Oliver J. Sutton

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 17

Top Topics

Error Estimates

Dimensional Data

Finite Element Methods

Top Venues

SIAM J. Numer. Anal.

Numerische Mathematik

Numer. Algorithms

Publications

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
Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees. CoRR (2024)
Oliver J. Sutton, Qinghua Zhou, Wei Wang, Desmond J. Higham, Alexander N. Gorban, Alexander Bastounis, Ivan Yu. Tyukin
Stealth edits for provably fixing or attacking large language models. CoRR (2024)
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
Coping with AI errors with provable guarantees. Inf. Sci. 678 (2024)
Paul Houston, Matthew E. Hubbard, Thomas J. Radley, Oliver J. Sutton, Richard S. J. Widdowson
Efficient High-Order Space-Angle-Energy Polytopic Discontinuous Galerkin Finite Element Methods for Linear Boltzmann Transport. J. Sci. Comput. 100 (2) (2024)
Oliver J. Sutton, Alexander N. Gorban, Ivan Yu. Tyukin
A Geometric View on the Role of Nonlinear Feature Maps in Few-Shot Learning. GSI (1) (2023)
Qinghua Zhou, Oliver J. Sutton, Yudong Zhang, Alexander N. Gorban, Valeri A. Makarov, Ivan Yu. Tyukin
Neuromorphic tuning of feature spaces to overcome the challenge of low-sample high-dimensional data. IJCNN (2023)
Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Ivan Yu. Tyukin
Relative intrinsic dimensionality is intrinsic to learning. CoRR (2023)
Paul Houston, Matthew E. Hubbard, Thomas J. Radley, Oliver J. Sutton, Richard S. J. Widdowson
Efficient High-Order Space-Angle-Energy Polytopic Discontinuous Galerkin Finite Element Methods for Linear Boltzmann Transport. CoRR (2023)
Alexander Bastounis, Alexander N. Gorban, Anders C. Hansen, Desmond J. Higham, Danil V. Prokhorov, Oliver J. Sutton, Ivan Yu. Tyukin, Qinghua Zhou
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning. CoRR (2023)
Oliver J. Sutton, Qinghua Zhou, Ivan Yu. Tyukin, Alexander N. Gorban, Alexander Bastounis, Desmond J. Higham
How adversarial attacks can disrupt seemingly stable accurate classifiers. CoRR (2023)
Ivan Y. Tyukin, Oliver J. Sutton, Alexander N. Gorban
Learning from few examples with nonlinear feature maps. CoRR (2022)
Oliver J. Sutton, Alexander N. Gorban, Ivan Y. Tyukin
Towards a mathematical understanding of learning from few examples with nonlinear feature maps. CoRR (2022)
Zhaonan Dong, Lorenzo Mascotto, Oliver J. Sutton
Residual-Based A Posteriori Error Estimates for hp-Discontinuous Galerkin Discretizations of the Biharmonic Problem. SIAM J. Numer. Anal. 59 (3) (2021)
Andrea Cangiani, Emmanuil H. Georgoulis, Oliver J. Sutton
Adaptive non-hierarchical Galerkin methods for parabolic problems with application to moving mesh and virtual element methods. CoRR (2020)
Zhaonan Dong, Lorenzo Mascotto, Oliver J. Sutton
Residual-based a posteriori error estimates for hp-discontinuous Galerkin discretisations of the biharmonic problem. CoRR (2020)
Oliver J. Sutton
The virtual element method in 50 lines of MATLAB. Numer. Algorithms 75 (4) (2017)
Andrea Cangiani, Emmanuil H. Georgoulis, Tristan Pryer, Oliver J. Sutton
A posteriori error estimates for the virtual element method. Numerische Mathematik 137 (4) (2017)