David Persson

According to our database, David Persson authored at least 12 papers between 2002 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Linear Systems and Eigenvalue Problems: Open Questions from a Simons Workshop.

Noah Amsel, Yves Baumann, Paul Beckman, Peter Bürgisser, Chris Camaño, Tyler Chen, Edmond Chow, Anil Damle, Michal Derezinski, Mark Embree, Ethan N. Epperly, Robert D. Falgout, Mark Fornace, Anne Greenbaum, Chen Greif, Diana Halikias, Zhen Huang, Elias Jarlebring, Yiannis Koutis, Daniel Kressner, Rasmus Kyng, Jörg Liesen, Jackie Lok, Raphael A. Meyer, Yuji Nakatsukasa, Kate Pearce, Richard Peng, David Persson, Elizaveta Rebrova, Ryan Schneider, Rikhav Shah, Edgar Solomonik, Nikhil Srivastava, Alex Townsend, Robert J. Webber, Jess Williams

CoRR, February, 2026

Quasi-optimal Hierarchically Semi-separable Matrix Approximation.

Noah Amsel, Tyler Chen, Feyza Duman Keles, Diana Halikias, Cameron Musco, Christopher Musco, David Persson

SIAM J. Matrix Anal. Appl., 2026

2025

Query Efficient Structured Matrix Learning.

Noah Amsel, Pratyush Avi, Tyler Chen, Feyza Duman Keles, Chinmay Hegde, Cameron Musco, Christopher Musco, David Persson

CoRR, July, 2025

On the randomized SVD in infinite dimensions.

Daniel Kressner, David Persson, André Uschmajew

CoRR, June, 2025

The Polar Express: Optimal Matrix Sign Methods and Their Application to the Muon Algorithm.

Noah Amsel, David Persson, Christopher Musco, Robert Gower

CoRR, May, 2025

Randomized block-Krylov subspace methods for low-rank approximation of matrix functions.

David Persson, Tyler Chen, Christopher Musco

CoRR, February, 2025

Randomized Nyström Approximation of Non-negative Self-Adjoint Operators.

David Persson, Nicolas Boullé, Daniel Kressner

SIAM J. Math. Data Sci., 2025

Algorithm-Agnostic Low-Rank Approximation of Operator Monotone Matrix Functions.

David Persson, Raphael A. Meyer, Christopher Musco

SIAM J. Matrix Anal. Appl., 2025

Near-optimal hierarchical matrix approximation from matrix-vector products.

Tyler Chen, Feyza Duman Keles, Diana Halikias, Cameron Musco, Christopher Musco, David Persson

Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms, 2025

2023

Randomized Low-Rank Approximation of Monotone Matrix Functions.

David Persson, Daniel Kressner

SIAM J. Matrix Anal. Appl., June, 2023

2022

Improved Variants of the Hutch++ Algorithm for Trace Estimation.

David Persson, Alice Cortinovis, Daniel Kressner

SIAM J. Matrix Anal. Appl., 2022

2002

Sensing And Direction In Locomotion Learning With A Random Morphology Robot.

Karl Hedman, David Persson, Per Skoglund, Dan Wiklund, Krister Wolff, Peter Nordin

Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002