David A. Barajas-Solano
Orcid: 0000-0003-1442-8086
According to our database1,
David A. Barajas-Solano
authored at least 21 papers
between 2015 and 2023.
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Bibliography
2023
Randomized Physics-Informed Machine Learning for Uncertainty Quantification in High-Dimensional Inverse Problems.
CoRR, 2023
Conditional Korhunen-Loéve regression model with Basis Adaptation for high-dimensional problems: uncertainty quantification and inverse modeling.
CoRR, 2023
Gaussian process regression and conditional Karhunen-Loéve models for data assimilation in inverse problems.
CoRR, 2023
2022
Stochastically Forced Ensemble Dynamic Mode Decomposition for Forecasting and Analysis of Near-Periodic Systems.
IEEE Access, 2022
2021
Multiscale Model. Simul., 2021
J. Comput. Phys., 2021
CoRR, 2021
2020
Conditional Karhunen-Loève expansion for uncertainty quantification and active learning in partial differential equation models.
J. Comput. Phys., 2020
Physics-Informed Gaussian Process Regression for Probabilistic States Estimation and Forecasting in Power Grids.
CoRR, 2020
CoRR, 2020
2019
Physics-informed CoKriging: A Gaussian-process-regression-based multifidelity method for data-model convergence.
J. Comput. Phys., 2019
Approximate Bayesian model inversion for PDEs with heterogeneous and state-dependent coefficients.
J. Comput. Phys., 2019
Physics-Informed Neural Networks for Multiphysics Data Assimilation with Application to Subsurface Transport.
CoRR, 2019
CoRR, 2019
CoRR, 2019
Proceedings of the Third IEEE/ACM Workshop on Deep Learning on Supercomputers, 2019
2018
Probability and Cumulative Density Function Methods for the Stochastic Advection-Reaction Equation.
SIAM/ASA J. Uncertain. Quantification, 2018
2016
Hybrid Multiscale Finite Volume Method for Advection-Diffusion Equations Subject to Heterogeneous Reactive Boundary Conditions.
Multiscale Model. Simul., 2016
Stochastic Collocation Methods for Nonlinear Parabolic Equations with Random Coefficients.
SIAM/ASA J. Uncertain. Quantification, 2016
2015
Probabilistic Density Function Method for Stochastic ODEs of Power Systems with Uncertain Power Input.
SIAM/ASA J. Uncertain. Quantification, 2015