Pardo; Pawel Jerzy Matuszyk; Ignacio Muga; Carlos Torres-Verdín; Angel Mora 002; Victor M. Calo (J. Comput. Phys., 2011)

A class of discontinuous Petrov-Galerkin methods. Part IV: The optimal test norm and time-harmonic wave propagation in 1D. - J. Zitelli; Ignacio Muga; Leszek F. Demkowicz; Jayadeep Gopalakrishnan; David Pardo; Victor M. Calo (J. Comput. Phys., 2011)

Computational complexity and memory usage for multi-frontal direct solvers used in p finite element analysis. - Victor M. Calo; Nathan O. Collier; David Pardo; Maciej Paszynski (ICCS, 2011)

Goal-Oriented Self-Adaptive hp Finite Element Simulation of 3D DC Borehole Resistivity Simulations. - Victor M. Calo; David Pardo; Maciej Paszynski (ICCS, 2011)

Out-of-core multi-frontal solver for multi-physics hp adaptive problems. - Maciej Paszynski; David Pardo; Anna Paszynska; Leszek F. Demkowicz (ICCS, 2011)

Anisotropic 2D mesh adaptation in hp-adaptive FEM. - Arkadiusz Szymczak; Anna Paszynska; Maciej Paszynski; David Pardo (ICCS, 2011)

Solution of the 3D-Helmholtz equation in exterior domains using spherical harmonic decomposition. - Gorka Garate; Ernesto G. Vadillo; Javier Santamaria; David Pardo (Comput. Math. Appl., 2012)

Computational complexity and memory usage for multi-frontal direct solvers in structured mesh finite elements - Nathan O. Collier; David Pardo; Maciej Paszynski; Victor M. Calo (CoRR, 2012)

A direct solver with reutilization of previously-computed LU factorizations for h-adaptive finite element grids with point singularities - Maciej Paszynski; Victor M. Calo; David Pardo (CoRR, 2012)

On Round-off Error for Adaptive Finite Element Methods. - Julen Álvarez-Aramberri; David Pardo; Maciej Paszynski; Nathan O. Collier; Lisandro Dalcín; Victor M. Calo (ICCS, 2012)

hp-HGS strategy for inverse 3D DC resistivity logging measurement simulations. - Ewa Gajda-Zagórska; Maciej Paszynski; Robert Schaefer; David Pardo; Victor M. Calo (ICCS, 2012)

3D hp-Adaptive Finite Element Simulations of a Magic-T Electromagnetic Waveguide Structure. - I. Gómez-Revuelto; L. E. García-Castillo; S. Llorente-Romano; David Pardo (ICCS, 2012)

Petri Nets for Detecting a 3D Deadlock Problem in Hp-adaptive Finite Element Simulations. - Anna Paszynska; Maciej Paszynski; Arkadiusz Szymczak; David Pardo (ICCS, 2012)

Inversion of Magnetotelluric Measurements Using Multigoal Oriented hp-Adaptivity. - Julen Álvarez-Aramberri; David Pardo; Helene Barucq (ICCS, 2013)

High-Accuracy Adaptive Simulations of a Petri Dish Exposed to Electromagnetic Radiation. - I. Gómez-Revuelto; L. E. García-Castillo; David Pardo (ICCS, 2013)

hp-HGS strategy for inverse AC/DC resistivity logging measurement simulations. - Ewa Gajda-Zagórska; Maciej Paszynski; Robert Schaefer; David Pardo (Comput. Sci., 2013)

A direct solver with reutilization of LU factorizations for hh-adaptive finite element grids with point singularities. - Maciej Paszynski; David Pardo; Victor M. Calo (Comput. Math. Appl., 2013)

Domain decomposition Fourier finite element method for the simulation of 3D marine CSEM measurements. - Shaaban Ali Bakr; David Pardo; Trond Mannseth (J. Comput. Phys., 2013)

Preface. - Maciej Paszynski; Krzysztof Cetnarowicz; Robert Schaefer; David Pardo; Victor M. Calo (J. Comput. Sci., 2013)

