Sensing And Direction In Locomotion Learning With A Random Morphology Robot. - Karl Hedman; David Persson; Per Skoglund; Dan Wiklund; Krister Wolff; Peter Nordin (GECCO, 2002)

Improved Variants of the Hutch++ Algorithm for Trace Estimation. - David Persson; Alice Cortinovis; Daniel Kressner (SIAM J. Matrix Anal. Appl., 2022)

Randomized Low-Rank Approximation of Monotone Matrix Functions. - David Persson; Daniel Kressner (SIAM J. Matrix Anal. Appl., 2023)

Randomized Nyström approximation of non-negative self-adjoint operators. - David Persson; Nicolas Boullé; Daniel Kressner (CoRR, 2024)

Near-optimal hierarchical matrix approximation from matrix-vector products. - Tyler Chen; Feyza Duman Keles; Diana Halikias; Cameron Musco; Christopher Musco; David Persson (SODA, 2025)

Algorithm-Agnostic Low-Rank Approximation of Operator Monotone Matrix Functions. - David Persson; Raphael A. Meyer; Christopher Musco (SIAM J. Matrix Anal. Appl., 2025)

Randomized block-Krylov subspace methods for low-rank approximation of matrix functions. - David Persson; Tyler Chen; Christopher Musco (CoRR, 2025)

The Polar Express: Optimal Matrix Sign Methods and Their Application to the Muon Algorithm. - Noah Amsel; David Persson; Christopher Musco; Robert Gower (CoRR, 2025)

Quasi-optimal hierarchically semi-separable matrix approximation. - Noah Amsel; Tyler Chen; Feyza Duman Keles; Diana Halikias; Cameron Musco; Christopher Musco; David Persson (CoRR, 2025)

On the randomized SVD in infinite dimensions. - Daniel Kressner; David Persson; André Uschmajew (CoRR, 2025)

Query Efficient Structured Matrix Learning. - Noah Amsel; Pratyush Avi; Tyler Chen; Feyza Duman Keles; Chinmay Hegde; Cameron Musco; Christopher Musco; David Persson (CoRR, 2025)