Dimitrios Loukrezis
Orcid: 0000-0003-1264-1182
According to our database1,
Dimitrios Loukrezis
authored at least 23 papers
between 2016 and 2024.
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Bibliography
2024
Polynomial Chaos Expansions on Principal Geodesic Grassmannian Submanifolds for Surrogate Modeling and Uncertainty Quantification.
CoRR, 2024
2023
Multivariate sensitivity adaptive polynomial chaos expansion for vector valued surrogate modeling.
CoRR, 2023
Error Approximation and Bias Correction in Dynamic Problems using a Recurrent Neural Network/Finite Element Hybrid Model.
CoRR, 2023
2022
A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems.
J. Comput. Phys., 2022
An hp-adaptive multi-element stochastic collocation method for surrogate modeling with information re-use.
CoRR, 2022
Power Module Heat Sink Design Optimization with Data-Driven Polynomial Chaos Surrogate Models.
CoRR, 2022
Tensor train based isogeometric analysis for PDE approximation on parameter dependent geometries.
CoRR, 2022
2021
A Neural Solver for Variational Problems on CAD Geometries with Application to Electric Machine Simulation.
CoRR, 2021
Three-Dimensional Data-Driven Electromagnetic Field Simulation using Real World Measurement Data.
CoRR, 2021
Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models.
CoRR, 2021
Tensor-train approximation of the chemical master equation and its application for parameter inference.
CoRR, 2021
2020
Approximation and Uncertainty Quantification of Systems with Arbitrary Parameter Distributions Using Weighted Leja Interpolation.
Algorithms, 2020
2019
Robust Adaptive Least Squares Polynomial Chaos Expansions in High-Frequency Applications.
CoRR, 2019
Approximation and Uncertainty Quantification of Stochastic Systems with Arbitrary Input Distributions using Weighted Leja Interpolation.
CoRR, 2019
2018
Uncertainty quantification for an optical grating coupler with an adjoint-based Leja adaptive collocation method.
CoRR, 2018
2017
Numerical Comparison of Leja and Clenshaw-Curtis Dimension-Adaptive Collocation for Stochastic Parametric Electromagnetic Field Problems.
CoRR, 2017
2016
High Dimensional Uncertainty Quantification for an Electrothermal Field Problem using Stochastic Collocation on Sparse Grids and Tensor Train Decomposition.
CoRR, 2016