Roland Maier - RankMe

41 papers A 1Journal 38Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Complexity bounds on neural networks for the solution of structured linear systems of equations. CoRR Benjamin Dörich, Roland Maier, Lukas Ullmer
2026	J	`jnl`	GLENN: Neural network-enhanced computation of Ginzburg-Landau energy minimizers. CoRR Michael Crocoll, Christian Döding, Benjamin Dörich, Roland Maier
2026	J	`jnl`	Multiscale corrections by continuous super-resolution. Neural Networks Zhi-Song Liu, Roland Maier, Andreas Rupp
2026	J	`jnl`	Semi-explicit time discretization for linear thermo-poroelasticity. CoRR Robert Altmann, Roland Maier, J. Schmeck
2025	J	`jnl`	A Generalized Framework for Higher-Order Localized Orthogonal Decomposition Methods. CoRR Moritz Hauck, Alexei Lozinski, Roland Maier
2025	J	`jnl`	Optimal higher-order convergence rates for parabolic multiscale problems. CoRR Balaje Kalyanaraman, Felix Krumbiegel, Roland Maier, Siyang Wang
2025	J	`jnl`	PUFM++: Point Cloud Upsampling via Enhanced Flow Matching. CoRR Zhi-Song Liu, Chenhang He, Roland Maier, Andreas Rupp
2024	J	`jnl`	Localized Implicit Time Stepping for the Wave Equation. SIAM J. Numer. Anal. Dietmar Gallistl, Roland Maier
2024	J	`jnl`	Neural numerical homogenization based on Deep Ritz corrections. CoRR Mehdi Elasmi, Felix Krumbiegel, Roland Maier
2024	J	`jnl`	Numerical Homogenization by Continuous Super-Resolution. CoRR Zhi-Song Liu, Roland Maier, Andreas Rupp
2023	J	`jnl`	A Higher-Order Multiscale Method for the Wave Equation. CoRR Felix Krumbiegel, Roland Maier
2023	J	`jnl`	A localized orthogonal decomposition strategy for hybrid discontinuous Galerkin methods. CoRR Peipei Lu, Roland Maier, Andreas Rupp
2023	J	`jnl`	An Improved High-Order Method for Elliptic Multiscale Problems. SIAM J. Numer. Anal. Zhaonan Dong, Moritz Hauck, Roland Maier
2023	J	`jnl`	An algebraic multiscale method for spatial network models. CoRR Moritz Hauck, Roland Maier, Axel Målqvist
2023	J	`jnl`	Localized implicit time stepping for the wave equation. CoRR Dietmar Gallistl, Roland Maier
2023	J	`jnl`	Neural Network Approximation of Coarse-Scale Surrogates in Numerical Homogenization. Multiscale Model. Simul. Fabian Kröpfl, Roland Maier, Daniel Peterseim
2022	J	`jnl`	A Decoupling and Linearizing Discretization for Weakly Coupled Poroelasticity with Nonlinear Permeability. SIAM J. Sci. Comput. Robert Altmann, Roland Maier
2022	J	`jnl`	A Space-Time Multiscale Method for Parabolic Problems. Multiscale Model. Simul. Per Ljung, Roland Maier, Axel Målqvist
2022	J	`jnl`	Adaptive refinement for unstructured T-splines with linear complexity. Comput. Aided Geom. Des. Roland Maier, Philipp Morgenstern, Thomas Takacs
2022	J	`jnl`	An improved high-order method for elliptic multiscale problems. CoRR Zhaonan Dong, Moritz Hauck, Roland Maier
2022	J	`jnl`	Multiscale scattering in nonlinear Kerr-type media. Math. Comput. Roland Maier, Barbara Verfürth
2022	J	`jnl`	Neural network approximation of coarse-scale surrogates in numerical homogenization. CoRR Fabian Kröpfl, Roland Maier, Daniel Peterseim
2022	J	`jnl`	Semi-explicit integration of second order for weakly coupled poroelasticity. CoRR Robert Altmann, Roland Maier, Benjamin Unger
2021	J	`jnl`	A High-Order Approach to Elliptic Multiscale Problems with General Unstructured Coefficients. SIAM J. Numer. Anal. Roland Maier
2021	J	`jnl`	A decoupling and linearizing discretization for poroelasticity with nonlinear permeability. CoRR Robert Altmann, Roland Maier
2021	J	`jnl`	A space-time multiscale method for parabolic problems. CoRR Per Ljung, Roland Maier, Axel Målqvist
2021	J	`jnl`	Adaptive Refinement for Unstructured T-Splines with Linear Complexity. CoRR Roland Maier, Philipp Morgenstern, Thomas Takacs
2021	J	`jnl`	Fast mass lumped multiscale wave propagation modelling. CoRR Sjoerd Geevers, Roland Maier
2021	J	`jnl`	Operator Compression with Deep Neural Networks. CoRR Fabian Kröpfl, Roland Maier, Daniel Peterseim
2021	J	`jnl`	Semi-explicit discretization schemes for weakly coupled elliptic-parabolic problems. Math. Comput. Robert Altmann, Roland Maier, Benjamin Unger
2020	J	`jnl`	A high-order approach to elliptic multiscale problems with general unstructured coefficients. CoRR Roland Maier
2020	J	`jnl`	Multiscale Scattering in Nonlinear Kerr-Type Media. CoRR Roland Maier, Barbara Verfürth
2020	J	`jnl`	Reconstruction of Quasi-Local Numerical Effective Models from Low-Resolution Measurements. J. Sci. Comput. Alfonso Caiazzo, Roland Maier, Daniel Peterseim
2020	J	`jnl`	Reconstruction of quasi-local numerical effective models from low-resolution measurements. CoRR Alfonso Caiazzo, Roland Maier, Daniel Peterseim
2020	J	`jnl`	XCS Classifier System with Experience Replay. CoRR Anthony Stein, Roland Maier, Lukas Rosenbauer, Jörg Hähner
2020	—	`conf`	XCS as a reinforcement learning approach to automatic test case prioritization. GECCO Companion Lukas Rosenbauer, Anthony Stein, Roland Maier, David Pätzel, Jörg Hähner
2020	A	`conf`	XCS classifier system with experience replay. GECCO Anthony Stein, Roland Maier, Lukas Rosenbauer, Jörg Hähner
2019	J	`jnl`	Computational multiscale methods for linear poroelasticity with high contrast. J. Comput. Phys. Shubin Fu, Robert Altmann, Eric T. Chung, Roland Maier, Daniel Peterseim, Sai-Mang Pun
2019	J	`jnl`	Semi-explicit discretization schemes for weakly-coupled elliptic-parabolic problems. CoRR Robert Altmann, Roland Maier, Benjamin Unger
2017	—	`conf`	Toward curious learning classifier systems: combining XCS with active learning concepts. GECCO (Companion) Anthony Stein, Roland Maier, Jörg Hähner
2004	J	`jnl`	Distributional properties of the typical cell of stationary iterated tessellations. Math. Methods Oper. Res. Roland Maier, Johannes Mayer, Volker Schmidt