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Nr. Titel Autor Jahr
1 An Empirical Study of Graph-Based Approaches for Semi-supervised Time Series Classification Bünger, Dominik et al. 2022
2 A Low-Rank Matrix Equation Method for Solving PDE-Constrained Optimization Problems Bünger, Alexandra et al. 2021
3 Editorial: Mathematical Fundamentals of Machine Learning Glickenstein, David et al. 2021
4 Improved penalty algorithm for mixed integer PDE constrained optimization problems Garmatter, Dominik et al. 2021
5 Learning in High-Dimensional Feature Spaces Using ANOVA-Based Fast Matrix-Vector Multiplication Nestler, Franziska et al. 2021
6 Low-rank Tensor Methods for PDE-constrained Optimization Bünger, Alexandra 2021
7 On the Efficient Utilization of Dense Nonlocal Adjacency Information In Graph Neural Networks Bünger, Dominik 2021
8 Optimal Dirichlet control of partial differential equations on networks Stoll, Martin et al. 2021
9 Orientations and matrix function-based centralities in multiplex network analysis of urban public transport Bergermann, Kai* et al. 2021
10 Power-to-Syngas: A Parareal Optimal Control Approach Maggi, Andrea* et al. 2021
11 Pseudoinverse graph convolutional networks Alfke, Dominik* et al. 2021
12 Tomographic X-ray scattering based on invariant reconstruction: analysis of the 3D nanostructure of bovine bone De Falco, Paolino et al. 2021
13 Topical Issue Scientific Machine Learning (1/2) Benner, Peter* et al. 2021
14 Topical issue scientific machine learning (2/2) Benner, Peter* et al. 2021
15 A literature survey of matrix methods for data science Stoll, Martin* 2020
16 A Low-Rank Tensor Method for PDE-Constrained Optimization with Isogeometric Analysis Bünger, Alexandra et al. 2020
17 Efficient numerical methods for gas network modeling and simulation Qiu, Yue* et al. 2020
18 Interior point methods and preconditioning for PDE constrained optimization problems involving sparsity terms Pearson, John W. et al. 2020
19 Low-rank solution of an optimal control problem constrained by random Navier-Stokes equations Benner, Peter et al. 2020
20 Solving differential Riccati equations: A nonlinear space-time method using tensor trains Breiten, Tobias* et al. 2020
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