| Neural controlled differential equations for irregular time series P Kidger, J Morrill, J Foster, T Lyons Advances in neural information processing systems 33, 6696-6707, 2020 | 873 | 2020 |
| Neural rough differential equations for long time series J Morrill, C Salvi, P Kidger, J Foster International Conference on Machine Learning, 7829-7838, 2021 | 245 | 2021 |
| A generalised signature method for multivariate time series feature extraction J Morrill, A Fermanian, P Kidger, T Lyons arXiv preprint arXiv:2006.00873, 2020 | 92 | 2020 |
| The signature-based model for early detection of sepsis from electronic health records in the intensive care unit J Morrill, A Kormilitzin, A Nevado-Holgado, S Swaminathan, S Howison, ... 2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019 | 91 | 2019 |
| On the choice of interpolation scheme for neural cdes J Morrill, P Kidger, L Yang, T Lyons Transactions on Machine Learning Research 2022 (9), 2022 | 82* | 2022 |
| Utilization of the signature method to identify the early onset of sepsis from multivariate physiological time series in critical care monitoring JH Morrill, A Kormilitzin, AJ Nevado-Holgado, S Swaminathan, ... Critical Care Medicine 48 (10), e976-e981, 2020 | 55 | 2020 |
| New directions in the applications of rough path theory A Fermanian, T Lyons, J Morrill, C Salvi IEEE BITS the Information Theory Magazine 3 (2), 41-53, 2023 | 35 | 2023 |
| A machine learning methodology for identification and triage of heart failure exacerbations J Morrill, K Qirko, J Kelly, A Ambrosy, B Toro, T Smith, N Wysham, ... Journal of Cardiovascular Translational Research 15 (1), 103-115, 2022 | 20 | 2022 |
| Generalised interpretable shapelets for irregular time series P Kidger, J Morrill, T Lyons arXiv preprint arXiv:2005.13948, 2020 | 15 | 2020 |
Patrick KidgerML @ Cradle.bioVerified email at kidger.site
