Search Results for author: Adam Baker

Found 6 papers, 1 papers with code

Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs

no code implementations16 Oct 2019 Robert Walecki, Kostis Gourgoulias, Adam Baker, Chris Hart, Chris Lucas, Max Zwiessele, Albert Buchard, Maria Lomeli, Yura Perov, Saurabh Johri

Probabilistic programming languages (PPLs) are powerful modelling tools which allow to formalise our knowledge about the world and reason about its inherent uncertainty.

Probabilistic Programming

A comparative study of artificial intelligence and human doctors for the purpose of triage and diagnosis

no code implementations27 Jun 2018 Salman Razzaki, Adam Baker, Yura Perov, Katherine Middleton, Janie Baxter, Daniel Mullarkey, Davinder Sangar, Michael Taliercio, Mobasher Butt, Azeem Majeed, Arnold DoRosario, Megan Mahoney, Saurabh Johri

We hypothesised that an artificial intelligence (AI) powered triage and diagnostic system would compare favourably with human doctors with respect to triage and diagnostic accuracy.

A Universal Marginalizer for Amortized Inference in Generative Models

no code implementations2 Nov 2017 Laura Douglas, Iliyan Zarov, Konstantinos Gourgoulias, Chris Lucas, Chris Hart, Adam Baker, Maneesh Sahani, Yura Perov, Saurabh Johri

We consider the problem of inference in a causal generative model where the set of available observations differs between data instances.

Resting state brain networks from EEG: Hidden Markov states vs. classical microstates

no code implementations7 Jun 2016 Tammo Rukat, Adam Baker, Andrew Quinn, Mark Woolrich

Functional brain networks exhibit dynamics on the sub-second temporal scale and are often assumed to embody the physiological substrate of cognitive processes.

EEG Electroencephalogram (EEG)

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