On the absence of uniform recovery in many real-world applications of compressed sensing and the restricted isometry property and nullspace property in levels A Bastounis, AC Hansen SIAM Journal on Imaging Sciences 10 (1), 335-371, 2017 | 54* | 2017 |
The mathematics of adversarial attacks in AI--Why deep learning is unstable despite the existence of stable neural networks A Bastounis, AC Hansen, V Vlačić arXiv preprint arXiv:2109.06098, 2021 | 32 | 2021 |
The extended Smale's 9th problem--On computational barriers and paradoxes in estimation, regularisation, computer-assisted proofs and learning A Bastounis, AC Hansen, V Vlačić arXiv preprint arXiv:2110.15734, 2021 | 27* | 2021 |
The feasibility and inevitability of stealth attacks IY Tyukin, DJ Higham, A Bastounis, E Woldegeorgis, AN Gorban arXiv preprint arXiv:2106.13997, 2021 | 13 | 2021 |
On fundamentals of models and sampling in compressed sensing B Roman, A Bastounis, B Adcock, AC Hansen Preprint, 2015 | 11 | 2015 |
On random and deterministic compressed sensing and the restricted isometry property in levels A Bastounis, AC Hansen 2015 International Conference on Sampling Theory and Applications (SampTA …, 2015 | 9 | 2015 |
From global to local: Getting more from compressed sensing A Bastounis, B Adcock, AC Hansen SIAM News 50 (8), 1-4, 2017 | 8 | 2017 |
The extended Smale’s 9th problem-On computational barriers and paradoxes in estimation, regularisation, learning and computer-assisted proofs A Bastounis, AC Hansen, V Vlacic arXiv preprint arxiv:2110.15734, 2021 | 5 | 2021 |
When can you trust feature selection?--II: On the effects of random data on condition in statistics and optimisation A Bastounis, F Cucker, AC Hansen arXiv preprint arXiv:2312.11429, 2023 | 1 | 2023 |
When can you trust feature selection?--I: A condition-based analysis of LASSO and generalised hardness of approximation A Bastounis, F Cucker, AC Hansen arXiv preprint arXiv:2312.11425, 2023 | 1 | 2023 |
The boundaries of verifiable accuracy, robustness, and generalisation in deep learning A Bastounis, AN Gorban, AC Hansen, DJ Higham, D Prokhorov, O Sutton, ... International Conference on Artificial Neural Networks, 530-541, 2023 | 1 | 2023 |
How adversarial attacks can disrupt seemingly stable accurate classifiers OJ Sutton, Q Zhou, IY Tyukin, AN Gorban, A Bastounis, DJ Higham arXiv preprint arXiv:2309.03665, 2023 | | 2023 |
On fundamental computational barriers in the mathematics of information AJ Bastounis | | 2018 |