Deasy, Jacob

3 publications

ICLRW 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 L. Allyn-Feuer, Daniel D Seaton, Stephen Young

ICMLW 2021 $\alpha$-VAEs : Optimising Variational Inference by Learning Data-Dependent Divergence Skew Jacob Deasy, Tom Andrew McIver, Nikola Simidjievski, Pietro Lio

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