David Pardo

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 62

Top Venues

Publications

Jesus Gonzalez-Sieiro, David Pardo, Vincenzo Nava, Victor M. Calo, Markus Towara
Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Framework. CoRR (2024)
Angel Javier Omella, David Pardo
-Adaptive deep learning method for solving partial differential equations. Comput. Math. Appl. 153 (2024)
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)
Jamie M. Taylor, David Pardo, Judit Muñoz-Matute
Regularity-Conforming Neural Networks (ReCoNNs) for solving Partial Differential Equations. CoRR (2024)
Mohammad Mahdi Abedi, David Pardo, Tariq Alkhalifah
Ensemble Deep Learning for Enhanced Seismic Data Reconstruction. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Carlos Uriarte, Manuela Bastidas, David Pardo, Jamie M. Taylor, Sergio Rojas
Optimizing Variational Physics-Informed Neural Networks Using Least Squares. CoRR (2024)
Jamie M. Taylor, Manuela Bastidas, Victor M. Calo, David Pardo
Adaptive Deep Fourier Residual method via overlapping domain decomposition. CoRR (2024)
Ibai Ramirez, Joel Pino, David Pardo, Mikel Sanz, Luis Del Rio, Alvaro Ortiz, Kateryna Morozovska, Jose Ignacio Aizpurua
Residual-based Attention Physics-informed Neural Networks for Efficient Spatio-Temporal Lifetime Assessment of Transformers Operated in Renewable Power Plants. CoRR (2024)
Carlos Uriarte, Jamie M. Taylor, David Pardo, Oscar A. Rodríguez, Patrick Vega
Memory-Based Monte Carlo Integration for Solving Partial Differential Equations Using Neural Networks. ICCS (2) (2023)
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)
Jamie M. Taylor, Manuela Bastidas, David Pardo, Ignacio Muga
Deep Fourier Residual method for solving time-harmonic Maxwell's equations. CoRR (2023)
Luis F. Contreras, David Pardo, Eduardo Abreu, Judit Muñoz-Matute, Ciro Díaz, Juan Galvis
An exponential integration generalized multiscale finite element method for parabolic problems. J. Comput. Phys. 479 (2023)
Sergio Rojas, Pawel Maczuga, Judit Muñoz-Matute, David Pardo, Maciej Paszynski
Robust Variational Physics-Informed Neural Networks. CoRR (2023)
Tomás Teijeiro, Jamie M. Taylor, Ali Hashemian, David Pardo
Machine Learning Discovery of Optimal Quadrature Rules for Isogeometric Analysis. CoRR (2023)
Marcin Los, Maciej Wozniak, Keshav Pingali, Luis E. García-Castillo, Julen Álvarez-Aramberri, David Pardo, Maciej Paszynski
Fast parallel IGA-ADS solver for time-dependent Maxwell's equations. Comput. Math. Appl. 151 (2023)
Carlos Uriarte, David Pardo, Ignacio Muga, Judit Muñoz-Matute
A Deep Double Ritz Method for solving Partial Differential Equations. CoRR (2022)
Mohammad Mahdi Abedi, David Pardo
A Multidirectional Deep Neural Network for Self-Supervised Reconstruction of Seismic Data. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Kyubo Noh, David Pardo, Carlos Torres-Verdín
2.5-D Deep Learning Inversion of LWD and Deep-Sensing EM Measurements Across Formations With Dipping Faults. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Angel Javier Omella, David Pardo
r-Adaptive Deep Learning Method for Solving Partial Differential Equations. CoRR (2022)
Felipe Vinicio Caro, Vincent Darrigrand, Julen Álvarez-Aramberri, Elisabete Alberdi Celaya, David Pardo
1D Painless Multi-level Automatic Goal-Oriented h and p Adaptive Strategies Using a Pseudo-Dual Operator. ICCS (1) (2022)
Jamie M. Taylor, David Pardo, Ignacio Muga
A Deep Fourier Residual Method for solving PDEs using Neural Networks. CoRR (2022)
