Jacob Deasy

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Variable Selection

Variational Inference

Jensen Shannon Divergence

Probabilistic Graphical Models

Top Venues

Publications

Aleix Lafita, Ferran Gonzalez, Mahmoud Hossam, Paul Smyth, Jacob Deasy, Ari Allyn-Feuer, Daniel Seaton, Stephen Young
Fine-tuning Protein Language Models with Deep Mutational Scanning improves Variant Effect Prediction. CoRR (2024)
Jacob Deasy, Ron Schwessinger, Ferran Gonzalez, Stephen Young, Kim M. Branson
Generalising sequence models for epigenome predictions with tissue and assay embeddings. CoRR (2023)
Jacob Deasy, Nikola Simidjievski, Pietro Liò
Heavy-tailed denoising score matching. CoRR (2021)
Jacob Deasy, Nikola Simidjievski, Pietro Lió
Constraining Variational Inference with Geometric Jensen-Shannon Divergence. NeurIPS (2020)
Jacob Deasy, Ari Ercole, Pietro Liò
Adaptive Prediction Timing for Electronic Health Records. CoRR (2020)
Jacob Deasy, Nikola Simidjievski, Pietro Liò
Constraining Variational Inference with Geometric Jensen-Shannon Divergence. CoRR (2020)
Jacob Deasy, Pietro Liò, Ari Ercole
Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing. CoRR (2019)
Jacob Deasy, Ari Ercole, Pietro Liò
Impact of novel aggregation methods for flexible, time-sensitive EHR prediction without variable selection or cleaning. CoRR (2019)