Roland Maier

According to our database, Roland Maier authored at least 33 papers between 2004 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Enriched higher-order multiscale approaches with applications to wave propagation.

Balaje Kalyanaraman, Felix Krumbiegel, Roland Maier, Siyang Wang

CoRR, May, 2026

A post-processed higher-order multiscale method for nondivergence-form elliptic equations.

Moritz Hauck, Roland Maier, Timo Sprekeler

CoRR, April, 2026

GLENN: Neural network-enhanced computation of Ginzburg-Landau energy minimizers.

Michael Crocoll, Christian Döding, Benjamin Dörich, Roland Maier

CoRR, March, 2026

Complexity bounds on neural networks for the solution of structured linear systems of equations.

Benjamin Dörich, Roland Maier, Lukas Ullmer

CoRR, March, 2026

Semi-explicit time discretization for linear thermo-poroelasticity.

Robert Altmann, Roland Maier, J. Schmeck

CoRR, March, 2026

Multiscale corrections by continuous super-resolution.

Zhi-Song Liu, Roland Maier, Andreas Rupp

Neural Networks, 2026

2025

PUFM++: Point Cloud Upsampling via Enhanced Flow Matching.

Zhi-Song Liu, Chenhang He, Roland Maier, Andreas Rupp

CoRR, December, 2025

Optimal higher-order convergence rates for parabolic multiscale problems.

Balaje Kalyanaraman, Felix Krumbiegel, Roland Maier, Siyang Wang

CoRR, October, 2025

A Generalized Framework for Higher-Order Localized Orthogonal Decomposition Methods.

Moritz Hauck, Alexei Lozinski, Roland Maier

CoRR, June, 2025

2024

Localized Implicit Time Stepping for the Wave Equation.

Dietmar Gallistl, Roland Maier

SIAM J. Numer. Anal., 2024

Neural numerical homogenization based on Deep Ritz corrections.

Mehdi Elasmi, Felix Krumbiegel, Roland Maier

CoRR, 2024

Numerical Homogenization by Continuous Super-Resolution.

Zhi-Song Liu, Roland Maier, Andreas Rupp

CoRR, 2024

2023

Neural Network Approximation of Coarse-Scale Surrogates in Numerical Homogenization.

Fabian Kröpfl, Roland Maier, Daniel Peterseim

Multiscale Model. Simul., December, 2023

An Improved High-Order Method for Elliptic Multiscale Problems.

Zhaonan Dong, Moritz Hauck, Roland Maier

SIAM J. Numer. Anal., August, 2023

A Higher-Order Multiscale Method for the Wave Equation.

Felix Krumbiegel, Roland Maier

CoRR, 2023

An algebraic multiscale method for spatial network models.

Moritz Hauck, Roland Maier, Axel Målqvist

CoRR, 2023

A localized orthogonal decomposition strategy for hybrid discontinuous Galerkin methods.

Peipei Lu, Roland Maier, Andreas Rupp

CoRR, 2023

2022

A Space-Time Multiscale Method for Parabolic Problems.

Per Ljung, Roland Maier, Axel Målqvist

Multiscale Model. Simul., March, 2022

A Decoupling and Linearizing Discretization for Weakly Coupled Poroelasticity with Nonlinear Permeability.

Robert Altmann, Roland Maier

SIAM J. Sci. Comput., 2022

Multiscale scattering in nonlinear Kerr-type media.

Roland Maier, Barbara Verfürth

Math. Comput., 2022

Semi-explicit integration of second order for weakly coupled poroelasticity.

Robert Altmann, Roland Maier, Benjamin Unger

CoRR, 2022

Adaptive refinement for unstructured T-splines with linear complexity.

Roland Maier, Philipp Morgenstern, Thomas Takacs

Comput. Aided Geom. Des., 2022

2021

A High-Order Approach to Elliptic Multiscale Problems with General Unstructured Coefficients.

Roland Maier

SIAM J. Numer. Anal., 2021

Semi-explicit discretization schemes for weakly coupled elliptic-parabolic problems.

Robert Altmann, Roland Maier, Benjamin Unger

Math. Comput., 2021

Operator Compression with Deep Neural Networks.

Fabian Kröpfl, Roland Maier, Daniel Peterseim

CoRR, 2021

A decoupling and linearizing discretization for poroelasticity with nonlinear permeability.

Robert Altmann, Roland Maier

CoRR, 2021

Fast mass lumped multiscale wave propagation modelling.

Sjoerd Geevers, Roland Maier

CoRR, 2021

2020

Reconstruction of Quasi-Local Numerical Effective Models from Low-Resolution Measurements.

Alfonso Caiazzo, Roland Maier, Daniel Peterseim

J. Sci. Comput., 2020

XCS classifier system with experience replay.

Anthony Stein, Roland Maier, Lukas Rosenbauer, Jörg Hähner

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

XCS as a reinforcement learning approach to automatic test case prioritization.

Lukas Rosenbauer, Anthony Stein, Roland Maier, David Pätzel, Jörg Hähner

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Computational multiscale methods for linear poroelasticity with high contrast.

Shubin Fu, Robert Altmann, Eric T. Chung, Roland Maier, Daniel Peterseim, Sai-Mang Pun

J. Comput. Phys., 2019

2017

Toward curious learning classifier systems: combining XCS with active learning concepts.

Anthony Stein, Roland Maier, Jörg Hähner

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2004

Distributional properties of the typical cell of stationary iterated tessellations.

Roland Maier, Johannes Mayer, Volker Schmidt

Math. Methods Oper. Res., 2004