Ali Hashemian, Daniel Garcia, David Pardo, Victor M. Calo
Performance of Refined Isogeometric Analysis in Solving Quadratic Eigenvalue Problems. CoRR (2021)
Ali Hashemian, Daniel Garcia, Jon Ander Rivera, David Pardo
Massive database generation for 2.5D borehole electromagnetic measurements using refined isogeometric analysis. Comput. Geosci. 155 (2021)
Judit Muñoz-Matute, David Pardo, Leszek F. Demkowicz
Equivalence between the DPG method and the exponential integrators for linear parabolic problems. J. Comput. Phys. 429 (2021)
Mostafa Shahriari, Arijit Hazra, David Pardo
Design of borehole resistivity measurement acquisition systems using deep learning. CoRR (2021)
Maciej Paszynski, Rafal Wojciech Grzeszczuk, David Pardo, Leszek F. Demkowicz
Deep Learning Driven Self-adaptive Hp Finite Element Method. ICCS (1) (2021)
Kyubo Noh, David Pardo, Carlos Torres-Verdín
Deep-Learning Inversion Method for the Interpretation of Noisy Logging-While-Drilling Resistivity Measurements. CoRR (2021)
Jon Ander Rivera, Jamie M. Taylor, Angel Javier Omella, David Pardo
On quadrature rules for solving Partial Differential Equations using Neural Networks. CoRR (2021)
Ali Hashemian, David Pardo, Victor M. Calo
Refined isogeometric analysis for generalized Hermitian eigenproblems. CoRR (2020)
Sergey Alyaev, Mostafa Shahriari, David Pardo, Angel Javier Omella, David Larsen, Nazanin Jahani, Erich Suter
Modeling extra-deep EM logs using a deep neural network. CoRR (2020)
Ali Hashemian, Daniel Garcia, Jon Ander Rivera, David Pardo
Database Generation for Deep Learning Inversion of 2.5D Borehole Electromagnetic Measurements using Refined Isogeometric Analysis. CoRR (2020)
Jon Ander Rivera, David Pardo, Elisabete Alberdi
Design of Loss Functions for Solving Inverse Problems Using Deep Learning. ICCS (3) (2020)
Mostafa Shahriari, David Pardo, J. A. Rivera, Carlos Torres-Verdín, Artzai Picón, Javier Del Ser, S. Ossandón, Victor M. Calo
Error Control and Loss Functions for the Deep Learning Inversion of Borehole Resistivity Measurements. CoRR (2020)
Sergio Rojas, David Pardo, Pouria Behnoudfar, Victor M. Calo
Residual minimization for goal-oriented adaptivity. CoRR (2020)
Leszek Siwik, Maciej Wozniak, Victor Trujillo, David Pardo, Victor Manuel Calo, Maciej Paszynski
Parallel Refined Isogeometric Analysis in 3D. IEEE Trans. Parallel Distributed Syst. 30 (5) (2019)
Ignacio Brevis, Ángel Rodríguez-Rozas, Jaime H. Ortega, David Pardo
Source time reversal (STR) method for linear elasticity. Comput. Math. Appl. 77 (5) (2019)
Théophile Chaumont-Frelet, Serge Nicaise, David Pardo
Finite Element Approximation of Electromagnetic Fields Using Nonfitting Meshes for Geophysics. SIAM J. Numer. Anal. 56 (4) (2018)
Mostafa Shahriari, David Pardo, Artzai Picón, Adrian Galdran, Javier Del Ser, Carlos Torres-Verdín
A Deep Learning Approach to the Inversion of Borehole Resistivity Measurements. CoRR (2018)
A. Erdozain, Victor Péron, David Pardo
Asymptotic models for the electric potential across a highly conductive casing. Comput. Math. Appl. 76 (8) (2018)
Ewa Gajda-Zagórska, Robert Schaefer, Maciej Smolka, David Pardo, Julen Álvarez-Aramberri
A multi-objective memetic inverse solver reinforced by local optimization methods. J. Comput. Sci. 18 (2017)
Julen Álvarez-Aramberri, David Pardo
Dimensionally adaptive hp-finite element simulation and inversion of 2D magnetotelluric measurements. J. Comput. Sci. 18 (2017)
