Jacob Deasy

According to our database, Jacob Deasy authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

2023

Generalising sequence models for epigenome predictions with tissue and assay embeddings.

Jacob Deasy, Ron Schwessinger, Ferran Gonzalez, Stephen Young, Kim M. Branson

CoRR, 2023

2021

Heavy-tailed denoising score matching.

Jacob Deasy, Nikola Simidjievski, Pietro Liò

CoRR, 2021

2020

Adaptive Prediction Timing for Electronic Health Records.

Jacob Deasy, Ari Ercole, Pietro Liò

CoRR, 2020

Constraining Variational Inference with Geometric Jensen-Shannon Divergence.

Jacob Deasy, Nikola Simidjievski, Pietro Lió

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

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