Oliver J. Sutton
Orcid: 0000-0003-0184-4371
According to our database1,
Oliver J. Sutton
authored at least 18 papers
between 2017 and 2024.
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Bibliography
2024
Efficient High-Order Space-Angle-Energy Polytopic Discontinuous Galerkin Finite Element Methods for Linear Boltzmann Transport.
J. Sci. Comput., August, 2024
Neural Networks, 2024
Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees.
Proceedings of the International Joint Conference on Neural Networks, 2024
2023
Neuromorphic tuning of feature spaces to overcome the challenge of low-sample high-dimensional data.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the Artificial Neural Networks and Machine Learning, 2023
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023
Proceedings of the Geometric Science of Information - 6th International Conference, 2023
2022
Towards a mathematical understanding of learning from few examples with nonlinear feature maps.
CoRR, 2022
2021
Residual-Based A Posteriori Error Estimates for hp-Discontinuous Galerkin Discretizations of the Biharmonic Problem.
SIAM J. Numer. Anal., 2021
2020
Residual-based a posteriori error estimates for hp-discontinuous Galerkin discretisations of the biharmonic problem.
CoRR, 2020
Adaptive non-hierarchical Galerkin methods for parabolic problems with application to moving mesh and virtual element methods.
CoRR, 2020
2017
Numerische Mathematik, 2017