Adrian Galdran, Javier Vazquez-Corral, David Pardo, Marcelo Bertalmío
Fusion-Based Variational Image Dehazing. IEEE Signal Process. Lett. 24 (2) (2017)
Vincent Darrigrand, Ángel Rodríguez-Rozas, David Pardo, Ignacio Muga
Goal-Oriented p-Adaptivity using Unconventional Error Representations for a 1D Steady State Convection-Diffusion Problem. ICCS (2017)
Aleksander Byrski, Maciej Paszynski, Robert Schaefer, Victor M. Calo, David Pardo
ICCS 2017 Workshop on Agent-Based Simulations, Adaptive Algorithms and Solvers. ICCS (2017)
Daniel Garcia, Michael Barton, David Pardo
Optimally refined isogeometric analysis. ICCS (2017)
Ángel Rodríguez-Rozas, David Pardo
A Priori Fourier Analysis for 2.5D Finite Elements Simulations of Logging-while-drilling (LWD) Resistivity Measurements. ICCS (2016)
Javier Vazquez-Corral, Syed Waqas Zamir, Adrian Galdran, David Pardo, Marcelo Bertalmío
Image processing applications through a variational perceptually-based color correction related to Retinex. Retinex at 50 (2016)
Maciej Smolka, Robert Schaefer, Maciej Paszynski, David Pardo, Julen Álvarez-Aramberri
An Agent-Oriented Hierarchic Strategy for Solving Inverse Problems. Int. J. Appl. Math. Comput. Sci. 25 (3) (2015)
Julen Álvarez-Aramberri, David Pardo, Helene Barucq
A secondary field based hp-Finite Element Method for the simulation of magnetotelluric measurements. J. Comput. Sci. 11 (2015)
David Pardo, Julen Álvarez-Aramberri, Maciej Paszynski, Lisandro Dalcín, Victor M. Calo
Impact of element-level static condensation on iterative solver performance. Comput. Math. Appl. 70 (10) (2015)
Adrian Galdran, David Pardo, Artzai Picón, Aitor Alvarez-Gila
Automatic Red-Channel underwater image restoration. J. Vis. Commun. Image Represent. 26 (2015)
Arkadiusz Szymczak, Maciej Paszynski, David Pardo, Anna Paszynska
Petri Nets Modeling of Dead-End Refinement Problems in a 3D Anisotropic hp-Adaptive Finite Element Method. Comput. Informatics 34 (2) (2015)
Ewa Gajda-Zagórska, Robert Schaefer, Maciej Smolka, Maciej Paszynski, David Pardo
A hybrid method for inversion of 3D DC resistivity logging measurements. Nat. Comput. 14 (3) (2015)
Maciej Smolka, Ewa Gajda-Zagórska, Robert Schaefer, Maciej Paszynski, David Pardo
A hybrid method for inversion of 3D AC resistivity logging measurements. Appl. Soft Comput. 36 (2015)
Vincent Darrigrand, David Pardo, Ignacio Muga
Goal-oriented adaptivity using unconventional error representations for the 1D Helmholtz equation. Comput. Math. Appl. 69 (9) (2015)
Julen Álvarez-Aramberri, Shaaban Ali Bakr, David Pardo, Helene Barucq
Quantities of Interest for Surface based Resistivity Geophysical Measurements. ICCS (2015)
Ignacio Muga, David Pardo, Pawel Jerzy Matuszyk, Carlos Torres-Verdín
Semi-analytical response of acoustic logging measurements in frequency domain. Comput. Math. Appl. 70 (4) (2015)
Adrian Galdran, Artzai Picón, Estíbaliz Garrote, David Pardo
Pectoral Muscle Segmentation in Mammograms Based on Cartoon-Texture Decomposition. IbPRIA (2015)
Ewa Gajda-Zagórska, Maciej Smolka, Robert Schaefer, David Pardo, Julen Álvarez-Aramberri
Multi-objective Hierarchic Memetic Solver for Inverse Parametric Problems. ICCS (2015)
Ignacio Gómez-Revuelto, Luis E. García-Castillo, David Pardo
High-accuracy adaptive modeling of the energy distribution of a meniscus-shaped cell culture in a Petri dish. J. Comput. Sci. 9 (2015)
Adrian Galdran, Javier Vazquez-Corral, David Pardo, Marcelo Bertalmío
Enhanced Variational Image Dehazing. SIAM J. Imaging Sci. 8 (3) (2015)
