Discrete variants of Brunn–Minkowski type inequalities D Halikias, B Klartag, BA Slomka Annales de la Faculté des sciences de Toulouse: Mathématiques 30 (2), 267-279, 2021 | 23 | 2021 |
Elliptic PDE learning is provably data-efficient N Boullé, D Halikias, A Townsend Proceedings of the National Academy of Sciences 120 (39), e2303904120, 2023 | 16 | 2023 |
Structured matrix recovery from matrix‐vector products D Halikias, A Townsend Numerical Linear Algebra with Applications 31 (1), e2531, 2024 | 9 | 2024 |
Arbitrary-depth universal approximation theorems for operator neural networks A Yu, C Becquey, D Halikias, ME Mallory, A Townsend arXiv preprint arXiv:2109.11354, 2021 | 7 | 2021 |
Fixed-sparsity matrix approximation from matrix-vector products N Amsel, T Chen, D Halikias, FD Keles, C Musco, C Musco arXiv preprint arXiv:2402.09379, 2024 | 2 | 2024 |
Near-optimal hierarchical matrix approximation from matrix-vector products T Chen, FD Keles, D Halikias, C Musco, C Musco, D Persson arXiv preprint arXiv:2407.04686, 2024 | 1 | 2024 |
Operator learning without the adjoint N Boullé, D Halikias, SE Otto, A Townsend arXiv preprint arXiv:2401.17739, 2024 | 1 | 2024 |
A Cheeger inequality for graphs based on a reflection principle E Gelernt, D Halikias, C Kenney, NF Marshall Involve, a Journal of Mathematics 13 (3), 475-486, 2020 | | 2020 |
Matrix recovery from matrix-vector products A Townsend, D Halikias 2023 Joint Mathematics Meetings (JMM 2023), 0 | | |
a journal of mathematics E Gelernt, D Halikias, C Kenney, NF Marshall | | |