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E. Wagstaff

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • physics.space-ph1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedPrediction of GNSS Phase Scintillations: A Machine Learning Approach

10 citations · 14 across the 2 of their papers we have counts for

collaborators

4 papers

physics.space-ph2019★ 4 cited

Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder

Kara Lamb, Garima Malhotra, Athanasios Vlontzos +7

High energy particles originating from solar activity travel along the the Earth's magnetic field and interact with the atmosphere around the higher latitudes. These interactions o…

cs.LG2019★ 10 cited

Prediction of GNSS Phase Scintillations: A Machine Learning Approach

Kara Lamb, Garima Malhotra, Athanasios Vlontzos +7

A Global Navigation Satellite System (GNSS) uses a constellation of satellites around the earth for accurate navigation, timing, and positioning. Natural phenomena like space weath…

cs.LG2019

On the Limitations of Representing Functions on Sets

Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke +2

Recent work on the representation of functions on sets has considered the use of summation in a latent space to enforce permutation invariance. In particular, it has been conjectur…

stat.ML2018

Batch Selection for Parallelisation of Bayesian Quadrature

Ed Wagstaff, Saad Hamid, Michael Osborne

Integration over non-negative integrands is a central problem in machine learning (e.g. for model averaging, (hyper-)parameter marginalisation, and computing posterior predictive d…

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