Preventing deadlock during anisotropic 2D mesh adaptation in hp-adaptive FEM. - Arkadiusz Szymczak; Anna Paszynska; Maciej Paszynski; David Pardo (J. Comput. Sci., 2013)

The Cost of Continuity: Performance of Iterative Solvers on Isogeometric Finite Elements. - Nathan O. Collier; Lisandro Dalcín; David Pardo; Victor M. Calo (SIAM J. Sci. Comput., 2013)

A Variational Framework for Single Image Dehazing. - Adrian Galdran; Javier Vazquez-Corral; David Pardo; Marcelo Bertalmío (ECCV Workshops (3), 2014)

Automatically Adapted Perfectly Matched Layers for Problems with High Contrast Materials Properties. - Julen Álvarez-Aramberri; David Pardo; Helene Barucq (ICCS, 2014)

Computational cost estimates for parallel shared memory isogeometric multi-frontal solvers. - Maciej Wozniak; Krzysztof Kuznik; Maciej Paszynski; Victor M. Calo; David Pardo (Comput. Math. Appl., 2014)

3D hp-adaptive finite element simulations of bend, step, and magic-T electromagnetic waveguide structures. - I. Gómez-Revuelto; L. E. García-Castillo; S. Llorente-Romano; David Pardo (J. Comput. Sci., 2014)

Pectoral Muscle Segmentation in Mammograms Based on Cartoon-Texture Decomposition. - Adrian Galdran; Artzai Picón; Estíbaliz Garrote; David Pardo (IbPRIA, 2015)

Quantities of Interest for Surface based Resistivity Geophysical Measurements. - Julen Álvarez-Aramberri; Shaaban Ali Bakr; David Pardo; Helene Barucq (ICCS, 2015)

Multi-objective Hierarchic Memetic Solver for Inverse Parametric Problems. - Ewa Gajda-Zagórska; Maciej Smolka; Robert Schaefer; David Pardo; Julen Álvarez-Aramberri (ICCS, 2015)

An Agent-Oriented Hierarchic Strategy for Solving Inverse Problems. - Maciej Smolka; Robert Schaefer; Maciej Paszynski; David Pardo; Julen Álvarez-Aramberri (Int. J. Appl. Math. Comput. Sci., 2015)

A hybrid method for inversion of 3D AC resistivity logging measurements. - Maciej Smolka; Ewa Gajda-Zagórska; Robert Schaefer; Maciej Paszynski; David Pardo (Appl. Soft Comput., 2015)

Petri Nets Modeling of Dead-End Refinement Problems in a 3D Anisotropic hp-Adaptive Finite Element Method. - Arkadiusz Szymczak; Maciej Paszynski; David Pardo; Anna Paszynska (Comput. Informatics, 2015)

Goal-oriented adaptivity using unconventional error representations for the 1D Helmholtz equation. - Vincent Darrigrand; David Pardo; Ignacio Muga (Comput. Math. Appl., 2015)

Semi-analytical response of acoustic logging measurements in frequency domain. - Ignacio Muga; David Pardo; Pawel Jerzy Matuszyk; Carlos Torres-Verdín (Comput. Math. Appl., 2015)

Impact of element-level static condensation on iterative solver performance. - David Pardo; Julen Álvarez-Aramberri; Maciej Paszynski; Lisandro Dalcín; Victor M. Calo (Comput. Math. Appl., 2015)

Direct solvers performance on h-adapted grids. - Maciej Paszynski; David Pardo; Victor M. Calo (Comput. Math. Appl., 2015)

A secondary field based hp-Finite Element Method for the simulation of magnetotelluric measurements. - Julen Álvarez-Aramberri; David Pardo; Helene Barucq (J. Comput. Sci., 2015)

High-accuracy adaptive modeling of the energy distribution of a meniscus-shaped cell culture in a Petri dish. - Ignacio Gómez-Revuelto; Luis E. García-Castillo; David Pardo (J. Comput. Sci., 2015)

