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Diana Halikias
Diana Halikias
Ph.D. student, Cornell University
Verified email at cornell.edu
Title
Cited by
Cited by
Year
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
232021
Elliptic PDE learning is provably data-efficient
N Boullé, D Halikias, A Townsend
Proceedings of the National Academy of Sciences 120 (39), e2303904120, 2023
162023
Structured matrix recovery from matrix‐vector products
D Halikias, A Townsend
Numerical Linear Algebra with Applications 31 (1), e2531, 2024
92024
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
72021
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
22024
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
12024
Operator learning without the adjoint
N Boullé, D Halikias, SE Otto, A Townsend
arXiv preprint arXiv:2401.17739, 2024
12024
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
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Articles 1–10