Efficient Generalized Spherical CNNs. - Oliver J. Cobb; Christopher G. R. Wallis; Augustine N. Mavor-Parker; Augustin Marignier; Matthew A. Price; Mayeul d'Avezac; Jason D. McEwen (ICLR, 2021)

Escaping Stochastic Traps with Aleatoric Mapping Agents. - Augustine N. Mavor-Parker; Kimberly A. Young; Caswell Barry; Lewis D. Griffin (CoRR, 2021)

Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs. - Jason D. McEwen; Christopher G. R. Wallis; Augustine N. Mavor-Parker (ICLR, 2022)

How to Stay Curious while avoiding Noisy TVs using Aleatoric Uncertainty Estimation. - Augustine N. Mavor-Parker; Kimberly A. Young; Caswell Barry; Lewis D. Griffin (ICML, 2022)

A Simple Approach for State-Action Abstraction using a Learned MDP Homomorphism. - Augustine N. Mavor-Parker; Andrea Banino; Lewis D. Griffin; Caswell Barry (CoRR, 2022)

Functional Connectome: Approximating Brain Networks with Artificial Neural Networks. - Sihao Liu; Augustine N. Mavor-Parker; Caswell Barry (CoRR, 2022)

Towards Automated Circuit Discovery for Mechanistic Interpretability. - Arthur Conmy; Augustine N. Mavor-Parker; Aengus Lynch; Stefan Heimersheim; Adrià Garriga-Alonso (NeurIPS, 2023)

Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning. - Augustine N. Mavor-Parker; Matthew J. Sargent; Caswell Barry; Lewis D. Griffin; Clare Lyle (CoRR, 2024)