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Oliver J. Sutton
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Journal Articles
- 2024
- [j6]Ivan Yu. Tyukin
, Tatiana Tyukina
Coping with AI errors with provable guarantees. Inf. Sci. 678: 120856 (2024) - [j5]Paul Houston
Efficient High-Order Space-Angle-Energy Polytopic Discontinuous Galerkin Finite Element Methods for Linear Boltzmann Transport. J. Sci. Comput. 100(2): 52 (2024) - [j4]Oliver J. Sutton
How adversarial attacks can disrupt seemingly stable accurate classifiers. Neural Networks 180: 106711 (2024) - 2021
- [j3]Zhaonan Dong
Residual-Based A Posteriori Error Estimates for hp-Discontinuous Galerkin Discretizations of the Biharmonic Problem. SIAM J. Numer. Anal. 59(3): 1273-1298 (2021) - 2017
- [j2]Oliver J. Sutton
The virtual element method in 50 lines of MATLAB. Numer. Algorithms 75(4): 1141-1159 (2017) - [j1]Andrea Cangiani
A posteriori error estimates for the virtual element method. Numerische Mathematik 137(4): 857-893 (2017)
Conference and Workshop Papers
- 2024
- [c5]Ivan Yu. Tyukin, Tatiana Tyukina, Daniel 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. IJCNN 2024: 1-8 - 2023
- [c4]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: 560-568 - [c3]Oliver J. Sutton
Relative Intrinsic Dimensionality Is Intrinsic to Learning. ICANN (1) 2023: 516-529 - [c2]Alexander Bastounis
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning. ICANN (1) 2023: 530-541 - [c1]Qinghua Zhou, Oliver J. Sutton, Yudong Zhang, Alexander N. Gorban
Neuromorphic tuning of feature spaces to overcome the challenge of low-sample high-dimensional data. IJCNN 2023: 1-8
Informal and Other Publications
- 2024
- [i10]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 abs/2402.00899 (2024) - [i9]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 abs/2406.12670 (2024) - 2023
- [i8]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 abs/2304.09592 (2023) - [i7]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 abs/2309.03665 (2023) - [i6]Alexander Bastounis, Alexander N. Gorban, Anders C. Hansen, Desmond J. Higham, Danil V. Prokhorov
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning. CoRR abs/2309.07072 (2023) - [i5]Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Ivan Yu. Tyukin:
Relative intrinsic dimensionality is intrinsic to learning. CoRR abs/2311.07579 (2023) - 2022
- [i4]Ivan Yu. Tyukin, Oliver J. Sutton, Alexander N. Gorban:
Learning from few examples with nonlinear feature maps. CoRR abs/2203.16935 (2022) - [i3]Oliver J. Sutton, Alexander N. Gorban, Ivan Yu. Tyukin:
Towards a mathematical understanding of learning from few examples with nonlinear feature maps. CoRR abs/2211.03607 (2022) - 2020
- [i2]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 abs/2005.05661 (2020) - [i1]Zhaonan Dong, Lorenzo Mascotto, Oliver J. Sutton:
Residual-based a posteriori error estimates for hp-discontinuous Galerkin discretisations of the biharmonic problem. CoRR abs/2009.14140 (2020)
Coauthor Index
aka: Ivan Yu. Tyukin
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