| On randomized trace estimates for indefinite matrices with an application to determinants A Cortinovis, D Kressner Foundations of Computational Mathematics 22 (3), 875-903, 2022 | 50 | 2022 |
| Improved variants of the Hutch++ algorithm for trace estimation D Persson, A Cortinovis, D Kressner SIAM Journal on Matrix Analysis and Applications 43 (3), 1162-1185, 2022 | 37 | 2022 |
| Low-rank approximation in the Frobenius norm by column and row subset selection A Cortinovis, D Kressner SIAM Journal on Matrix Analysis and Applications 41 (4), 1651-1673, 2020 | 36 | 2020 |
| On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices A Cortinovis, D Kressner, S Massei Linear Algebra and its Applications 593, 251-268, 2020 | 20 | 2020 |
| Low-rank updates of matrix functions II: Rational Krylov methods B Beckermann, A Cortinovis, D Kressner, M Schweitzer SIAM Journal on Numerical Analysis 59 (3), 1325-1347, 2021 | 19 | 2021 |
| Speeding Up Krylov Subspace Methods for Computing via Randomization A Cortinovis, D Kressner, Y Nakatsukasa SIAM Journal on Matrix Analysis and Applications 45 (1), 619-633, 2024 | 16 | 2024 |
| Divide-and-Conquer Methods for Functions of Matrices with Banded or Hierarchical Low-Rank Structure A Cortinovis, D Kressner, S Massei SIAM Journal on Matrix Analysis and Applications 43 (1), 151-177, 2022 | 12 | 2022 |
| Quasi-Optimal Sampling to Learn Basis Updates for Online Adaptive Model Reduction with Adaptive Empirical Interpolation A Cortinovis, D Kressner, S Massei, B Peherstorfer 2020 American Control Conference (ACC), 2472-2477, 2020 | 6 | 2020 |
| Fast deterministic and randomized algorithms for low-rank approximation, matrix functions, and trace estimation A Cortinovis EPFL, 2022 | 3 | 2022 |
| A sublinear-time randomized algorithm for column and row subset selection based on strong rank-revealing QR factorizations A Cortinovis, L Ying arXiv preprint arXiv:2402.13975, 2024 | 2 | 2024 |
| Improved bounds for randomized Schatten norm estimation of numerically low-rank matrices YC Chu, A Cortinovis arXiv preprint arXiv:2408.17414, 2024 | | 2024 |
| Computing Free Convolutions via Contour Integrals A Cortinovis, L Ying arXiv preprint arXiv:2305.01819, 2023 | | 2023 |
| Minimizing the optimality residual for algebraic Riccati equations A Cortinovis | | 2018 |
