Dimitrios Loukrezis

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 25

Top Topics

Electromagnetic Field

Unsupervised Learning

Top Venues

J. Comput. Phys.

Publications

Dimitris G. Giovanis, Dimitrios Loukrezis, Ioannis G. Kevrekidis, Michael D. Shields
Polynomial Chaos Expansions on Principal Geodesic Grassmannian Submanifolds for Surrogate Modeling and Uncertainty Quantification. CoRR (2024)
Armin Galetzka, Dimitrios Loukrezis, Herbert De Gersem
Data-driven Modified Nodal Analysis Circuit Solver. CoRR (2023)
Dimitrios Tsapetis, Michael D. Shields, Dimitris G. Giovanis, Audrey Olivier, Lukás Novák, Promit Chakroborty, Himanshu Sharma, Mohit Chauhan, Katiana Kontolati, Lohit Vandanapu, Dimitrios Loukrezis, Michael Gardner
UQpy v4.1: Uncertainty Quantification with Python. CoRR (2023)
Dimitrios Loukrezis, Eric Diehl, Herbert De Gersem
Multivariate sensitivity adaptive polynomial chaos expansion for vector valued surrogate modeling. CoRR (2023)
Moritz von Tresckow, Herbert De Gersem, Dimitrios Loukrezis
Error Approximation and Bias Correction in Dynamic Problems using a Recurrent Neural Network/Finite Element Hybrid Model. CoRR (2023)
Dimitrios Tsapetis, Michael D. Shields, Dimitris G. Giovanis, Audrey Olivier, Lukás Novák, Promit Chakroborty, Himanshu Sharma, Mohit Chauhan, Katiana Kontolati, Lohit Vandanapu, Dimitrios Loukrezis, Michael Gardner
UQpy v4.1: Uncertainty quantification with Python. SoftwareX 24 (2023)
Ion Gabriel Ion, Dimitrios Loukrezis, Herbert De Gersem
Tensor train based isogeometric analysis for PDE approximation on parameter dependent geometries. CoRR (2022)
Katiana Kontolati, Dimitrios Loukrezis, Dimitrios G. Giovanis, Lohit Vandanapu, Michael D. Shields
A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems. CoRR (2022)
Armin Galetzka, Dimitrios Loukrezis, Niklas Georg, Herbert De Gersem, Ulrich Römer
An hp-adaptive multi-element stochastic collocation method for surrogate modeling with information re-use. CoRR (2022)
Eric Diehl, Moritz von Tresckow, Lou Scholtissek, Dimitrios Loukrezis, Nicolas Marsic, Wolfgang F. O. Müller, Herbert De Gersem
Quadrupole Magnet Design based on Genetic Multi-Objective Optimization. CoRR (2022)
Katiana Kontolati, Dimitrios Loukrezis, Dimitrios G. Giovanis, Lohit Vandanapu, Michael D. Shields
A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems. J. Comput. Phys. 464 (2022)
Dimitrios Loukrezis, Herbert De Gersem
Power Module Heat Sink Design Optimization with Data-Driven Polynomial Chaos Surrogate Models. CoRR (2022)
Armin Galetzka, Dimitrios Loukrezis, Herbert De Gersem
Three-Dimensional Data-Driven Electromagnetic Field Simulation using Real World Measurement Data. CoRR (2021)
Ion Gabriel Ion, Christian Wildner, Dimitrios Loukrezis, Heinz Koeppl, Herbert De Gersem
Tensor-train approximation of the chemical master equation and its application for parameter inference. CoRR (2021)
Moritz von Tresckow, Stefan Kurz, Herbert De Gersem, Dimitrios Loukrezis
A Neural Solver for Variational Problems on CAD Geometries with Application to Electric Machine Simulation. CoRR (2021)
Katiana Kontolati, Dimitrios Loukrezis, Ketson R. M. dos Santos, Dimitrios G. Giovanis, Michael D. Shields
Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models. CoRR (2021)
Herbert De Gersem, Armin Galetzka, Ion Gabriel Ion, Dimitrios Loukrezis, Ulrich Römer
Magnetic Field Simulation with Data-Driven Material Modeling. CoRR (2020)
Armin Galetzka, Dimitrios Loukrezis, Herbert De Gersem
Data-Driven Solvers for Strongly Nonlinear Material Response. CoRR (2020)
Dimitrios Loukrezis, Herbert De Gersem
Approximation and Uncertainty Quantification of Systems with Arbitrary Parameter Distributions Using Weighted Leja Interpolation. Algorithms 13 (3) (2020)
Dimitrios Loukrezis, Armin Galetzka, Herbert De Gersem
Robust Adaptive Least Squares Polynomial Chaos Expansions in High-Frequency Applications. CoRR (2019)
Dimitrios Loukrezis, Herbert De Gersem
Approximation and Uncertainty Quantification of Stochastic Systems with Arbitrary Input Distributions using Weighted Leja Interpolation. CoRR (2019)
Dimitrios Loukrezis, Herbert De Gersem
Adaptive Sparse Polynomial Chaos Expansions via Leja Interpolation. CoRR (2019)
Niklas Georg, Dimitrios Loukrezis, Ulrich Römer, Sebastian Schöps
Uncertainty quantification for an optical grating coupler with an adjoint-based Leja adaptive collocation method. CoRR (2018)
Dimitrios Loukrezis, Ulrich Römer, Herbert De Gersem
Numerical Comparison of Leja and Clenshaw-Curtis Dimension-Adaptive Collocation for Stochastic Parametric Electromagnetic Field Problems. CoRR (2017)
Dimitrios Loukrezis, Ulrich Römer, Thorben Casper, Sebastian Schöps, Herbert De Gersem
High Dimensional Uncertainty Quantification for an Electrothermal Field Problem using Stochastic Collocation on Sparse Grids and Tensor Train Decomposition. CoRR (2016)