A new framework for the formation of invariants and multiple-view constraints in computer vision. - Joan Lasenby; Eduardo Bayro-Corrochano; Anthony N. Lasenby; Gerald Sommer (ICIP (2), 1996)

A new methodology for computing invariants in computer vision. - Joan Lasenby; Eduardo Bayro-Corrochano; Anthony N. Lasenby; Gerald Sommer (ICPR, 1996)

New Geometric Methods for Computer Vision: An Application to Structure and Motion Estimation. - Joan Lasenby; William J. Fitzgerald 001; Anthony N. Lasenby; C. J. L. Doran (Int. J. Comput. Vis., 1998)

Surface Evolution and Representation using Geometric Algebra. - Anthony N. Lasenby; Joan Lasenby (IMA Conference on the Mathematics of Surfaces, 2000)

Conformal Geometry, Euclidean Space and Geometric Algebra - Chris Doran; Anthony N. Lasenby; Joan Lasenby (CoRR, 2002)

Recent Applications of Conformal Geometric Algebra. - Anthony N. Lasenby (IWMM/GIAE, 2004)

A directional continuous wavelet transform on the sphere. - Jason D. McEwen; Michael P. Hobson; Anthony N. Lasenby (CoRR, 2006)

Fast Directional Continuous Spherical Wavelet Transform Algorithms. - Jason D. McEwen; Michael P. Hobson; Daniel J. Mortlock; Anthony N. Lasenby (IEEE Trans. Signal Process., 2007)

Optimal Filters on the Sphere. - Jason D. McEwen; Michael P. Hobson; Anthony N. Lasenby (IEEE Trans. Signal Process., 2008)

Rigid Body Dynamics in a Constant Curvature Space and the '1D-up' Approach to Conformal Geometric Algebra. - Anthony N. Lasenby (Guide to Geometric Algebra in Practice, 2011)

Rigid Body Dynamics and Conformal Geometric Algebra. - Anthony N. Lasenby; Robert Lasenby; Chris Doran (Guide to Geometric Algebra in Practice, 2011)

Neural Networks for Astronomical Data Analysis and Bayesian Inference. - Philip Graff; Farhan Feroz; Michael P. Hobson; Anthony N. Lasenby (ICDM Workshops, 2013)

SKYNET: an efficient and robust neural network training tool for machine learning in astronomy. - Philip Graff; Farhan Feroz; Michael P. Hobson; Anthony N. Lasenby (CoRR, 2013)

Ray-Tracing Objects and Novel Surface Representations in CGA. - Sushant Achawal; Joan Lasenby; Hugo Hadfield; Anthony N. Lasenby (CGI, 2019)

An efficient method for solving highly oscillatory ordinary differential equations with applications to physical systems. - Fruzsina Julia Agocs; Will Handley; Anthony N. Lasenby; Michael P. Hobson (CoRR, 2019)

Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation. - Edward Higson; Will Handley; Michael P. Hobson; Anthony N. Lasenby (Stat. Comput., 2019)

Compromise-free Bayesian neural networks. - Kamran Javid; Will Handley; Mike Hobson; Anthony N. Lasenby (CoRR, 2020)

Split personalities in Bayesian Neural Networks: the case for full marginalisation. - David Yallup; Will Handley; Mike Hobson; Anthony N. Lasenby; Pablo Lemos (CoRR, 2022)