| A rank-adaptive robust integrator for dynamical low-rank approximation G Ceruti, J Kusch, C Lubich BIT Numerical Mathematics 62 (4), 1149-1174, 2022 | 133 | 2022 |
| Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations S Schotthöfer, E Zangrando, J Kusch, G Ceruti, F Tudisco Advances in Neural Information Processing Systems 35, 20051-20063, 2022 | 63 | 2022 |
| A robust collision source method for rank adaptive dynamical low-rank approximation in radiation therapy J Kusch, P Stammer ESAIM: Mathematical Modelling and Numerical Analysis 57 (2), 865-891, 2023 | 56 | 2023 |
| A parallel rank-adaptive integrator for dynamical low-rank approximation G Ceruti, J Kusch, C Lubich SIAM Journal on Scientific Computing 46 (3), B205-B228, 2024 | 45* | 2024 |
| Filtered stochastic Galerkin methods for hyperbolic equations J Kusch, RG McClarren, M Frank Journal of Computational Physics 403, 109073, 2020 | 42 | 2020 |
| Ray effect mitigation for the discrete ordinates method through quadrature rotation T Camminady, M Frank, K Küpper, J Kusch Journal of Computational Physics 382, 105-123, 2019 | 40 | 2019 |
| On the stability of robust dynamical low-rank approximations for hyperbolic problems J Kusch, L Einkemmer, G Ceruti SIAM Journal on Scientific Computing 45 (1), A1-A24, 2023 | 37 | 2023 |
| A robust second-order low-rank BUG integrator based on the midpoint rule G Ceruti, L Einkemmer, J Kusch, C Lubich BIT Numerical Mathematics 64 (3), 30, 2024 | 35 | 2024 |
| Maximum-principle-satisfying second-order intrusive polynomial moment scheme J Kusch, GW Alldredge, M Frank The SMAI journal of computational mathematics 5, 23-51, 2019 | 35 | 2019 |
| Asymptotic-preserving and energy stable dynamical low-rank approximation L Einkemmer, J Hu, J Kusch SIAM Journal on Numerical Analysis 62 (1), 73-92, 2024 | 29 | 2024 |
| Ray effect mitigation for the discrete ordinates method using artificial scattering M Frank, J Kusch, T Camminady, CD Hauck Nuclear Science and Engineering 194 (11), 971-988, 2020 | 27 | 2020 |
| DYNAMICAL LOW-RANK APPROXIMATION FOR BURGERS'EQUATION WITH UNCERTAINTY J Kusch, G Ceruti, L Einkemmer, M Frank International Journal for Uncertainty Quantification 12 (5), 2022 | 26 | 2022 |
| Intrusive methods in uncertainty quantification and their connection to kinetic theory J Kusch, M Frank International Journal of Advances in Engineering Sciences and Applied …, 2018 | 26 | 2018 |
| A review of low-rank methods for time-dependent kinetic simulations L Einkemmer, K Kormann, J Kusch, RG McClarren, JM Qiu Journal of Computational Physics, 114191, 2025 | 25 | 2025 |
| A low-rank power iteration scheme for neutron transport criticality problems J Kusch, B Whewell, R McClarren, M Frank Journal of Computational Physics 470, 111587, 2022 | 25 | 2022 |
| Second-order robust parallel integrators for dynamical low-rank approximation J Kusch BIT Numerical Mathematics 65 (3), 31, 2025 | 21 | 2025 |
| Macro-micro decomposition for consistent and conservative model order reduction of hyperbolic shallow water moment equations: a study using POD-Galerkin and dynamical low-rank … J Koellermeier, P Krah, J Kusch Advances in Computational Mathematics 50 (4), 76, 2024 | 20 | 2024 |
| Intrusive acceleration strategies for uncertainty quantification for hyperbolic systems of conservation laws J Kusch, J Wolters, M Frank Journal of Computational Physics 419, 109698, 2020 | 19 | 2020 |
| Energy stable and conservative dynamical low-rank approximation for the Su–Olson problem L Baumann, L Einkemmer, C Klingenberg, J Kusch SIAM Journal on Scientific Computing 46 (2), B137-B158, 2024 | 17 | 2024 |
| Asymptotic-preserving and energy stable dynamical low-rank approximation for thermal radiative transfer equations M Frank, J Kusch, C Patwardhan Multiscale Modeling & Simulation 23 (1), 278-312, 2025 | 15 | 2025 |
Martin FrankComputational Science & Mathematical Methods, Steinbuch Center for Computing, Karlsruhe Institute of TechnologyVerified email at kit.edu
