Distributional properties of the typical cell of stationary iterated tessellations. - Roland Maier; Johannes Mayer; Volker Schmidt (Math. Methods Oper. Res., 2004)

Toward curious learning classifier systems: combining XCS with active learning concepts. - Anthony Stein; Roland Maier; Jörg Hähner (GECCO (Companion), 2017)

Computational multiscale methods for linear poroelasticity with high contrast. - Shubin Fu; Robert Altmann; Eric T. Chung 001; Roland Maier; Daniel Peterseim; Sai-Mang Pun (J. Comput. Phys., 2019)

XCS as a reinforcement learning approach to automatic test case prioritization. - Lukas Rosenbauer; Anthony Stein; Roland Maier; David Pätzel; Jörg Hähner (GECCO Companion, 2020)

XCS classifier system with experience replay. - Anthony Stein; Roland Maier; Lukas Rosenbauer; Jörg Hähner (GECCO, 2020)

Reconstruction of Quasi-Local Numerical Effective Models from Low-Resolution Measurements. - Alfonso Caiazzo; Roland Maier; Daniel Peterseim (J. Sci. Comput., 2020)

Fast mass lumped multiscale wave propagation modelling. - Sjoerd Geevers; Roland Maier (CoRR, 2021)

A decoupling and linearizing discretization for poroelasticity with nonlinear permeability. - Robert Altmann; Roland Maier (CoRR, 2021)

Operator Compression with Deep Neural Networks. - Fabian Kröpfl; Roland Maier; Daniel Peterseim (CoRR, 2021)

Semi-explicit discretization schemes for weakly coupled elliptic-parabolic problems. - Robert Altmann; Roland Maier; Benjamin Unger (Math. Comput., 2021)

A High-Order Approach to Elliptic Multiscale Problems with General Unstructured Coefficients. - Roland Maier (SIAM J. Numer. Anal., 2021)

Adaptive refinement for unstructured T-splines with linear complexity. - Roland Maier; Philipp Morgenstern; Thomas Takacs (Comput. Aided Geom. Des., 2022)

Semi-explicit integration of second order for weakly coupled poroelasticity. - Robert Altmann; Roland Maier; Benjamin Unger (CoRR, 2022)

Multiscale scattering in nonlinear Kerr-type media. - Roland Maier; Barbara Verfürth (Math. Comput., 2022)

A Decoupling and Linearizing Discretization for Weakly Coupled Poroelasticity with Nonlinear Permeability. - Robert Altmann; Roland Maier (SIAM J. Sci. Comput., 2022)

A Space-Time Multiscale Method for Parabolic Problems. - Per Ljung; Roland Maier; Axel Målqvist (Multiscale Model. Simul., 2022)

A localized orthogonal decomposition strategy for hybrid discontinuous Galerkin methods. - Peipei Lu; Roland Maier; Andreas Rupp (CoRR, 2023)

An algebraic multiscale method for spatial network models. - Moritz Hauck; Roland Maier; Axel Målqvist (CoRR, 2023)

A Higher-Order Multiscale Method for the Wave Equation. - Felix Krumbiegel; Roland Maier (CoRR, 2023)

An Improved High-Order Method for Elliptic Multiscale Problems. - Zhaonan Dong; Moritz Hauck; Roland Maier (SIAM J. Numer. Anal., 2023)

Neural Network Approximation of Coarse-Scale Surrogates in Numerical Homogenization. - Fabian Kröpfl; Roland Maier; Daniel Peterseim (Multiscale Model. Simul., 2023)

Numerical Homogenization by Continuous Super-Resolution. - Zhi-Song Liu; Roland Maier; Andreas Rupp (CoRR, 2024)

Neural numerical homogenization based on Deep Ritz corrections. - Mehdi Elasmi; Felix Krumbiegel; Roland Maier (CoRR, 2024)

Localized Implicit Time Stepping for the Wave Equation. - Dietmar Gallistl; Roland Maier (SIAM J. Numer. Anal., 2024)

A Generalized Framework for Higher-Order Localized Orthogonal Decomposition Methods. - Moritz Hauck; Alexei Lozinski; Roland Maier (CoRR, 2025)