VBALD - Variational Bayesian Approximation of Log Determinants. - Diego Granziol; Edward Wagstaff; Bin Xin Ru; Michael A. Osborne; Stephen J. Roberts (CoRR, 2018)

Batch Selection for Parallelisation of Bayesian Quadrature. - Edward Wagstaff; Saad Hamid; Michael A. Osborne (CoRR, 2018)

On the Limitations of Representing Functions on Sets. - Edward Wagstaff; Fabian Fuchs; Martin Engelcke; Ingmar Posner; Michael A. Osborne (ICML, 2019)

Prediction of GNSS Phase Scintillations: A Machine Learning Approach. - Kara Lamb; Garima Malhotra; Athanasios Vlontzos; Edward Wagstaff; Atilim Günes Baydin; Anahita Bhiwandiwalla; Yarin Gal; Alfredo Kalaitzis; Anthony Reina; Asti Bhatt (CoRR, 2019)

Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder. - Kara Lamb; Garima Malhotra; Athanasios Vlontzos; Edward Wagstaff; Atilim Günes Baydin; Anahita Bhiwandiwalla; Yarin Gal; Alfredo Kalaitzis; Anthony Reina; Asti Bhatt (CoRR, 2019)

Iterative SE(3)-Transformers. - Fabian B. Fuchs; Edward Wagstaff; Justas Dauparas; Ingmar Posner (GSI, 2021)

Universal Approximation of Functions on Sets. - Edward Wagstaff; Fabian B. Fuchs; Martin Engelcke; Michael A. Osborne; Ingmar Posner (J. Mach. Learn. Res., 2022)