Edward Wagstaff

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 10

Top Topics

Machine Learning

Variational Bayesian

Hypervolume Indicator

Top Venues

J. Mach. Learn. Res.

Publications

Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke, Michael A. Osborne, Ingmar Posner
Universal Approximation of Functions on Sets. J. Mach. Learn. Res. 23 (2022)
Fabian B. Fuchs, Edward Wagstaff, Justas Dauparas, Ingmar Posner
Iterative SE(3)-Transformers. GSI (2021)
Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke, Michael A. Osborne, Ingmar Posner
Universal Approximation of Functions on Sets. CoRR (2021)
Fabian B. Fuchs, Edward Wagstaff, Justas Dauparas, Ingmar Posner
Iterative SE(3)-Transformers. CoRR (2021)
Edward Wagstaff, Fabian Fuchs, Martin Engelcke, Ingmar Posner, Michael A. Osborne
On the Limitations of Representing Functions on Sets. ICML (2019)
Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke, Ingmar Posner, Michael A. Osborne
On the Limitations of Representing Functions on Sets. CoRR (2019)
Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atilim Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt
Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder. CoRR (2019)
Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atilim Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt
Prediction of GNSS Phase Scintillations: A Machine Learning Approach. CoRR (2019)
Edward Wagstaff, Saad Hamid, Michael A. Osborne
Batch Selection for Parallelisation of Bayesian Quadrature. CoRR (2018)
Diego Granziol, Edward Wagstaff, Bin Xin Ru, Michael A. Osborne, Stephen J. Roberts
VBALD - Variational Bayesian Approximation of Log Determinants. CoRR (2018)