Karsten Kahl - RankMe

48 papers A 3B 2C 2Journal 37Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Theory of Relaxation-Based Algebraic Multigrid. CoRR Rayan Moussa, Karsten Kahl
2026	J	`jnl`	Nodal Coarsening and Sparse Ideal Interpolation for H(curl) Problems in Algebraic Multigrid. CoRR Taoli Shen, James J. Brannick, Robert D. Falgout, Karsten Kahl, Jacob B. Schroder
2025	J	`jnl`	Generalized Optimal AMG Convergence Theory for Stokes Equations Using Smooth Aggregation and Vanka Relaxation Strategies. CoRR Ahsan Ali, James J. Brannick, Karsten Kahl, Oliver A. Krzysik, Jacob B. Schroder, Ben S. Southworth, Alexey Voronin
2025	A	`conf`	LFA Applied to CNNs: Efficient Singular Value Decomposition of Convolutional Mappings by Local Fourier Analysis. ECAI Antonia van Betteray, Matthias Rottmann, Karsten Kahl
2025	J	`jnl`	LFA applied to CNNs: Efficient Singular Value Decomposition of Convolutional Mappings by Local Fourier Analysis. CoRR Antonia van Betteray, Matthias Rottmann, Karsten Kahl
2025	J	`jnl`	LMD: Light-Weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds. Int. J. Comput. Vis. Tobias Riedlinger, Marius Schubert, Sarina Penquitt, Jan-Marcel Kezmann, Pascal Colling, Karsten Kahl, Lutz Roese-Koerner, Michael Arnold, Urs Zimmermann, Matthias Rottmann
2025	J	`jnl`	Nodal AMG Coarsening and Interpolation for PDE Systems. CoRR James J. Brannick, Robert D. Falgout, Karsten Kahl, Jacob B. Schroder, Taoli Shen
2025	C	`conf`	Poly-MgNet: Polynomial Building Blocks in Multigrid-Inspired ResNets. ICPRAM Antonia van Betteray, Matthias Rottmann, Karsten Kahl
2025	J	`jnl`	Poly-MgNet: Polynomial Building Blocks in Multigrid-Inspired ResNets. CoRR Antonia van Betteray, Matthias Rottmann, Karsten Kahl
2024	J	`jnl`	Constrained Local Approximate Ideal Restriction for Advection-Diffusion Problems. SIAM J. Sci. Comput. Ahsan Ali, James J. Brannick, Karsten Kahl, Oliver A. Krzysik, Jacob B. Schroder, Ben S. Southworth
2024	—	`conf`	Deep Active Learning with Noisy Oracle in Object Detection. VISIGRAPP (2): VISAPP Marius Schubert, Tobias Riedlinger, Karsten Kahl, Matthias Rottmann
2024	J	`jnl`	Generalized Optimal AMG Convergence Theory for Nonsymmetric and Indefinite Problems. CoRR Ahsan Ali, James J. Brannick, Karsten Kahl, Oliver A. Krzysik, Jacob B. Schroder, Ben S. Southworth
2024	A	`conf`	Identifying Label Errors in Object Detection Datasets by Loss Inspection. WACV Marius Schubert, Tobias Riedlinger, Karsten Kahl, Daniel Kröll, Sebastian Schoenen, Sinisa Segvic, Matthias Rottmann
2024	A	`conf`	Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion. ECAI Edgar Heinert, Matthias Rottmann, Kira Maag, Karsten Kahl
2024	J	`jnl`	Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion. CoRR Edgar Heinert, Matthias Rottmann, Kira Maag, Karsten Kahl
2024	—	`conf`	Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection. VISIGRAPP (2): VISAPP Tobias Riedlinger, Marius Schubert, Karsten Kahl, Hanno Gottschalk, Matthias Rottmann
2023	J	`jnl`	Constrained Local Approximate Ideal Restriction for Advection-Diffusion Problems. CoRR Ahsan Ali, James J. Brannick, Karsten Kahl, Oliver A. Krzysik, Jacob B. Schroder, Ben S. Southworth
2023	J	`jnl`	Deep Active Learning with Noisy Oracle in Object Detection. CoRR Marius Schubert, Tobias Riedlinger, Karsten Kahl, Matthias Rottmann
2023	J	`jnl`	Identifying Label Errors in Object Detection Datasets by Loss Inspection. CoRR Marius Schubert, Tobias Riedlinger, Karsten Kahl, Daniel Kröll, Sebastian Schoenen, Sinisa Segvic, Matthias Rottmann
2023	J	`jnl`	Krylov Subspace Restarting for Matrix Laplace Transforms. SIAM J. Matrix Anal. Appl. Andreas Frommer, Karsten Kahl, Marcel Schweitzer, Manuel Tsolakis
2023	—	`conf`	LMD: Light-Weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds. DAGM Tobias Riedlinger, Marius Schubert, Sarina Penquitt, Jan-Marcel Kezmann, Pascal Colling, Karsten Kahl, Lutz Roese-Koerner, Michael Arnold, Urs Zimmermann, Matthias Rottmann
2023	J	`jnl`	LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds. CoRR Tobias Riedlinger, Marius Schubert, Sarina Penquitt, Jan-Marcel Kezmann, Pascal Colling, Karsten Kahl, Lutz Roese-Koerner, Michael Arnold, Urs Zimmermann, Matthias Rottmann
