David Persson - RankMe

17 papers A* 1A 1Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Linear Systems and Eigenvalue Problems: Open Questions from a Simons Workshop. CoRR 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
2025	J	`jnl`	Algorithm-Agnostic Low-Rank Approximation of Operator Monotone Matrix Functions. SIAM J. Matrix Anal. Appl. David Persson, Raphael A. Meyer, Christopher Musco
2025	A*	`conf`	Near-optimal hierarchical matrix approximation from matrix-vector products. SODA Tyler Chen, Feyza Duman Keles, Diana Halikias, Cameron Musco, Christopher Musco, David Persson
2025	J	`jnl`	On the randomized SVD in infinite dimensions. CoRR Daniel Kressner, David Persson, André Uschmajew
2025	J	`jnl`	Quasi-optimal hierarchically semi-separable matrix approximation. CoRR Noah Amsel, Tyler Chen, Feyza Duman Keles, Diana Halikias, Cameron Musco, Christopher Musco, David Persson
2025	J	`jnl`	Query Efficient Structured Matrix Learning. CoRR Noah Amsel, Pratyush Avi, Tyler Chen, Feyza Duman Keles, Chinmay Hegde, Cameron Musco, Christopher Musco, David Persson
2025	J	`jnl`	Randomized Nyström Approximation of Non-negative Self-Adjoint Operators. SIAM J. Math. Data Sci. David Persson, Nicolas Boullé, Daniel Kressner
2025	J	`jnl`	Randomized block-Krylov subspace methods for low-rank approximation of matrix functions. CoRR David Persson, Tyler Chen, Christopher Musco
2025	J	`jnl`	The Polar Express: Optimal Matrix Sign Methods and Their Application to the Muon Algorithm. CoRR Noah Amsel, David Persson, Christopher Musco, Robert Gower
2024	J	`jnl`	Near-optimal hierarchical matrix approximation from matrix-vector products. CoRR Tyler Chen, Feyza Duman Keles, Diana Halikias, Cameron Musco, Christopher Musco, David Persson
2024	J	`jnl`	Randomized Nyström approximation of non-negative self-adjoint operators. CoRR David Persson, Nicolas Boullé, Daniel Kressner
2023	J	`jnl`	Algorithm-agnostic low-rank approximation of operator monotone matrix functions. CoRR David Persson, Raphael A. Meyer, Christopher Musco
2023	J	`jnl`	Randomized Low-Rank Approximation of Monotone Matrix Functions. SIAM J. Matrix Anal. Appl. David Persson, Daniel Kressner
2022	J	`jnl`	Improved Variants of the Hutch++ Algorithm for Trace Estimation. SIAM J. Matrix Anal. Appl. David Persson, Alice Cortinovis, Daniel Kressner
2022	J	`jnl`	Randomized low-rank approximation of monotone matrix functions. CoRR David Persson, Daniel Kressner
2021	J	`jnl`	Improved variants of the Hutch++ algorithm for trace estimation. CoRR David Persson, Alice Cortinovis, Daniel Kressner
2002	A	`conf`	Sensing And Direction In Locomotion Learning With A Random Morphology Robot. GECCO Karl Hedman, David Persson, Per Skoglund, Dan Wiklund, Krister Wolff, Peter Nordin