Aidan Scannell
Aidan Scannell
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Sparse Function-space Representation of Neural Networks
Deep neural networks (NNs) are known to lack uncertainty estimates and struggle to incorporate new data. We present a method that …
Aidan Scannell
,
Riccardo Mereu
,
Paul Chang
,
Ella Tamir
,
Joni Pajarinen
,
Arno Solin
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Identifiable Mixtures of Sparse Variational Gaussian Process Experts
Mixture models are inherently unidentifiable as different combinations of component distributions and mixture weights can generate the …
Aidan Scannell
,
Carl Henrik Ek
,
Arthur Richards
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