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William J. Wilkinson

2 accepted papers

2021

Spatio-Temporal Variational Gaussian Processes

NeurIPS 2021poster

We introduce a scalable approach to Gaussian process inference that combines spatio-temporal filtering with natural gradient variational inference, resulting in a non-conjugate GP method for multivariate data that scales linearly with respect to time. Our natural gradient approach enables applicatio…

2019

Unifying Probabilistic Models for Time-frequency Analysis

ICASSP 2019accepted

In audio signal processing, probabilistic time-frequency models have many benefits over their non-probabilistic counterparts. They adapt to the incoming signal, quantify uncertainty, and measure correlation between the signal’s amplitude and phase information, making time domain resynthesis straight…

Cited by 0SourceScholar