Scale-discretised ridgelet transform on the sphere. - Jason D. McEwen; Matthew A. Price (EUSIPCO, 2019)

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)

Sparse image reconstruction on the sphere: a general approach with uncertainty quantification. - Matthew A. Price; Luke Pratley; Jason D. McEwen (CoRR, 2021)

Bayesian variational regularization on the ball. - Matthew A. Price; Jason D. McEwen (CoRR, 2021)

Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions. - Jeremy Ocampo; Matthew A. Price; Jason D. McEwen (ICLR, 2023)

Scalable Bayesian uncertainty quantification with data-driven priors for radio interferometric imaging. - Tobías I. Liaudat; Matthijs Mars; Matthew A. Price; Marcelo Pereyra; Marta M. Betcke; Jason D. McEwen (CoRR, 2023)

Differentiable and accelerated wavelet transforms on the sphere and ball. - Matthew A. Price; Alicja Polanska; Jessica J. Whitney; Jason D. McEwen (CoRR, 2024)

The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparison. - Davide Piras; Alicja Polanska; Alessio Spurio Mancini; Matthew A. Price; Jason D. McEwen (CoRR, 2024)

Differentiable and accelerated spherical harmonic and Wigner transforms. - Matthew A. Price; Jason D. McEwen (J. Comput. Phys., 2024)