research
∙
03/28/2020
Learning medical triage from clinicians using Deep Q-Learning
Medical Triage is of paramount importance to healthcare systems, allowin...
share
research
∙
01/16/2020
Masking schemes for universal marginalisers
We consider the effect of structure-agnostic and structure-dependent mas...
research
∙
10/22/2019
Leveraging directed causal discovery to detect latent common causes
The discovery of causal relationships is a fundamental problem in scienc...
research
∙
10/17/2019
MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming
We elaborate on using importance sampling for causal reasoning, in parti...
research
∙
10/16/2019
Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs
Probabilistic programming languages (PPLs) are powerful modelling tools ...
research
∙
10/15/2019
Counterfactual diagnosis
Causal knowledge is vital for effective reasoning in science and medicin...
research
∙
11/12/2018
Universal Marginalizer for Amortised Inference and Embedding of Generative Models
Probabilistic graphical models are powerful tools which allow us to form...
research
∙
06/27/2018
A comparative study of artificial intelligence and human doctors for the purpose of triage and diagnosis
Online symptom checkers have significant potential to improve patient ca...
research
∙
11/02/2017