2023	—	`conf`	MGiaD: Multigrid in all dimensions. Efficiency and robustness by weight sharing and coarsening in resolution and channel dimensions. ICCV (Workshops) Antonia van Betteray, Matthias Rottmann, Karsten Kahl
2022	J	`jnl`	A flexible short recurrence Krylov subspace method for matrices arising in the time integration of port Hamiltonian systems and ODEs/DAEs with a dissipative Hamiltonian. CoRR Malak Diab, Andreas Frommer, Karsten Kahl
2022	J	`jnl`	Krylov subspace restarting for matrix Laplace transforms. CoRR Andreas Frommer, Karsten Kahl, Marcel Schweitzer, Manuel Tsolakis
2022	J	`jnl`	MGiaD: Multigrid in all dimensions. Efficiency and robustness by coarsening in resolution and channel dimensions. CoRR Antonia van Betteray, Matthias Rottmann, Karsten Kahl
2022	J	`jnl`	Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection. CoRR Tobias Riedlinger, Marius Schubert, Karsten Kahl, Hanno Gottschalk, Matthias Rottmann
2021	J	`jnl`	A multigrid accelerated eigensolver for the Hermitian Wilson-Dirac operator in lattice QCD. Comput. Phys. Commun. Andreas Frommer, Karsten Kahl, Francesco Knechtli, Matthias Rottmann, Artur Strebel, Ian Zwaan
2021	J	`jnl`	Matrix functions via linear systems built from continued fractions. CoRR Andreas Frommer, Karsten Kahl, Manuel Tsolakis
2021	B	`conf`	MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection. IJCNN Marius Schubert, Karsten Kahl, Matthias Rottmann
2020	J	`jnl`	Coarsening in Algebraic Multigrid using Gaussian Processes. CoRR Hanno Gottschalk, Karsten Kahl
2020	J	`jnl`	MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection. CoRR Marius Schubert, Karsten Kahl, Matthias Rottmann
2020	J	`jnl`	On the equivalence of the Hermitian eigenvalue problem and hypergraph edge elimination. CoRR Karsten Kahl, Bruno Lang
2019	J	`jnl`	Krylov type methods exploiting the quadratic numerical range. CoRR Andreas Frommer, Birgit Jacob, Karsten Kahl, Christian Wyss, Ian Zwaan
2019	B	`conf`	Period Index: A Learned 2D Hash Index for Range and Duration Queries. SSTD Andreas Behrend, Anton Dignös, Johann Gamper, Philip Schmiegelt, Hannes Voigt, Matthias Rottmann, Karsten Kahl
2019	J	`jnl`	Schur complement solver for Quantum Monte-Carlo simulations of strongly interacting fermions. Comput. Phys. Commun. Maksim Ulybyshev, Nils Kintscher, Karsten Kahl, Pavel Buividovich
2018	C	`conf`	Deep Bayesian Active Semi-Supervised Learning. ICMLA Matthias Rottmann, Karsten Kahl, Hanno Gottschalk
2018	J	`jnl`	Deep Bayesian Active Semi-Supervised Learning. CoRR Matthias Rottmann, Karsten Kahl, Hanno Gottschalk
2018	J	`jnl`	Geometric Multigrid for the Tight-Binding Hamiltonian of Graphene. SIAM J. Numer. Anal. Karsten Kahl, Nils Kintscher
2018	J	`jnl`	Least Angle Regression Coarsening in Bootstrap Algebraic Multigrid. SIAM J. Sci. Comput. Karsten Kahl, Matthias Rottmann
2018	J	`jnl`	Optimal Interpolation and Compatible Relaxation in Classical Algebraic Multigrid. SIAM J. Sci. Comput. James J. Brannick, Fei Cao, Karsten Kahl, Robert D. Falgout, Xiaozhe Hu
2016	J	`jnl`	Multigrid Methods for Tensor Structured Markov Chains with Low Rank Approximation. SIAM J. Sci. Comput. Matthias Bolten, Karsten Kahl, Sonja Sokolovic
2016	J	`jnl`	Multigrid preconditioning for the overlap operator in lattice QCD. Numerische Mathematik James J. Brannick, Andreas Frommer, Karsten Kahl, Björn Leder, Matthias Rottmann, Artur Strebel
2014	J	`jnl`	Adaptive Aggregation-Based Domain Decomposition Multigrid for the Lattice Wilson-Dirac Operator. SIAM J. Sci. Comput. Andreas Frommer, Karsten Kahl, Stefan Krieg, Björn Leder, Matthias Rottmann
2014	J	`jnl`	Bootstrap Algebraic Multigrid for the 2D Wilson Dirac system. SIAM J. Sci. Comput. James J. Brannick, Karsten Kahl
2013	J	`jnl`	2-Norm Error Bounds and Estimates for Lanczos Approximations to Linear Systems and Rational Matrix Functions. SIAM J. Matrix Anal. Appl. Andreas Frommer, Karsten Kahl, Thomas Lippert, Hannah Rittich
2011	J	`jnl`	A Bootstrap Algebraic Multilevel Method for Markov Chains. SIAM J. Sci. Comput. Matthias Bolten, Achi Brandt, James J. Brannick, Andreas Frommer, Karsten Kahl, Ira Livshits
2011	J	`jnl`	Bootstrap AMG. SIAM J. Sci. Comput. Achi Brandt, James J. Brannick, Karsten Kahl, Irene Livshits