Oliver J. Sutton

24 papers A* 1B 2Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Left shifting analysis of Human-Autonomous Team interactions to analyse risks of autonomy in high-stakes AI systems.
CoRR
Ben Larwood, Oliver J. Sutton, Callum Cockburn
2025 J jnl
Staining and locking computer vision models without retraining.
CoRR
Oliver J. Sutton, Qinghua Zhou, George Leete, Alexander N. Gorban, Ivan Yu. Tyukin
2024 J jnl
Coping with AI errors with provable guarantees.
Inf. Sci.
Ivan Yu. Tyukin, Tatiana Tyukina, Daniël P. van Helden, Zedong Zheng, Evgeny M. Mirkes, Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Penelope M. Allison
2024 J jnl
Efficient High-Order Space-Angle-Energy Polytopic Discontinuous Galerkin Finite Element Methods for Linear Boltzmann Transport.
J. Sci. Comput.
Paul Houston, Matthew E. Hubbard, Thomas J. Radley, Oliver J. Sutton, Richard S. J. Widdowson
2024 J jnl
How adversarial attacks can disrupt seemingly stable accurate classifiers.
Neural Networks
Oliver J. Sutton, Qinghua Zhou, Ivan Yu. Tyukin, Alexander N. Gorban, Alexander Bastounis, Desmond J. Higham
2024 J jnl
Stealth edits for provably fixing or attacking large language models.
CoRR
Oliver J. Sutton, Qinghua Zhou, Wei Wang, Desmond J. Higham, Alexander N. Gorban, Alexander Bastounis, Ivan Yu. Tyukin
2024 A* conf
Stealth edits to large language models.
NeurIPS
Oliver J. Sutton, Qinghua Zhou, Wei Wang, Desmond J. Higham, Alexander N. Gorban, Alexander Bastounis, Ivan Tyukin
2024 B conf
Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees.
IJCNN
Ivan Yu. Tyukin, Tatiana Tyukina, Daniel van Helden, Zedong Zheng, Evgeny M. Mirkes, Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Penelope M. Allison
2024 J jnl
Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees.
CoRR
Ivan Yu. Tyukin, Tatiana Tyukina, Daniël P. van Helden, Zedong Zheng, Evgeny M. Mirkes, Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Penelope M. Allison
2023 — conf
A Geometric View on the Role of Nonlinear Feature Maps in Few-Shot Learning.
GSI (1)
Oliver J. Sutton, Alexander N. Gorban, Ivan Yu. Tyukin
2023 J jnl
Efficient High-Order Space-Angle-Energy Polytopic Discontinuous Galerkin Finite Element Methods for Linear Boltzmann Transport.
CoRR
Paul Houston, Matthew E. Hubbard, Thomas J. Radley, Oliver J. Sutton, Richard S. J. Widdowson
2023 J jnl
How adversarial attacks can disrupt seemingly stable accurate classifiers.
CoRR
Oliver J. Sutton, Qinghua Zhou, Ivan Yu. Tyukin, Alexander N. Gorban, Alexander Bastounis, Desmond J. Higham
2023 B conf
Neuromorphic tuning of feature spaces to overcome the challenge of low-sample high-dimensional data.
IJCNN
Qinghua Zhou, Oliver J. Sutton, Yudong Zhang, Alexander N. Gorban, Valeri A. Makarov, Ivan Yu. Tyukin
2023 — conf
Relative Intrinsic Dimensionality Is Intrinsic to Learning.
ICANN (1)
Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Ivan Yu. Tyukin
2023 J jnl
Relative intrinsic dimensionality is intrinsic to learning.
CoRR
Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Ivan Yu. Tyukin
2023 — conf
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning.
ICANN (1)
Alexander Bastounis, Alexander N. Gorban, Anders C. Hansen, Desmond J. Higham, Danil V. Prokhorov, Oliver J. Sutton, Ivan Yu. Tyukin, Qinghua Zhou
2023 J jnl
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning.
CoRR
Alexander Bastounis, Alexander N. Gorban, Anders C. Hansen, Desmond J. Higham, Danil V. Prokhorov, Oliver J. Sutton, Ivan Yu. Tyukin, Qinghua Zhou
2022 J jnl
Learning from few examples with nonlinear feature maps.
CoRR
Ivan Yu. Tyukin, Oliver J. Sutton, Alexander N. Gorban
2022 J jnl
Towards a mathematical understanding of learning from few examples with nonlinear feature maps.
CoRR
Oliver J. Sutton, Alexander N. Gorban, Ivan Yu. Tyukin
2021 J jnl
Residual-Based A Posteriori Error Estimates for hp-Discontinuous Galerkin Discretizations of the Biharmonic Problem.
SIAM J. Numer. Anal.
Zhaonan Dong, Lorenzo Mascotto, Oliver J. Sutton
2020 J jnl
Adaptive non-hierarchical Galerkin methods for parabolic problems with application to moving mesh and virtual element methods.
CoRR
Andrea Cangiani, Emmanuil H. Georgoulis, Oliver J. Sutton
2020 J jnl
Residual-based a posteriori error estimates for hp-discontinuous Galerkin discretisations of the biharmonic problem.
CoRR
Zhaonan Dong, Lorenzo Mascotto, Oliver J. Sutton
2017 J jnl
A posteriori error estimates for the virtual element method.
Numerische Mathematik
Andrea Cangiani, Emmanuil H. Georgoulis, Tristan Pryer, Oliver J. Sutton
2017 J jnl
The virtual element method in 50 lines of MATLAB.
Numer. Algorithms
Oliver J. Sutton