Alice Cortinovis

Orcid: 0000-0001-6917-5106

According to our database1, Alice Cortinovis authored at least 17 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Attention Mechanisms Through the Lens of Numerical Methods: Approximation Methods and Alternative Formulations.
CoRR, April, 2026

Computing the density of the Kesten-Stigum limit in supercritical Galton-Watson processes.
CoRR, January, 2026

Preconditioned log-determinant approximation: one Gaussian probe vector is almost always enough.
CoRR, January, 2026

Adaptive Randomized Pivoting for Column Subset Selection, DEIM, and Low-Rank Approximation.
SIAM J. Matrix Anal. Appl., 2026

2025
A Sublinear-Time Randomized Algorithm for Column and Row Subset Selection Based on Strong Rank-Revealing QR Factorizations.
SIAM J. Matrix Anal. Appl., 2025

2024
Speeding Up Krylov Subspace Methods for Computing \(\boldsymbol{{f}(A){b}}\) via Randomization.
SIAM J. Matrix Anal. Appl., March, 2024

Improved bounds for randomized Schatten norm estimation of numerically low-rank matrices.
CoRR, 2024

2023
Computing Free Convolutions via Contour Integrals.
CoRR, 2023

2022
Fast deterministic and randomized algorithms for low-rank approximation, matrix functions, and trace estimation.
PhD thesis, 2022

Improved Variants of the Hutch++ Algorithm for Trace Estimation.
SIAM J. Matrix Anal. Appl., 2022

Divide-and-Conquer Methods for Functions of Matrices with Banded or Hierarchical Low-Rank Structure.
SIAM J. Matrix Anal. Appl., 2022

On Randomized Trace Estimates for Indefinite Matrices with an Application to Determinants.
Found. Comput. Math., 2022

Speeding up Krylov subspace methods for computing f(A)b via randomization.
CoRR, 2022

2021
Low-Rank Updates of Matrix Functions II: Rational Krylov Methods.
SIAM J. Numer. Anal., 2021

2020
Low-Rank Approximation in the Frobenius Norm by Column and Row Subset Selection.
SIAM J. Matrix Anal. Appl., 2020

Quasi-Optimal Sampling to Learn Basis Updates for Online Adaptive Model Reduction with Adaptive Empirical Interpolation.
Proceedings of the 2020 American Control Conference, 2020

2019
On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices.
CoRR, 2019


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