Maciej Paszynski, David Pardo, Victor M. Calo
Direct solvers performance on h-adapted grids. Comput. Math. Appl. 70 (3) (2015)
I. Gómez-Revuelto, L. E. García-Castillo, S. Llorente-Romano, David Pardo
3D hp-adaptive finite element simulations of bend, step, and magic-T electromagnetic waveguide structures. J. Comput. Sci. 5 (2) (2014)
Julen Álvarez-Aramberri, David Pardo, Helene Barucq
Automatically Adapted Perfectly Matched Layers for Problems with High Contrast Materials Properties. ICCS (2014)
Maciej Wozniak, Krzysztof Kuznik, Maciej Paszynski, Victor M. Calo, David Pardo
Computational cost estimates for parallel shared memory isogeometric multi-frontal solvers. Comput. Math. Appl. 67 (10) (2014)
Adrian Galdran, Javier Vazquez-Corral, David Pardo, Marcelo Bertalmío
A Variational Framework for Single Image Dehazing. ECCV Workshops (3) (2014)
Julen Álvarez-Aramberri, David Pardo, Helene Barucq
Inversion of Magnetotelluric Measurements Using Multigoal Oriented hp-Adaptivity. ICCS (2013)
Nathan O. Collier, Lisandro Dalcín, David Pardo, Victor M. Calo
The Cost of Continuity: Performance of Iterative Solvers on Isogeometric Finite Elements. SIAM J. Sci. Comput. 35 (2) (2013)
Shaaban Ali Bakr, David Pardo, Trond Mannseth
Domain decomposition Fourier finite element method for the simulation of 3D marine CSEM measurements. J. Comput. Phys. 255 (2013)
Maciej Paszynski, Krzysztof Cetnarowicz, Robert Schaefer, David Pardo, Victor M. Calo
Preface. J. Comput. Sci. 4 (3) (2013)
Ewa Gajda-Zagórska, Maciej Paszynski, Robert Schaefer, David Pardo
hp-HGS strategy for inverse AC/DC resistivity logging measurement simulations. Comput. Sci. 14 (4) (2013)
Arkadiusz Szymczak, Anna Paszynska, Maciej Paszynski, David Pardo
Preventing deadlock during anisotropic 2D mesh adaptation in hp-adaptive FEM. J. Comput. Sci. 4 (3) (2013)
I. Gómez-Revuelto, L. E. García-Castillo, David Pardo
High-Accuracy Adaptive Simulations of a Petri Dish Exposed to Electromagnetic Radiation. ICCS (2013)
Maciej Paszynski, David Pardo, Victor M. Calo
h-adaptive finite element grids with point singularities. Comput. Math. Appl. 65 (8) (2013)
Nathan O. Collier, David Pardo, Maciej Paszynski, Victor M. Calo
Computational complexity and memory usage for multi-frontal direct solvers in structured mesh finite elements CoRR (2012)
Ewa Gajda-Zagórska, Maciej Paszynski, Robert Schaefer, David Pardo, Victor M. Calo
hp-HGS strategy for inverse 3D DC resistivity logging measurement simulations. ICCS (2012)
I. Gómez-Revuelto, L. E. García-Castillo, S. Llorente-Romano, David Pardo
3D hp-Adaptive Finite Element Simulations of a Magic-T Electromagnetic Waveguide Structure. ICCS (2012)
Maciej Paszynski, Victor M. Calo, David Pardo
A direct solver with reutilization of previously-computed LU factorizations for h-adaptive finite element grids with point singularities CoRR (2012)
Anna Paszynska, Maciej Paszynski, Arkadiusz Szymczak, David Pardo
Petri Nets for Detecting a 3D Deadlock Problem in Hp-adaptive Finite Element Simulations. ICCS (2012)
Julen Álvarez-Aramberri, David Pardo, Maciej Paszynski, Nathan O. Collier, Lisandro Dalcín, Victor M. Calo
On Round-off Error for Adaptive Finite Element Methods. ICCS (2012)
Gorka Garate, E. G. Vadillo, Javier Santamaria, David Pardo
Solution of the 3D-Helmholtz equation in exterior domains using spherical harmonic decomposition. Comput. Math. Appl. 64 (8) (2012)
Nathan O. Collier, Lisandro Dalcín, David Pardo, Victor M. Calo
