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Karsten Kahl
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- affiliation: University of Wuppertal, School of Mathematics and Natural Sciences, Germany
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2020 – today
- 2024
- [c9]Edgar Heinert, Matthias Rottmann, Kira Maag, Karsten Kahl:
Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion. ECAI 2024: 609-617 - [c8]Tobias Riedlinger, Marius Schubert, Karsten Kahl, Hanno Gottschalk, Matthias Rottmann:
Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection. VISIGRAPP (2): VISAPP 2024: 366-374 - [c7]Marius Schubert, Tobias Riedlinger, Karsten Kahl, Matthias Rottmann:
Deep Active Learning with Noisy Oracle in Object Detection. VISIGRAPP (2): VISAPP 2024: 375-384 - [c6]Marius Schubert, Tobias Riedlinger, Karsten Kahl, Daniel Kröll, Sebastian Schoenen, Sinisa Segvic, Matthias Rottmann:
Identifying Label Errors in Object Detection Datasets by Loss Inspection. WACV 2024: 4570-4579 - [i16]Ahsan Ali, James J. Brannick, Karsten Kahl, Oliver A. Krzysik, Jacob B. Schroder, Ben S. Southworth:
Generalized Optimal AMG Convergence Theory for Nonsymmetric and Indefinite Problems. CoRR abs/2401.11146 (2024) - [i15]Edgar Heinert, Matthias Rottmann, Kira Maag, Karsten Kahl:
Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion. CoRR abs/2402.09530 (2024) - 2023
- [j13]Andreas Frommer, Karsten Kahl
, Marcel Schweitzer, Manuel Tsolakis
Krylov Subspace Restarting for Matrix Laplace Transforms. SIAM J. Matrix Anal. Appl. 44(2): 693-717 (2023) - [c5]Tobias Riedlinger
LMD: Light-Weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds. DAGM 2023: 85-99 - [c4]Antonia van Betteray, Matthias Rottmann, Karsten Kahl:
MGiaD: Multigrid in all dimensions. Efficiency and robustness by weight sharing and coarsening in resolution and channel dimensions. ICCV (Workshops) 2023: 1284-1293 - [i14]Marius Schubert, Tobias Riedlinger, Karsten Kahl, Daniel Kröll, Sebastian Schoenen, Sinisa Segvic, Matthias Rottmann:
Identifying Label Errors in Object Detection Datasets by Loss Inspection. CoRR abs/2303.06999 (2023) - [i13]Tobias Riedlinger, Marius Schubert, Sarina Penquitt, Jan-Marcel Kezmann, Pascal Colling, Karsten Kahl, Lutz Roese-Koerner, Michael Arnold, Urs Zimmermann, Matthias Rottmann:
LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds. CoRR abs/2306.07835 (2023) - [i12]Ahsan Ali, James J. Brannick, Karsten Kahl, Oliver A. Krzysik, Jacob B. Schroder, Ben S. Southworth:
Constrained Local Approximate Ideal Restriction for Advection-Diffusion Problems. CoRR abs/2307.00229 (2023) - [i11]Marius Schubert, Tobias Riedlinger, Karsten Kahl, Matthias Rottmann:
Deep Active Learning with Noisy Oracle in Object Detection. CoRR abs/2310.00372 (2023) - 2022
- [i10]Andreas Frommer, Karsten Kahl, Marcel Schweitzer, Manuel Tsolakis:
Krylov subspace restarting for matrix Laplace transforms. CoRR abs/2205.13842 (2022) - [i9]Antonia van Betteray, Matthias Rottmann, Karsten Kahl:
MGiaD: Multigrid in all dimensions. Efficiency and robustness by coarsening in resolution and channel dimensions. CoRR abs/2211.05525 (2022) - [i8]Tobias Riedlinger, Marius Schubert, Karsten Kahl, Hanno Gottschalk, Matthias Rottmann:
Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection. CoRR abs/2212.10836 (2022) - [i7]Malak Diab, Andreas Frommer, Karsten Kahl:
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 abs/2212.14208 (2022) - 2021