Automatic Red-Channel underwater image restoration. - Adrian Galdran; David Pardo; Artzai Picón; Aitor Alvarez-Gila (J. Vis. Commun. Image Represent., 2015)

A hybrid method for inversion of 3D DC resistivity logging measurements. - Ewa Gajda-Zagórska; Robert Schaefer; Maciej Smolka; Maciej Paszynski; David Pardo (Nat. Comput., 2015)

Enhanced Variational Image Dehazing. - Adrian Galdran; Javier Vazquez-Corral; David Pardo; Marcelo Bertalmío (SIAM J. Imaging Sci., 2015)

Image processing applications through a variational perceptually-based color correction related to Retinex. - Javier Vazquez-Corral; Syed Waqas Zamir; Adrian Galdran; David Pardo; Marcelo Bertalmío (Retinex at 50, 2016)

A Priori Fourier Analysis for 2.5D Finite Elements Simulations of Logging-while-drilling (LWD) Resistivity Measurements. - Ángel Rodríguez-Rozas; David Pardo (ICCS, 2016)

ICCS 2017 Workshop on Agent-Based Simulations, Adaptive Algorithms and Solvers. - Aleksander Byrski; Maciej Paszynski; Robert Schaefer; Victor M. Calo; David Pardo (ICCS, 2017)

Goal-Oriented p-Adaptivity using Unconventional Error Representations for a 1D Steady State Convection-Diffusion Problem. - Vincent Darrigrand; Ángel Rodríguez-Rozas; David Pardo; Ignacio Muga (ICCS, 2017)

Optimally refined isogeometric analysis. - Daniel García 002; Michael Barton; David Pardo (ICCS, 2017)

Dimensionally adaptive hp-finite element simulation and inversion of 2D magnetotelluric measurements. - Julen Álvarez-Aramberri; David Pardo (J. Comput. Sci., 2017)

A multi-objective memetic inverse solver reinforced by local optimization methods. - Ewa Gajda-Zagórska; Robert Schaefer; Maciej Smolka; David Pardo; Julen Álvarez-Aramberri (J. Comput. Sci., 2017)

Fusion-Based Variational Image Dehazing. - Adrian Galdran; Javier Vazquez-Corral; David Pardo; Marcelo Bertalmío (IEEE Signal Process. Lett., 2017)

Asymptotic models for the electric potential across a highly conductive casing. - A. Erdozain; Victor Péron; David Pardo (Comput. Math. Appl., 2018)

A Deep Learning Approach to the Inversion of Borehole Resistivity Measurements. - Mostafa Shahriari; David Pardo; Artzai Picón; Adrian Galdran; Javier Del Ser; Carlos Torres-Verdín (CoRR, 2018)

Finite Element Approximation of Electromagnetic Fields Using Nonfitting Meshes for Geophysics. - Théophile Chaumont-Frelet; Serge Nicaise; David Pardo (SIAM J. Numer. Anal., 2018)

Source time reversal (STR) method for linear elasticity. - Ignacio Brevis; Ángel Rodríguez-Rozas; Jaime H. Ortega; David Pardo (Comput. Math. Appl., 2019)

Parallel Refined Isogeometric Analysis in 3D. - Leszek Siwik; Maciej Wozniak; Victor Trujillo; David Pardo; Victor Manuel Calo; Maciej Paszynski (IEEE Trans. Parallel Distributed Syst., 2019)

Design of Loss Functions for Solving Inverse Problems Using Deep Learning. - Jon Ander Rivera; David Pardo; Elisabete Alberdi (ICCS (3), 2020)

Error Control and Loss Functions for the Deep Learning Inversion of Borehole Resistivity Measurements. - Mostafa Shahriari; David Pardo; J. A. Rivera; Carlos Torres-Verdín; Artzai Picón; Javier Del Ser; S. Ossandón; Victor M. Calo (CoRR, 2020)

Modeling extra-deep EM logs using a deep neural network. - Sergey Alyaev; Mostafa Shahriari; David Pardo; Angel Javier Omella; David Larsen; Nazanin Jahani; Erich Suter (CoRR, 2020)

