| Randomized linear algebra for model reduction. Part I: Galerkin methods and error estimation O Balabanov, A Nouy Advances in Computational Mathematics 45 (5), 2969-3019, 2019 | 43 | 2019 |
| Randomized Gram--Schmidt process with application to GMRES O Balabanov, L Grigori SIAM Journal on Scientific Computing 44 (3), A1450-A1474, 2022 | 41 | 2022 |
| Randomized linear algebra for model reduction—part II: minimal residual methods and dictionary-based approximation O Balabanov, A Nouy Advances in Computational Mathematics 47, 1-54, 2021 | 24 | 2021 |
| Randomized block Gram-Schmidt process for solution of linear systems and eigenvalue problems O Balabanov, L Grigori arXiv preprint arXiv:2111.14641, 2021 | 16 | 2021 |
| Block subsampled randomized Hadamard transform for low-rank approximation on distributed architectures O Balabanov, M Beaupere, L Grigori, V Lederer arXiv preprint arXiv:2210.11295, 2022 | 7 | 2022 |
| Randomized orthogonal projection methods for Krylov subspace solvers E Timsit, L Grigori, O Balabanov arXiv preprint arXiv:2302.07466, 2023 | 5 | 2023 |
| Randomized Cholesky QR factorizations O Balabanov arXiv preprint arXiv:2210.09953, 2022 | 5 | 2022 |
| Preconditioners for model order reduction by interpolation and random sketching of operators O Balabanov, A Nouy arXiv preprint arXiv:2104.12177, 2021 | 3 | 2021 |
| Randomized linear algebra for model order reduction O Balabanov École centrale de Nantes; Universitat politècnica de Catalunya-BarcelonaTech, 2019 | 2 | 2019 |
| Block subsampled randomized hadamard transform for Nyström approximation on distributed architectures O Balabanov, M Beaupère, L Grigori, V Lederer International Conference on Machine Learning, 1564-1576, 2023 | 1 | 2023 |
| CholeskyQR with Randomization and Pivoting for Tall Matrices (CQRRPT) M Melnichenko, O Balabanov, R Murray, J Demmel, MW Mahoney, ... arXiv preprint arXiv:2311.08316, 2023 | | 2023 |
