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Picture for Edward Wagstaff

Universal Approximation of Functions on Sets


Jul 05, 2021
Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke, Michael A. Osborne, Ingmar Posner

* 54 pages, 13 figures 

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Iterative SE(3)-Transformers


Mar 16, 2021
Fabian B. Fuchs, Edward Wagstaff, Justas Dauparas, Ingmar Posner


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Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder


Oct 04, 2019
Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atılım Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt

* Four first authors contributed equally; Paper accepted in Machine Learning for the Physical Sciences workshop of NeurIPS 2019; Camera Ready Version to Follow 

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Prediction of GNSS Phase Scintillations: A Machine Learning Approach


Oct 03, 2019
Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atılım Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt

* First 4 authors contributed equally Paper accepted in Machine Learning for the Physical Sciences workshop of NeurIPS 2019 Camera Ready Version to Follow 

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On the Limitations of Representing Functions on Sets


Jan 25, 2019
Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke, Ingmar Posner, Michael Osborne

* Submitted to the International Conference on Machine Learning (2019) for review 

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VBALD - Variational Bayesian Approximation of Log Determinants


Feb 21, 2018
Diego Granziol, Edward Wagstaff, Bin Xin Ru, Michael Osborne, Stephen Roberts


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