| Forecasting Ultra-early Intensive Care Strain from COVID-19 in England, v1. 1.4 J Deasy, E Rocheteau, K Kohler, DJ Stubbs, P Barbiero, P Lio, A Ercole MedRxiv, 2020.03. 19.20039057, 2020 | 27 | 2020 |
| Constraining variational inference with geometric jensen-shannon divergence J Deasy, N Simidjievski, P Liò Advances in Neural Information Processing Systems 33, 10647-10658, 2020 | 18 | 2020 |
| Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or curation J Deasy, P Liò, A Ercole Scientific Reports 10 (1), 1-11, 2020 | 17 | 2020 |
| The r-Hunter–Saxton equation, smooth and singular solutions and their approximation CJ Cotter, J Deasy, T Pryer Nonlinearity 33 (12), 7016, 2020 | 5 | 2020 |
| Adaptive prediction timing for electronic health records J Deasy, A Ercole, P Liò arXiv preprint arXiv:2003.02554, 2020 | 4 | 2020 |
| Heavy-tailed denoising score matching J Deasy, N Simidjievski, P Liò arXiv preprint arXiv:2112.09788, 2021 | 3 | 2021 |
| Impact of novel aggregation methods for flexible, time-sensitive EHR prediction without variable selection or cleaning J Deasy, A Ercole, P Liò arXiv preprint arXiv:1909.08981, 2019 | 2 | 2019 |
| -VAEs : Optimising variational inference by learning data-dependent divergence skew J Deasy, TA McIver, N Simidjievski, P Lio ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit …, 2021 | 1 | 2021 |
| Relaxing assumptions in deep probabilistic modelling J Deasy University of Cambridge, 2022 | | 2022 |
| TRAUMATIC BRAIN INJURY PATIENT TRAJECTORIES IN THE ICU: FULL-CONTEXT MODELLING WITH ARTIFICIAL INTELLIGENCE FOR DYNAMIC ORDINAL PROGNOSES S Bhattacharyay, J Deasy, L Wilson, D Menon, R Stevens, E Steyerberg, ... JOURNAL OF NEUROTRAUMA 39 (11-12), A107-A107, 2022 | | 2022 |
P. Lió, Pietro Lio, P. Lio, Pietro Liò, Pie...University of CambridgeVerified email at cam.ac.uk
