Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing. - Jacob Deasy; Pietro Liò; Ari Ercole (CoRR, 2019)

Impact of novel aggregation methods for flexible, time-sensitive EHR prediction without variable selection or cleaning. - Jacob Deasy; Ari Ercole; Pietro Liò (CoRR, 2019)

Constraining Variational Inference with Geometric Jensen-Shannon Divergence. - Jacob Deasy; Nikola Simidjievski; Pietro Lió (NeurIPS, 2020)

Adaptive Prediction Timing for Electronic Health Records. - Jacob Deasy; Ari Ercole; Pietro Liò (CoRR, 2020)

Heavy-tailed denoising score matching. - Jacob Deasy; Nikola Simidjievski; Pietro Liò (CoRR, 2021)

Generalising sequence models for epigenome predictions with tissue and assay embeddings. - Jacob Deasy; Ron Schwessinger; Ferran Gonzalez; Stephen Young; Kim M. Branson (CoRR, 2023)

Fine-tuning Protein Language Models with Deep Mutational Scanning improves Variant Effect Prediction. - Aleix Lafita; Ferran Gonzalez; Mahmoud Hossam; Paul Smyth; Jacob Deasy; Ari Allyn-Feuer; Daniel Seaton; Stephen Young (CoRR, 2024)