Author

Matthew Baugh

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Sep 2026

A Principled Approach to Unsupervised Anomaly Detection

Traditional unsupervised anomaly detection (UAD) methods are designed to flag or localise deviations from a normative distribution, ignoring the underlying generative mechanisms of the anomalies. Yet the nature of an anomaly is often as important as its presence. We reformulate UAD as a Bayesian inverse problem, in whi...

James Myles, Matthew Baugh, J. Müller et al. · 1 citation

#machine learning Preprint Sep 2026

MMAP: Multimodal Missing-Aware Pretraining for Longitudinal Alzheimer's Prediction

Clinical decision making heavily relies on predicting the disease progression trajectory by seeking to understand patient's health status which is characterised by multimodal medical data. AI holds great potential for learning useful representations from multimodal medical data to predict disease progression and aid cl...

Fiona Kekwick, Matthew Baugh, Bernhard Kainz et al. · 0 citations