- [j12]Andreas Frommer, Karsten Kahl
A multigrid accelerated eigensolver for the Hermitian Wilson-Dirac operator in lattice QCD. Comput. Phys. Commun. 258: 107615 (2021) - [c3]Marius Schubert, Karsten Kahl, Matthias Rottmann:
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection. IJCNN 2021: 1-10 - [i6]Andreas Frommer, Karsten Kahl, Manuel Tsolakis:
Matrix functions via linear systems built from continued fractions. CoRR abs/2109.03527 (2021) - 2020
- [i5]Karsten Kahl, Bruno Lang:
On the equivalence of the Hermitian eigenvalue problem and hypergraph edge elimination. CoRR abs/2003.03145 (2020) - [i4]Hanno Gottschalk, Karsten Kahl:
Coarsening in Algebraic Multigrid using Gaussian Processes. CoRR abs/2004.11427 (2020) - [i3]Marius Schubert, Karsten Kahl, Matthias Rottmann:
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection. CoRR abs/2010.01695 (2020)
2010 – 2019
- 2019
- [j11]Maksim Ulybyshev, Nils Kintscher, Karsten Kahl, Pavel Buividovich:
Schur complement solver for Quantum Monte-Carlo simulations of strongly interacting fermions. Comput. Phys. Commun. 236: 118-127 (2019) - [c2]Andreas Behrend, Anton Dignös
Period Index: A Learned 2D Hash Index for Range and Duration Queries. SSTD 2019: 100-109 - [i2]Andreas Frommer, Birgit Jacob, Karsten Kahl, Christian Wyss, Ian Zwaan:
Krylov type methods exploiting the quadratic numerical range. CoRR abs/1912.10765 (2019) - 2018
- [j10]Karsten Kahl, Nils Kintscher:
Geometric Multigrid for the Tight-Binding Hamiltonian of Graphene. SIAM J. Numer. Anal. 56(1): 499-519 (2018) - [j9]James J. Brannick, Fei Cao, Karsten Kahl, Robert D. Falgout
Optimal Interpolation and Compatible Relaxation in Classical Algebraic Multigrid. SIAM J. Sci. Comput. 40(3) (2018) - [j8]Karsten Kahl, Matthias Rottmann:
Least Angle Regression Coarsening in Bootstrap Algebraic Multigrid. SIAM J. Sci. Comput. 40(6): A3928-A3954 (2018) - [c1]Matthias Rottmann, Karsten Kahl, Hanno Gottschalk:
Deep Bayesian Active Semi-Supervised Learning. ICMLA 2018: 158-164 - [i1]Matthias Rottmann, Karsten Kahl, Hanno Gottschalk:
Deep Bayesian Active Semi-Supervised Learning. CoRR abs/1803.01216 (2018) - 2016
- [j7]James J. Brannick, Andreas Frommer, Karsten Kahl, Björn Leder
Multigrid preconditioning for the overlap operator in lattice QCD. Numerische Mathematik 132(3): 463-490 (2016) - [j6]Matthias Bolten
Multigrid Methods for Tensor Structured Markov Chains with Low Rank Approximation. SIAM J. Sci. Comput. 38(2) (2016) - 2014
- [j5]James J. Brannick, Karsten Kahl:
Bootstrap Algebraic Multigrid for the 2D Wilson Dirac system. SIAM J. Sci. Comput. 36(3) (2014) - [j4]Andreas Frommer, Karsten Kahl, Stefan Krieg
Adaptive Aggregation-Based Domain Decomposition Multigrid for the Lattice Wilson-Dirac Operator. SIAM J. Sci. Comput. 36(4) (2014) - 2013
- [j3]Andreas Frommer, Karsten Kahl, Thomas Lippert, Hannah Rittich:
2-Norm Error Bounds and Estimates for Lanczos Approximations to Linear Systems and Rational Matrix Functions. SIAM J. Matrix Anal. Appl. 34(3): 1046-1065 (2013) - 2011
- [j2]Achi Brandt, James J. Brannick, Karsten Kahl, Irene Livshits:
Bootstrap AMG. SIAM J. Sci. Comput. 33(2): 612-632 (2011) - [j1]Matthias Bolten
A Bootstrap Algebraic Multilevel Method for Markov Chains. SIAM J. Sci. Comput. 33(6): 3425-3446 (2011)
Coauthor Index
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last updated on 2024-10-28 20:11 CET by the dblp team
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