Residual minimization for goal-oriented adaptivity. - Sergio Rojas; David Pardo; Pouria Behnoudfar; Victor M. Calo (CoRR, 2020)

Database Generation for Deep Learning Inversion of 2.5D Borehole Electromagnetic Measurements using Refined Isogeometric Analysis. - Ali Hashemian; Daniel García 002; Jon Ander Rivera; David Pardo (CoRR, 2020)

Refined isogeometric analysis for generalized Hermitian eigenproblems. - Ali Hashemian; David Pardo; Victor M. Calo (CoRR, 2020)

Deep Learning Driven Self-adaptive Hp Finite Element Method. - Maciej Paszynski; Rafal Wojciech Grzeszczuk; David Pardo; Leszek F. Demkowicz (ICCS (1), 2021)

Design of borehole resistivity measurement acquisition systems using deep learning. - Mostafa Shahriari; Arijit Hazra; David Pardo (CoRR, 2021)

On quadrature rules for solving Partial Differential Equations using Neural Networks. - Jon Ander Rivera; Jamie M. Taylor; Angel Javier Omella; David Pardo (CoRR, 2021)

Deep-Learning Inversion Method for the Interpretation of Noisy Logging-While-Drilling Resistivity Measurements. - Kyubo Noh; David Pardo; Carlos Torres-Verdín (CoRR, 2021)

Performance of Refined Isogeometric Analysis in Solving Quadratic Eigenvalue Problems. - Ali Hashemian; Daniel García 002; David Pardo; Victor M. Calo (CoRR, 2021)

Massive database generation for 2.5D borehole electromagnetic measurements using refined isogeometric analysis. - Ali Hashemian; Daniel García 002; Jon Ander Rivera; David Pardo (Comput. Geosci., 2021)

Equivalence between the DPG method and the exponential integrators for linear parabolic problems. - Judit Muñoz-Matute; David Pardo; Leszek F. Demkowicz (J. Comput. Phys., 2021)

1D Painless Multi-level Automatic Goal-Oriented h and p Adaptive Strategies Using a Pseudo-Dual Operator. - Felipe Vinicio Caro; Vincent Darrigrand; Julen Álvarez-Aramberri; Elisabete Alberdi Celaya; David Pardo (ICCS (1), 2022)

Automated machine learning for borehole resistivity measurements. - Mostafa Shahriari; David Pardo; S. Kargaran; Tomás Teijeiro (CoRR, 2022)

r-Adaptive Deep Learning Method for Solving Partial Differential Equations. - Angel Javier Omella; David Pardo (CoRR, 2022)

A Deep Fourier Residual Method for solving PDEs using Neural Networks. - Jamie M. Taylor; David Pardo; Ignacio Muga (CoRR, 2022)

A Deep Double Ritz Method (D2RM) for solving Partial Differential Equations using Neural Networks. - Carlos Uriarte; David Pardo; Ignacio Muga; Judit Muñoz-Matute (CoRR, 2022)

2.5-D Deep Learning Inversion of LWD and Deep-Sensing EM Measurements Across Formations With Dipping Faults. - Kyubo Noh; David Pardo; Carlos Torres-Verdín (IEEE Geosci. Remote. Sens. Lett., 2022)

A Multidirectional Deep Neural Network for Self-Supervised Reconstruction of Seismic Data. - Mohammad Mahdi Abedi; David Pardo (IEEE Trans. Geosci. Remote. Sens., 2022)

Memory-Based Monte Carlo Integration for Solving Partial Differential Equations Using Neural Networks. - Carlos Uriarte; Jamie M. Taylor; David Pardo; Oscar A. Rodríguez; Patrick Vega (ICCS (2), 2023)

Machine Learning Discovery of Optimal Quadrature Rules for Isogeometric Analysis. - Tomás Teijeiro; Jamie M. Taylor; Ali Hashemian; David Pardo (CoRR, 2023)

Robust Variational Physics-Informed Neural Networks. - Sergio Rojas; Pawel Maczuga; Judit Muñoz-Matute; David Pardo; Maciej Paszynski (CoRR, 2023)

