Tom Charnock

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Likelihood-free inference with deep Gaussian processes

Machine learning and the physical sciences

Computer-inspired quantum experiments

Automatic physical inference

Automatic physical inference with information maximizing neural networks

Fast likelihood-free cosmology with neural density estimators and active learning