Torchbearer: A Model Fitting Library for PyTorch. - Ethan Harris; Matthew Painter; Jonathon S. Hare (CoRR, 2018)

A Biologically Inspired Visual Working Memory for Deep Networks. - Ethan Harris; Mahesan Niranjan; Jonathon S. Hare (CoRR, 2019)

Spatial and Colour Opponency in Anatomically Constrained Deep Networks. - Ethan Harris; Daniela Mihai; Jonathon S. Hare (CoRR, 2019)

Understanding and Enhancing Mixed Sample Data Augmentation. - Ethan Harris; Antonia Marcu; Matthew Painter; Mahesan Niranjan; Adam Prügel-Bennett; Jonathon S. Hare (CoRR, 2020)

How Convolutional Neural Network Architecture Biases Learned Opponency and Colour Tuning. - Ethan Harris; Daniela Mihai; Jonathon S. Hare (CoRR, 2020)

What we ought to do is...': Are we More Willing to Defer to Experts who Provide Descriptive Facts Than Those who Offer Prescriptive Advice? - Ethan Harris; Chris Lawson (CogSci, 2021)

How Convolutional Neural Network Architecture Biases Learned Opponency and Color Tuning. - Ethan Harris; Daniela Mihai; Jonathon S. Hare (Neural Comput., 2021)

Accentuate the negative: Expectations about sampling procedures determine the impact of negative evidence on children's inductive judgments. - Chris Lawson; Vittoria Sipone; Ethan Harris (CogSci, 2023)