A Generative Model for Natural Sounds Based on Latent Force Modelling. - William J. Wilkinson; Joshua D. Reiss; Dan Stowell (LVA/ICA, 2018)

Unifying Probabilistic Models for Time-frequency Analysis. - William J. Wilkinson; Michael Riis Andersen; Joshua D. Reiss; Dan Stowell; Arno Solin (ICASSP, 2019)

End-to-End Probabilistic Inference for Nonstationary Audio Analysis. - William J. Wilkinson; Michael Riis Andersen; Joshua D. Reiss; Dan Stowell; Arno Solin (ICML, 2019)

Gaussian process modelling for audio signals. - William J. Wilkinson (2019)

Movement Tracking by Optical Flow Assisted Inertial Navigation. - Lassi Meronen; William J. Wilkinson; Arno Solin (FUSION, 2020)

State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes. - William J. Wilkinson; Paul E. Chang; Michael Riis Andersen; Arno Solin (ICML, 2020)

Fast Variational Learning in State-Space Gaussian Process Models. - Paul E. Chang; William J. Wilkinson; Mohammad Emtiyaz Khan; Arno Solin (MLSP, 2020)

Sparse Algorithms for Markovian Gaussian Processes. - William J. Wilkinson; Arno Solin; Vincent Adam (AISTATS, 2021)

Spatio-Temporal Variational Gaussian Processes. - Oliver Hamelijnck; William J. Wilkinson; Niki Andreas Lopi; Arno Solin; Theodoros Damoulas (NeurIPS, 2021)

Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees. - William J. Wilkinson; Simo Särkkä; Arno Solin (J. Mach. Learn. Res., 2023)