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Nr. Titel Autor Jahr
1 Adaptive Rational Krylov Methods for Exponential Runge?Kutta Integrators Bergermann, Kai* et al. 2024
2 Second-Order Partial Outer Convexification for Switched Dynamical Systems Plate, Christoph et al. 2024
3 Efficient Structure-preserving Support Tensor Train Machine Kour, Kirandeep et al. 2023
4 Gibbs-Helmholtz graph neural network: capturing the temperature dependency of activity coefficients at infinite dilution Sanchez Medina, Edgar Ivan et al. 2023
5 Preconditioning for a Phase-Field Model with Application to Morphology Evolution in Organic Semiconductors Bergermann, Kai* et al. 2023
6 Structure-preserving model reduction for port-Hamiltonian systems based on separable nonlinear approximation ansatzes Schulze, Philipp* 2023
7 Towards knowledge-enhanced process models for semiconductor fabrication Rothe, Tom et al. 2023
8 Accelerating Kernel Ridge Regression with Conjugate Gradient Method for large-scale data using FPGA High-level Synthesis Alnaser, Yousef et al. 2022
9 An Empirical Study of Graph-Based Approaches for Semi-supervised Time Series Classification Bünger, Dominik et al. 2022
10 An improved penalty algorithm using model order reduction for MIPDECO problems with partial observations Garmatter, Dominik et al. 2022
11 Fast computation of matrix function-based centrality measures for layer-coupled multiplex networks Bergermann, Kai* et al. 2022
12 Graph neural networks for the prediction of infinite dilution activity coefficients Sanchez Medina, Edgar Ivan et al. 2022
13 Learning in High-Dimensional Feature Spaces Using ANOVA-Based Fast Matrix-Vector Multiplication Nestler, Franziska et al. 2022
14 Particle number conservation and block structures in matrix product states Bachmayr, Markus* et al. 2022
15 Preconditioning for a Phase-Field Model with Application to Morphology Evolution in Organic Semiconductors Bergermann, Kai et al. 2022
16 A Low-Rank Matrix Equation Method for Solving PDE-Constrained Optimization Problems Bünger, Alexandra et al. 2021
17 Editorial: Mathematical Fundamentals of Machine Learning Glickenstein, David et al. 2021
18 Improved penalty algorithm for mixed integer PDE constrained optimization problems Garmatter, Dominik et al. 2021
19 Learning in High-Dimensional Feature Spaces Using ANOVA-Based Fast Matrix-Vector Multiplication Nestler, Franziska et al. 2021
20 Low-rank Tensor Methods for PDE-constrained Optimization Bünger, Alexandra 2021
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