Flaglets for studying the large-scale structure of the Universe. - Boris Leistedt; Hiranya V. Peiris; Jason D. McEwen (CoRR, 2013)

On spin scale-discretised wavelets on the sphere for the analysis of CMB polarisation. - Jason D. McEwen; Martin Büttner; Boris Leistedt; Hiranya V. Peiris; Pierre Vandergheynst; Yves Wiaux (CoRR, 2014)

3D weak lensing with spin wavelets on the ball. - Boris Leistedt; Jason D. McEwen; Thomas D. Kitching; Hiranya V. Peiris (CoRR, 2015)

Directional spin wavelets on the sphere. - Jason D. McEwen; Boris Leistedt; Martin Büttner; Hiranya V. Peiris; Yves Wiaux (CoRR, 2015)

A Novel Sampling Theorem on the Rotation Group. - Jason D. McEwen; Martin Büttner; Boris Leistedt; Hiranya V. Peiris; Yves Wiaux (IEEE Signal Process. Lett., 2015)

Deep learning insights into cosmological structure formation. - Luisa Lucie-Smith; Hiranya V. Peiris; Andrew Pontzen; Brian Nord; Jeyan Thiyagalingam (CoRR, 2020)

Discovering the building blocks of dark matter halo density profiles with neural networks. - Luisa Lucie-Smith; Hiranya V. Peiris; Andrew Pontzen; Brian Nord; Jeyan Thiyagalingam; Davide Piras (CoRR, 2022)

Explaining dark matter halo density profiles with neural networks. - Luisa Lucie-Smith; Hiranya V. Peiris; Andrew Pontzen (CoRR, 2023)

A robust estimator of mutual information for deep learning interpretability. - Davide Piras; Hiranya V. Peiris; Andrew Pontzen; Luisa Lucie-Smith; Ningyuan Guo; Brian Nord (Mach. Learn. Sci. Technol., 2023)