An exponential integration generalized multiscale finite element method for parabolic problems. - Luis F. Contreras; David Pardo; Eduardo Abreu; Judit Muñoz-Matute; Ciro Díaz; Juan Galvis (J. Comput. Phys., 2023)

Fast parallel IGA-ADS solver for time-dependent Maxwell's equations. - Marcin Los; Maciej Wozniak; Keshav Pingali; Luis E. García-Castillo; Julen Álvarez-Aramberri; David Pardo; Maciej Paszynski (Comput. Math. Appl., 2023)

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)

Adaptive Deep Fourier Residual method via overlapping domain decomposition. - Jamie M. Taylor; Manuela Bastidas; Victor M. Calo; David Pardo (CoRR, 2024)

Residual-based Attention Physics-informed Neural Networks for Efficient Spatio-Temporal Lifetime Assessment of Transformers Operated in Renewable Power Plants. - Ibai Ramirez; Joel Pino; David Pardo; Mikel Sanz; Luis Del Rio; Alvaro Ortiz; Kateryna Morozovska; Jose Ignacio Aizpurua (CoRR, 2024)

A Least-Squares-Based Neural Network (LS-Net) for Solving Linear Parametric PDEs. - Shima Baharlouei; Jamie M. Taylor; Carlos Uriarte; David Pardo (CoRR, 2024)

Ensemble Deep Learning for Enhanced Seismic Data Reconstruction. - Mohammad Mahdi Abedi; David Pardo; Tariq Alkhalifah (IEEE Trans. Geosci. Remote. Sens., 2024)

r-Adaptive deep learning method for solving partial differential equations. - Angel Javier Omella; David Pardo (Comput. Math. Appl., 2024)

Optimizing Variational Physics-Informed Neural Networks Using Least Squares. - Carlos Uriarte; Manuela Bastidas; David Pardo; Jamie M. Taylor; Sergio Rojas (Comput. Math. Appl., 2025)

Residual-based attention Physics-informed Neural Networks for spatio-temporal ageing assessment of transformers operated in renewable power plants. - Ibai Ramirez; Joel Pino; David Pardo; Mikel Sanz; Luis Del Rio; Alvaro Ortiz; Kateryna Morozovska; Jose Ignacio Aizpurua (Eng. Appl. Artif. Intell., 2025)

Deep Fourier Residual method for solving time-harmonic Maxwell's equations. - Jamie M. Taylor; Manuela Bastidas; David Pardo; Ignacio Muga (J. Comput. Phys., 2025)

Regularity-conforming neural networks (ReCoNNs) for solving partial differential equations. - Jamie M. Taylor; David Pardo; Judit Muñoz-Matute (J. Comput. Phys., 2025)

Gabor-Enhanced Physics-Informed Neural Networks for Fast Simulations of Acoustic Wavefields. - Mohammad Mahdi Abedi; David Pardo; Tariq Alkhalifah (CoRR, 2025)

Stochastic Quadrature Rules for Solving PDEs using Neural Networks. - Jamie M. Taylor; David Pardo (CoRR, 2025)

Least-Squares-Embedded Optimization for Accelerated Convergence of PINNs in Acoustic Wavefield Simulations. - Mohammad Mahdi Abedi; David Pardo; Tariq Alkhalifah (CoRR, 2025)

An r-adaptive finite element method using neural networks for parametric self-adjoint elliptic problem. - Danilo Aballay; Federico Fuentes; Vicente Iligaray; Angel Javier Omella; David Pardo; Manuel A. Sánchez; Ignacio Tapia; Carlos Uriarte (CoRR, 2025)

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. - Tomás Teijeiro; Pouria Behnoudfar; Jamie M. Taylor; David Pardo; Victor M. Calo (CoRR, 2025)

Reducing spatial discretization error on coarse CFD simulations using an openFOAM-embedded deep learning framework. - Jesus Gonzalez-Sieiro; David Pardo; Vincenzo Nava; Victor M. Calo; Markus Towara (Eng. Comput., 2025)