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ORCIDWilliam J. Wilkinson
2020 – today
- 2023
[j1]William J. Wilkinson, Simo Särkkä, Arno Solin:
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees. J. Mach. Learn. Res. 24: 83:1-83:50 (2023)- 2021
- [c8]William J. Wilkinson, Arno Solin, Vincent Adam:
Sparse Algorithms for Markovian Gaussian Processes. AISTATS 2021: 1747-1755 - [c7]Oliver Hamelijnck, William J. Wilkinson, Niki Andreas Lopi, Arno Solin, Theodoros Damoulas:
Spatio-Temporal Variational Gaussian Processes. NeurIPS 2021: 23621-23633 - [i9]William J. Wilkinson, Arno Solin, Vincent Adam:
Sparse Algorithms for Markovian Gaussian Processes. CoRR abs/2103.10710 (2021) - [i8]William J. Wilkinson, Simo Särkkä, Arno Solin:
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees. CoRR abs/2111.01721 (2021) - [i7]Oliver Hamelijnck, William J. Wilkinson, Niki Andreas Lopi, Arno Solin, Theodoros Damoulas:
Spatio-Temporal Variational Gaussian Processes. CoRR abs/2111.01732 (2021) - 2020
- [c6]Lassi Meronen
, William J. Wilkinson, Arno Solin:
Movement Tracking by Optical Flow Assisted Inertial Navigation. FUSION 2020: 1-8 - [c5]William J. Wilkinson, Paul E. Chang, Michael Riis Andersen, Arno Solin:
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes. ICML 2020: 10270-10281 - [c4]Paul E. Chang, William J. Wilkinson, Mohammad Emtiyaz Khan, Arno Solin:
Fast Variational Learning in State-Space Gaussian Process Models. MLSP 2020: 1-6 - [i6]Lassi Meronen, William J. Wilkinson, Arno Solin:
Movement Tracking by Optical Flow Assisted Inertial Navigation. CoRR abs/2006.13856 (2020) - [i5]Paul E. Chang, William J. Wilkinson, Mohammad Emtiyaz Khan, Arno Solin:
Fast Variational Learning in State-Space Gaussian Process Models. CoRR abs/2007.04731 (2020) - [i4]William J. Wilkinson, Paul E. Chang, Michael Riis Andersen, Arno Solin:
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes. CoRR abs/2007.05994 (2020)
2010 – 2019
- 2019
- [b1]William J. Wilkinson:
Gaussian process modelling for audio signals. Queen Mary University of London, UK, 2019 - [c3]William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin:
Unifying Probabilistic Models for Time-frequency Analysis. ICASSP 2019: 3352-3356 - [c2]William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin:
End-to-End Probabilistic Inference for Nonstationary Audio Analysis. ICML 2019: 6776-6785 - [i3]William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin:
End-to-End Probabilistic Inference for Nonstationary Audio Analysis. CoRR abs/1901.11436 (2019) - 2018
- [c1]William J. Wilkinson, Joshua D. Reiss, Dan Stowell:
A Generative Model for Natural Sounds Based on Latent Force Modelling. LVA/ICA 2018: 259-269 - [i2]William J. Wilkinson, Joshua D. Reiss, Dan Stowell:
A Generative Model for Natural Sounds Based on Latent Force Modelling. CoRR abs/1802.00680 (2018) - [i1]William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin:
Unifying Probabilistic Models for Time-Frequency Analysis. CoRR abs/1811.02489 (2018)
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