Consistency in echo-state networks T Lymburn, A Khor, T Stemler, DC Corrêa, M Small, T Jüngling Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (2), 2019 | 55 | 2019 |
The reservoir’s perspective on generalized synchronization T Lymburn, DM Walker, M Small, T Jüngling Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (9), 2019 | 39 | 2019 |
Reservoir computing with swarms T Lymburn, SD Algar, M Small, T Jüngling Chaos: An Interdisciplinary Journal of Nonlinear Science 31 (3), 2021 | 17 | 2021 |
Reconstruction of complex dynamical systems from time series using reservoir computing T Jüngling, T Lymburn, T Stemler, D Corrêa, D Walker, M Small 2019 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2019 | 11 | 2019 |
Consistency hierarchy of reservoir computers T Jüngling, T Lymburn, M Small IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2586-2595, 2021 | 6 | 2021 |
Learned emergence in selfish collective motion SD Algar, T Lymburn, T Stemler, M Small, T Jüngling Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (12), 2019 | 6 | 2019 |
Quantifying robustness and capacity of reservoir computers with consistency profiles T Lymburn, T Jüngling, M Small International Conference on Artificial Neural Networks, 447-458, 2020 | 4 | 2020 |
Model Calibration and Validation From A Statistical Inference Perspective S Ting, T Lymburn, T Stemler, Y Sun, M Small arXiv preprint arXiv:2309.08562, 2023 | 1 | 2023 |
Parameter estimation for Gipps’ car following model in a Bayesian framework S Ting, T Lymburn, T Stemler, Y Sun, M Small Physica A: Statistical Mechanics and its Applications 639, 129671, 2024 | | 2024 |
Consistency capacity of reservoir computers T Jüngling, T Lymburn, M Small arXiv preprint arXiv:2105.13473, 2021 | | 2021 |
Beyond the Echo State Property-Generalised Synchronisation and Consistency in Reservoir Computers T Lymburn | | 2021 |
Echo-state networks in nonlinear dynamical systems T Lymburn, T Jüngling, T Stemler, D Corrêa, M Small | | |