| Low-latitude aurorae during the extreme space weather events in 1859 H Hayakawa, Y Ebihara, DP Hand, S Hayakawa, S Kumar, S Mukherjee, ... The Astrophysical Journal 869 (1), 57, 2018 | 58 | 2018 |
| The great space weather event during 1872 February recorded in East Asia H Hayakawa, Y Ebihara, DM Willis, K Hattori, AS Giunta, MN Wild, ... The Astrophysical Journal 862 (1), 15, 2018 | 58 | 2018 |
| On the minimax optimality and superiority of deep neural network learning over sparse parameter spaces S Hayakawa, T Suzuki Neural Networks 123, 343-361, 2020 | 48 | 2020 |
| A great space weather event in February 1730 H Hayakawa, Y Ebihara, JM Vaquero, K Hattori, VMS Carrasco, ... Astronomy & Astrophysics 616, A177, 2018 | 33 | 2018 |
| Positively weighted kernel quadrature via subsampling S Hayakawa, H Oberhauser, T Lyons Advances in Neural Information Processing Systems 35, 6886-6900, 2022 | 20 | 2022 |
| Monte Carlo cubature construction S Hayakawa Japan Journal of Industrial and Applied Mathematics 38 (2), 561-577, 2021 | 19 | 2021 |
| Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination M Adachi*, S Hayakawa*, M Jørgensen, H Oberhauser, MA Osborne Advances in Neural Information Processing Systems 35, 16533-16547, 2022 | 13 | 2022 |
| SOBER: Highly parallel Bayesian optimization and bayesian quadrature over discrete and mixed spaces M Adachi, S Hayakawa, S Hamid, M Jørgensen, H Oberhauser, ... ICML 2023 Workshop: Sampling and Optimization in Discrete Space, 2023 | 12* | 2023 |
| Sampling-based Nyström Approximation and Kernel Quadrature S Hayakawa, H Oberhauser, T Lyons International Conference on Machine Learning, 12678-12699, 2023 | 9 | 2023 |
| Estimating the probability that a given vector is in the convex hull of a random sample S Hayakawa, T Lyons, H Oberhauser Probability Theory and Related Fields 185, 705-746, 2023 | 8 | 2023 |
| Monte Carlo construction of cubature on Wiener space S Hayakawa, K Tanaka Japan Journal of Industrial and Applied Mathematics 39 (2), 543-571, 2022 | 8 | 2022 |
| Convergence analysis of approximation formulas for analytic functions via duality for potential energy minimization S Hayakawa, K Tanaka Japan Journal of Industrial and Applied Mathematics 41 (1), 105-127, 2024 | 5 | 2024 |
| Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation H Yamasaki, S Subramanian, S Hayakawa, S Sonoda International Conference on Machine Learning, 39008-39034, 2023 | 4 | 2023 |
| Hypercontractivity meets random convex hulls: analysis of randomized multivariate cubatures S Hayakawa, H Oberhauser, T Lyons Proceedings of the Royal Society A 479 (2273), 20220725, 2023 | 4 | 2023 |
| Adaptive Batch Sizes in Active Learning: A Probabilistic Numerics Approach M Adachi, S Hayakawa, X Wan, M Jørgensen, V Nguyen, H Oberhauser, ... International Conference on Artificial Intelligence and Statistics, 2024 | 3* | 2024 |
| Error bounds of potential theoretic numerical integration formulas in weighted Hardy spaces S Hayakawa, K Tanaka JSIAM Letters 12, 21-24, 2020 | 1 | 2020 |
| A Quadrature Approach for General-Purpose Batch Bayesian Optimization via Probabilistic Lifting M Adachi, S Hayakawa, M Jørgensen, S Hamid, H Oberhauser, ... arXiv preprint arXiv:2404.12219, 2024 | | 2024 |
| Policy Gradient with Kernel Quadrature S Hayakawa, T Morimura Transactions on Machine Learning Research, 2024 | | 2024 |
| Random convex hulls and kernel quadrature S Hayakawa University of Oxford, 2023 | | 2023 |
| Lie groups and Lie algebras S Hayakawa | | |
Harald OberhauserMathematical Institute, University of OxfordVerified email at maths.ox.ac.uk
