Karsten Kahl

According to our database, Karsten Kahl authored at least 30 papers between 2011 and 2024.

Collaborative distances:

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

2024

Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion.

Edgar Heinert, Matthias Rottmann, Kira Maag, Karsten Kahl

CoRR, 2024

Generalized Optimal AMG Convergence Theory for Nonsymmetric and Indefinite Problems.

Ahsan Ali, James J. Brannick, Karsten Kahl, Oliver A. Krzysik, Jacob B. Schroder, Ben S. Southworth

CoRR, 2024

Identifying Label Errors in Object Detection Datasets by Loss Inspection.

Marius Schubert, Tobias Riedlinger, Karsten Kahl, Daniel Kröll, Sebastian Schoenen, Sinisa Segvic, Matthias Rottmann

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Deep Active Learning with Noisy Oracle in Object Detection.

Marius Schubert, Tobias Riedlinger, Karsten Kahl, Matthias Rottmann

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection.

Tobias Riedlinger, Marius Schubert, Karsten Kahl, Hanno Gottschalk, Matthias Rottmann

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

Krylov Subspace Restarting for Matrix Laplace Transforms.

Andreas Frommer, Karsten Kahl, Marcel Schweitzer, Manuel Tsolakis

SIAM J. Matrix Anal. Appl., June, 2023

Constrained Local Approximate Ideal Restriction for Advection-Diffusion Problems.

Ahsan Ali, James J. Brannick, Karsten Kahl, Oliver A. Krzysik, Jacob B. Schroder, Ben S. Southworth

CoRR, 2023

MGiaD: Multigrid in all dimensions. Efficiency and robustness by weight sharing and coarsening in resolution and channel dimensions.

Antonia van Betteray, Matthias Rottmann, Karsten Kahl

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

LMD: Light-Weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds.

Tobias Riedlinger, Marius Schubert, Sarina Penquitt, Jan-Marcel Kezmann, Pascal Colling, Karsten Kahl, Lutz Roese-Koerner, Michael Arnold, Urs Zimmermann, Matthias Rottmann

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022

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.

Malak Diab, Andreas Frommer, Karsten Kahl

CoRR, 2022

MGiaD: Multigrid in all dimensions. Efficiency and robustness by coarsening in resolution and channel dimensions.

Antonia van Betteray, Matthias Rottmann, Karsten Kahl

CoRR, 2022

2021

A multigrid accelerated eigensolver for the Hermitian Wilson-Dirac operator in lattice QCD.

Andreas Frommer, Karsten Kahl, Francesco Knechtli, Matthias Rottmann, Artur Strebel, Ian Zwaan

Comput. Phys. Commun., 2021

Matrix functions via linear systems built from continued fractions.

Andreas Frommer, Karsten Kahl, Manuel Tsolakis

CoRR, 2021

MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection.

Marius Schubert, Karsten Kahl, Matthias Rottmann

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Coarsening in Algebraic Multigrid using Gaussian Processes.

Hanno Gottschalk, Karsten Kahl

CoRR, 2020

On the equivalence of the Hermitian eigenvalue problem and hypergraph edge elimination.

Karsten Kahl, Bruno Lang

CoRR, 2020

2019

Schur complement solver for Quantum Monte-Carlo simulations of strongly interacting fermions.

Maksim Ulybyshev, Nils Kintscher, Karsten Kahl, Pavel Buividovich

Comput. Phys. Commun., 2019

Krylov type methods exploiting the quadratic numerical range.

Andreas Frommer, Birgit Jacob, Karsten Kahl, Christian Wyss, Ian Zwaan

CoRR, 2019

Period Index: A Learned 2D Hash Index for Range and Duration Queries.

Andreas Behrend, Anton Dignös, Johann Gamper, Philip Schmiegelt, Hannes Voigt, Matthias Rottmann, Karsten Kahl

Proceedings of the 16th International Symposium on Spatial and Temporal Databases, 2019

2018

Least Angle Regression Coarsening in Bootstrap Algebraic Multigrid.

Karsten Kahl, Matthias Rottmann

SIAM J. Sci. Comput., 2018

Optimal Interpolation and Compatible Relaxation in Classical Algebraic Multigrid.

James J. Brannick, Fei Cao, Karsten Kahl, Robert D. Falgout, Xiaozhe Hu

SIAM J. Sci. Comput., 2018

Geometric Multigrid for the Tight-Binding Hamiltonian of Graphene.

Karsten Kahl, Nils Kintscher

SIAM J. Numer. Anal., 2018

Deep Bayesian Active Semi-Supervised Learning.

Matthias Rottmann, Karsten Kahl, Hanno Gottschalk

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2016

Multigrid Methods for Tensor Structured Markov Chains with Low Rank Approximation.

Matthias Bolten, Karsten Kahl, Sonja Sokolovic

SIAM J. Sci. Comput., 2016

Multigrid preconditioning for the overlap operator in lattice QCD.

James J. Brannick, Andreas Frommer, Karsten Kahl, Björn Leder, Matthias Rottmann, Artur Strebel

Numerische Mathematik, 2016

2014

Adaptive Aggregation-Based Domain Decomposition Multigrid for the Lattice Wilson-Dirac Operator.

Andreas Frommer, Karsten Kahl, Stefan Krieg, Björn Leder, Matthias Rottmann

SIAM J. Sci. Comput., 2014

Bootstrap Algebraic Multigrid for the 2D Wilson Dirac system.

James J. Brannick, Karsten Kahl

SIAM J. Sci. Comput., 2014

2013

2-Norm Error Bounds and Estimates for Lanczos Approximations to Linear Systems and Rational Matrix Functions.

Andreas Frommer, Karsten Kahl, Thomas Lippert, Hannah Rittich

SIAM J. Matrix Anal. Appl., 2013

2011

Bootstrap AMG.

Achi Brandt, James J. Brannick, Karsten Kahl, Irene Livshits

SIAM J. Sci. Comput., 2011

A Bootstrap Algebraic Multilevel Method for Markov Chains.

Matthias Bolten, Achi Brandt, James J. Brannick, Andreas Frommer, Karsten Kahl, Ira Livshits

SIAM J. Sci. Comput., 2011