Dimitrios Loukrezis

31 papers Journal 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Maximum-Projection-Based Bayesian Optimization Utilizing Sensitivity Analysis for High-Efficiency Radial Turbine Design with Scarce Data. CoRR Eric Diehl, Adem Tosun, Dimitrios Loukrezis
2025	J	`jnl`	Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design. Eng. Comput. Aylar Partovizadeh, Sebastian Schöps, Dimitrios Loukrezis
2025	J	`jnl`	Multi-patch isogeometric neural solver for partial differential equations on computer-aided design domains. CoRR Moritz von Tresckow, Ion Gabriel Ion, Dimitrios Loukrezis
2025	J	`jnl`	Multivariate Sensitivity Analysis of Electric Machine Efficiency Maps and Profiles Under Design Uncertainty. CoRR Aylar Partovizadeh, Sebastian Schöps, Dimitrios Loukrezis
2024	J	`jnl`	Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design. CoRR Aylar Partovizadeh, Sebastian Schöps, Dimitrios Loukrezis
2024	J	`jnl`	Polynomial Chaos Expansions on Principal Geodesic Grassmannian Submanifolds for Surrogate Modeling and Uncertainty Quantification. CoRR Dimitris G. Giovanis, Dimitrios Loukrezis, Ioannis G. Kevrekidis, Michael D. Shields
2024	J	`jnl`	Polynomial chaos expansions on principal geodesic Grassmannian submanifolds for surrogate modeling and uncertainty quantification. J. Comput. Phys. Dimitris G. Giovanis, Dimitrios Loukrezis, Ioannis G. Kevrekidis, Michael D. Shields
2023	J	`jnl`	Data-driven Modified Nodal Analysis Circuit Solver. CoRR Armin Galetzka, Dimitrios Loukrezis, Herbert De Gersem
2023	J	`jnl`	Error Approximation and Bias Correction in Dynamic Problems using a Recurrent Neural Network/Finite Element Hybrid Model. CoRR Moritz von Tresckow, Herbert De Gersem, Dimitrios Loukrezis
2023	J	`jnl`	Multivariate sensitivity adaptive polynomial chaos expansion for vector valued surrogate modeling. CoRR Dimitrios Loukrezis, Eric Diehl, Herbert De Gersem
2023	J	`jnl`	UQpy v4.1: Uncertainty Quantification with Python. CoRR Dimitrios Tsapetis, Michael D. Shields, Dimitris G. Giovanis, Audrey Olivier, Lukás Novák, Promit Chakroborty, Himanshu Sharma, Mohit Singh Chauhan, Katiana Kontolati, Lohit Vandanapu, Dimitrios Loukrezis, Michael Gardner
2023	J	`jnl`	UQpy v4.1: Uncertainty quantification with Python. SoftwareX Dimitrios Tsapetis, Michael D. Shields, Dimitris G. Giovanis, Audrey Olivier, Lukás Novák, Promit Chakroborty, Himanshu Sharma, Mohit Singh Chauhan, Katiana Kontolati, Lohit Vandanapu, Dimitrios Loukrezis, Michael Gardner
2022	J	`jnl`	A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems. CoRR Katiana Kontolati, Dimitrios Loukrezis, Dimitrios G. Giovanis, Lohit Vandanapu, Michael D. Shields
2022	J	`jnl`	A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems. J. Comput. Phys. Katiana Kontolati, Dimitrios Loukrezis, Dimitrios G. Giovanis, Lohit Vandanapu, Michael D. Shields
2022	J	`jnl`	An hp-adaptive multi-element stochastic collocation method for surrogate modeling with information re-use. CoRR Armin Galetzka, Dimitrios Loukrezis, Niklas Georg, Herbert De Gersem, Ulrich Römer
2022	J	`jnl`	Power Module Heat Sink Design Optimization with Data-Driven Polynomial Chaos Surrogate Models. CoRR Dimitrios Loukrezis, Herbert De Gersem
2022	J	`jnl`	Quadrupole Magnet Design based on Genetic Multi-Objective Optimization. CoRR Eric Diehl, Moritz von Tresckow, Lou Scholtissek, Dimitrios Loukrezis, Nicolas Marsic, Wolfgang F. O. Müller, Herbert De Gersem
2022	J	`jnl`	Tensor train based isogeometric analysis for PDE approximation on parameter dependent geometries. CoRR Ion Gabriel Ion, Dimitrios Loukrezis, Herbert De Gersem
2021	J	`jnl`	A Neural Solver for Variational Problems on CAD Geometries with Application to Electric Machine Simulation. CoRR Moritz von Tresckow, Stefan Kurz, Herbert De Gersem, Dimitrios Loukrezis
2021	J	`jnl`	Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models. CoRR Katiana Kontolati, Dimitrios Loukrezis, Ketson R. M. dos Santos, Dimitrios G. Giovanis, Michael D. Shields
2021	J	`jnl`	Tensor-train approximation of the chemical master equation and its application for parameter inference. CoRR Ion Gabriel Ion, Christian Wildner, Dimitrios Loukrezis, Heinz Koeppl, Herbert De Gersem
2021	J	`jnl`	Three-Dimensional Data-Driven Electromagnetic Field Simulation using Real World Measurement Data. CoRR Armin Galetzka, Dimitrios Loukrezis, Herbert De Gersem
2020	J	`jnl`	Approximation and Uncertainty Quantification of Systems with Arbitrary Parameter Distributions Using Weighted Leja Interpolation. Algorithms Dimitrios Loukrezis, Herbert De Gersem
2020	J	`jnl`	Data-Driven Solvers for Strongly Nonlinear Material Response. CoRR Armin Galetzka, Dimitrios Loukrezis, Herbert De Gersem
2020	J	`jnl`	Magnetic Field Simulation with Data-Driven Material Modeling. CoRR Herbert De Gersem, Armin Galetzka, Ion Gabriel Ion, Dimitrios Loukrezis, Ulrich Römer
2019	J	`jnl`	Adaptive Sparse Polynomial Chaos Expansions via Leja Interpolation. CoRR Dimitrios Loukrezis, Herbert De Gersem
2019	J	`jnl`	Approximation and Uncertainty Quantification of Stochastic Systems with Arbitrary Input Distributions using Weighted Leja Interpolation. CoRR Dimitrios Loukrezis, Herbert De Gersem
2019	J	`jnl`	Robust Adaptive Least Squares Polynomial Chaos Expansions in High-Frequency Applications. CoRR Dimitrios Loukrezis, Armin Galetzka, Herbert De Gersem
2018	J	`jnl`	Uncertainty quantification for an optical grating coupler with an adjoint-based Leja adaptive collocation method. CoRR Niklas Georg, Dimitrios Loukrezis, Ulrich Römer, Sebastian Schöps
2017	J	`jnl`	Numerical Comparison of Leja and Clenshaw-Curtis Dimension-Adaptive Collocation for Stochastic Parametric Electromagnetic Field Problems. CoRR Dimitrios Loukrezis, Ulrich Römer, Herbert De Gersem
2016	J	`jnl`	High Dimensional Uncertainty Quantification for an Electrothermal Field Problem using Stochastic Collocation on Sparse Grids and Tensor Train Decomposition. CoRR Dimitrios Loukrezis, Ulrich Römer, Thorben Casper, Sebastian Schöps, Herbert De Gersem