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Jacob Deasy
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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
272020
Constraining variational inference with geometric jensen-shannon divergence
J Deasy, N Simidjievski, P Li˛
Advances in Neural Information Processing Systems 33, 10647-10658, 2020
182020
Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or curation
J Deasy, P Li˛, A Ercole
Scientific Reports 10 (1), 1-11, 2020
172020
The r-Hunter–Saxton equation, smooth and singular solutions and their approximation
CJ Cotter, J Deasy, T Pryer
Nonlinearity 33 (12), 7016, 2020
52020
Adaptive prediction timing for electronic health records
J Deasy, A Ercole, P Li˛
arXiv preprint arXiv:2003.02554, 2020
42020
Heavy-tailed denoising score matching
J Deasy, N Simidjievski, P Li˛
arXiv preprint arXiv:2112.09788, 2021
32021
Impact of novel aggregation methods for flexible, time-sensitive EHR prediction without variable selection or cleaning
J Deasy, A Ercole, P Li˛
arXiv preprint arXiv:1909.08981, 2019
22019
-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 Explicitá…, 2021
12021
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
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