| An unconventional robust integrator for dynamical low-rank approximation G Ceruti, C Lubich BIT Numerical Mathematics 62 (1), 23-44, 2022 | 87 | 2022 |
| A rank-adaptive robust integrator for dynamical low-rank approximation G Ceruti, J Kusch, C Lubich BIT Numerical Mathematics 62 (4), 1149-1174, 2022 | 71 | 2022 |
| Time integration of tree tensor networks G Ceruti, C Lubich, H Walach SIAM Journal on Numerical Analysis 59 (1), 289-313, 2021 | 35 | 2021 |
| 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 | 26 | 2022 |
| 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 | 21 | 2023 |
| Rank-adaptive time integration of tree tensor networks G Ceruti, C Lubich, D Sulz SIAM Journal on Numerical Analysis 61 (1), 194-222, 2023 | 19 | 2023 |
| Time integration of symmetric and anti-symmetric low-rank matrices and Tucker tensors G Ceruti, C Lubich BIT Numerical Mathematics 60, 591-614, 2020 | 19 | 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 | 17 | 2022 |
| Numerical simulation of long-range open quantum many-body dynamics with tree tensor networks D Sulz, C Lubich, G Ceruti, I Lesanovsky, F Carollo Physical Review A 109 (2), 022420, 2024 | 10 | 2024 |
| 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 | 9 | 2024 |
| Robust low-rank training via approximate orthonormal constraints D Savostianova, E Zangrando, G Ceruti, F Tudisco Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
| From low-rank retractions to dynamical low-rank approximation and back A Séguin, G Ceruti, D Kressner BIT Numerical Mathematics 64 (3), 25, 2024 | 5 | 2024 |
| Rank-adaptive spectral pruning of convolutional layers during training E Zangrando, S Schotthöfer, G Ceruti, J Kusch, F Tudisco arXiv preprint arXiv:2305.19059, 2023 | 5 | 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 | 4 | 2024 |
| Dynamical low-rank approximation for Marshak waves G Ceruti, M Frank, J Kusch Karlsruhe Institute of Technology, CRC 1173, 2022 | 3 | 2022 |
| Low-rank Tree Tensor Network Operators for Long-Range Pairwise Interactions G Ceruti, D Kressner, D Sulz arXiv preprint arXiv:2405.09952, 2024 | 1 | 2024 |
| Unconventional contributions to dynamical low-rank approximation of tree tensor networks G Ceruti Universität Tübingen, 2021 | | 2021 |
Christian LubichMathematics, Univ. Tuebingen在 na.uni-tuebingen.de 的电子邮件经过验证