The cost of continuity: performance of iterative solvers on isogeometric finite elements CoRR (2012)
Arkadiusz Szymczak, Anna Paszynska, Maciej Paszynski, David Pardo
Anisotropic 2D mesh adaptation in hp-adaptive FEM. ICCS (2011)
David Pardo, Pawel Jerzy Matuszyk, Ignacio Muga, Carlos Torres-Verdín, Angel Mora, Victor M. Calo
Simulation of wireline sonic logging measurements acquired with Borehole-Eccentered tools using a high-order adaptive finite-element method. J. Comput. Phys. 230 (16) (2011)
Maciej Paszynski, David Pardo, Anna Paszynska, Leszek F. Demkowicz
Out-of-core multi-frontal solver for multi-physics hp adaptive problems. ICCS (2011)
Victor M. Calo, Nathan O. Collier, David Pardo, Maciej Paszynski
Computational complexity and memory usage for multi-frontal direct solvers used in p finite element analysis. ICCS (2011)
Maciej Paszynski, Tomasz Jurczyk, David Pardo
Multi-frontal Solver for Simulations of Linear Elasticity coupled with Acoustics. Comput. Sci. 12 (2011)
Victor M. Calo, David Pardo, Maciej Paszynski
Goal-Oriented Self-Adaptive hp Finite Element Simulation of 3D DC Borehole Resistivity Simulations. ICCS (2011)
J. Zitelli, Ignacio Muga, Leszek F. Demkowicz, Jayadeep Gopalakrishnan, David Pardo, Victor M. Calo
A class of discontinuous Petrov-Galerkin methods. Part IV: The optimal test norm and time-harmonic wave propagation in 1D. J. Comput. Phys. 230 (7) (2011)
Qing Chen, David Pardo, Hongbin Li, Furong Wang, Qi-zheng Ye
Arithmetic Method of Double-Injection-Electrode Model for Resistivity Measurement Through Metal Casing. IEEE Trans. Geosci. Remote. Sens. 48 (1-1) (2010)
Maciej Paszynski, David Pardo, Anna Paszynska
Parallel multi-frontal solver for multi-physics p adaptive problems. ICCS (1) (2010)
Krzysztof Cetnarowicz, Maciej Paszynski, David Pardo, Tibor Bosse, Han La Poutré
Agent-based computing, adaptive algorithms and bio computing. ICCS (1) (2010)
Arkadiusz Szymczak, Maciej Paszynski, David Pardo
Graph Grammar Based Petri Net Controlled Direct Solver Algorithm. Comput. Sci. 11 (2010)
David Pardo
Multigoal-oriented adaptivity for hp-finite element methods. ICCS (1) (2010)
Maciej Paszynski, David Pardo, Carlos Torres-Verdín, Leszek F. Demkowicz, Victor M. Calo
A parallel direct solver for the self-adaptive hp Finite Element Method. J. Parallel Distributed Comput. 70 (3) (2010)
Maciej Paszynski, David Pardo, Anna Paszynska
Parallel multi-frontal solver for p adaptive finite element modeling of multi-physics computational problems. J. Comput. Sci. 1 (1) (2010)
David Pardo, Leszek F. Demkowicz, Carlos Torres-Verdín, C. Michler
PML Enhanced with a Self-Adaptive Goal-Oriented hp-Finite Element Method: Simulation of Through-Casing Borehole Resistivity Measurements. SIAM J. Sci. Comput. 30 (6) (2008)
David Pardo, Carlos Torres-Verdín, Leszek F. Demkowicz
Simulation of multifrequency borehole resistivity measurements through metal casing using a goal-oriented hp finite-element method. IEEE Trans. Geosci. Remote. Sens. 44 (8) (2006)
David Pardo, Leszek F. Demkowicz, Carlos Torres-Verdín, Maciej Paszynski
Two-Dimensional High-Accuracy Simulation of Resistivity Logging-While-Drilling (LWD) Measurements Using a Self-Adaptive Goal-Oriented hp Finite Element Method. SIAM J. Appl. Math. 66 (6) (2006)
Maciej Paszynski, David Pardo, Leszek F. Demkowicz, Carlos Torres-Verdín
Parallel hp-Finite Element Simulations of 3D Resistivity Logging Instruments. ISPE CE (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

David Pardo