Embedding and approximation theorems for echo state networks A Hart, J Hook, J Dawes Neural Networks 128, 234-247, 2020 | 106 | 2020 |
The ventilation of buildings and other mitigating measures for COVID-19: a focus on wintertime HC Burridge, RK Bhagat, MEJ Stettler, P Kumar, I De Mel, P Demis, A Hart, ... Proceedings of the Royal Society A 477 (2247), 20200855, 2021 | 92 | 2021 |
Echo state networks trained by Tikhonov least squares are L2 (μ) approximators of ergodic dynamical systems AG Hart, JL Hook, JHP Dawes Physica D: Nonlinear Phenomena 421, 132882, 2021 | 50 | 2021 |
Chaos on compact manifolds: Differentiable synchronizations beyond the Takens theorem L Grigoryeva, A Hart, JP Ortega Physical Review E 103 (6), 062204, 2021 | 32 | 2021 |
Learning strange attractors with reservoir systems L Grigoryeva, A Hart, JP Ortega Nonlinearity 36 (9), 4674, 2023 | 23 | 2023 |
A Markov theoretic description of stacking-disordered aperiodic crystals including ice and opaline silica AG Hart, TC Hansen, WF Kuhs Acta Crystallographica Section A: Foundations and Advances 74 (4), 357-372, 2018 | 6 | 2018 |
Using echo state networks to approximate value functions for control AG Hart, KR Olding, AMG Cox, O Isupova, JHP Dawes arXiv preprint arXiv:2102.06258, 2021 | 5 | 2021 |
A hidden Markov model for describing turbostratic disorder applied to carbon blacks and graphene AG Hart, TC Hansen, WF Kuhs Acta Crystallographica Section A: Foundations and Advances 75 (3), 501-516, 2019 | 2 | 2019 |
Generalised synchronisations, embeddings, and approximations for continuous time reservoir computers AG Hart Physica D: Nonlinear Phenomena 458, 133956, 2024 | | 2024 |
Reservoir Computing with Dynamical Systems AG Hart University of Bath, 2022 | | 2022 |