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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
portfolio
publications
A Synthesis Model for Mammalian Vocalisation Sound Effects
Published in Audio Engineering Society 61st International Conference: Audio for Games, 2016
Recommended citation: William J. Wilkinson, Joshua D. Reiss and Dan Stowell, A Synthesis Model for Mammalian Vocalisation Sound Effects, in Audio Engineering Society 61st International Conference: Audio for Games, 2016 https://www.eecs.qmul.ac.uk/~josh/documents/2016/wilkinson%20reiss%20-%202016.pdf
Latent Force Models for Sound: Learning Modal Synthesis Parameters and Excitation Functions from Audio Recordings
Published in International Conference on Digital Audio Effects (DAFx) 2017, 2017
Recommended citation: William J. Wilkinson, Joshua D. Reiss and Dan Stowell, Latent Force Models for Sound: Learning Modal Synthesis Parameters and Excitation Functions from Audio Recordings, in International Conference on Digital Audio Effects (DAFx) 2017. http://www.dafx17.eca.ed.ac.uk/papers/DAFx17_paper_19.pdf
A Generative Model for Natural Sounds Based on Latent Force Modelling
Published in International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA) 2018, 2018
Recommended citation: William J. Wilkinson, Joshua D. Reiss and Dan Stowell, A Generative Model for Natural Sounds Based on Latent Force Modelling, in International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA) 2018. https://arxiv.org/pdf/1802.00680.pdf
Unifying Probabilistic Models for Time-Frequency Analysis
Published in International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
Recommended citation: William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell and Arno Solin, Unifying Probabilistic Models for Time-Frequency Analysis, in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019. https://arxiv.org/pdf/1811.02489.pdf
End-to-End Probabilistic Inference for Nonstationary Audio Analysis
Published in European Signal Processing Conference (EUSIPCO) 2019, 2019
Recommended citation: William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell and Arno Solin, End-to-End Probabilistic Inference for Nonstationary Audio Analysis, in International Conference on Machine Learning (ICML) 2019 http://proceedings.mlr.press/v97/wilkinson19a.html
Gaussian Process Modelling for Audio Signals
Published in , 2019
Recommended citation: William J. Wilkinson, Gaussian Process Modelling for Audio Signals. https://qmro.qmul.ac.uk/xmlui/handle/123456789/61329
Movement Tracking by Optical Flow Assisted Inertial Navigation
Published in , 2020
Recommended citation: Lassi Meronen, William J. Wilkinson and Arno Solin, Movement Tracking by Optical Flow Assisted Inertial Navigation, in International Conference on Information Fusion (FUSION) 2020. https://arxiv.org/pdf/2006.13856.pdf
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes
Published in , 2020
Recommended citation: William J. Wilkinson, Paul E. Chang, Michael Riis Andersen and Arno Solin, State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes, in International Conference on Machine Learning (ICML) 2020. https://arxiv.org/pdf/2007.05994.pdf
Fast Variational Learning in State-Space Gaussian Process Models
Published in , 2020
Recommended citation: Paul E. Chang, William J. Wilkinson, Mohammad Emtiyaz Khan and Arno Solin, Fast Variational Learning in State-Space Gaussian Process Models, in International Workshop on Machine Learning for Signal Processing (MLSP) 2020. https://arxiv.org/pdf/2007.04731.pdf
Sparse Algorithms for Markovian Gaussian Processes
Published in , 2021
Recommended citation: William J. Wilkinson, Arno Solin and Vincent Adam, Sparse Algorithms for Markovian Gaussian Processes, in International Conference on Artificial Intelligence and Statistics (AISTATS) 2021. https://arxiv.org/pdf/2103.10710.pdf
Spatio-Temporal Variational Gaussian Processes
Published in , 2021
Recommended citation: Oliver Hamelijnck*, William J. Wilkinson*, Niki Loppi, Arno Solin and Theodoros Damoulas, Spatio-Temporal Variational Gaussian Processes, in 35th Conference on Neural Information Processing Systems (NeurIPS) 2021. https://arxiv.org/pdf/2111.01732.pdf
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees
Published in , 2021
Recommended citation: William J. Wilkinson, Simo Särkkä and Arno Solin, Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees, arXiv preprint arXiv:2111.01721 2021. https://arxiv.org/pdf/2111.01721.pdf
talks
Probabilistic Models for Audio Signals
Published:
Recommended citation: Probabilistic Models for Audio Signals.
Models and Inference for Temporal Gaussian Processes
Published:
Recommended citation: Models and Inference for Temporal Gaussian Processes.
Models and Inference for Temporal Gaussian Processes
Published:
Recommended citation: Models and Inference for Temporal Gaussian Processes.
Models and Inference for Temporal Gaussian Processes
Published:
Recommended citation: Models and Inference for Temporal Gaussian Processes.
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes
Published:
Recommended citation: State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes.
Sparse Algorithms for Markovian Gaussian Processes
Published:
Recommended citation: Sparse Algorithms for Markovian Gaussian Processes.
teaching
2016 2019? Senior Sd
Undergraduate, Queen Mary University of London, 1900
2017 2018? Ta Dm
Undergraduate & Postgraduate, Queen Mary University of London, 1900
2018 2019? Lecturer Sd
Undergraduate, Queen Mary University of London, 1900
2019 2021? Introai
Undergraduate, Aalto University, 1900
Electronic lab sessions to establish basic skills in electronics. Read more
2020 2021? Lecturer Gp
Postgraduate, Aalto University, 1900