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Christopher K. I. Williams

On Suspicious Coincidences and Pointwise Mutual Information


Mar 15, 2022
Christopher K. I. Williams

* 7 pages, 1 figure 

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Align-Deform-Subtract: An Interventional Framework for Explaining Object Differences


Mar 09, 2022
Cian Eastwood, Li Nanbo, Christopher K. I. Williams


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Tracking and Long-Term Identification Using Non-Visual Markers


Dec 20, 2021
Michael P. J. Camilleri, Li Zhang, Rasneer S. Bains, Andrew Zisserman, Christopher K. I. Williams


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Identifying the Units of Measurement in Tabular Data


Nov 23, 2021
Taha Ceritli, Christopher K. I. Williams


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ptype-cat: Inferring the Type and Values of Categorical Variables


Nov 23, 2021
Taha Ceritli, Christopher K. I. Williams


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Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration


Jul 12, 2021
Cian Eastwood, Ian Mason, Christopher K. I. Williams, Bernhard Schölkopf


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On Memorization in Probabilistic Deep Generative Models


Jun 06, 2021
Gerrit J. J. van den Burg, Christopher K. I. Williams


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Automating Data Science: Prospects and Challenges


May 12, 2021
Tijl De Bie, Luc De Raedt, José Hernández-Orallo, Holger H. Hoos, Padhraic Smyth, Christopher K. I. Williams

* 19 pages, 3 figures. Accepted for publication (April 2021) in Communications of the ACM 

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Inference for Generative Capsule Models


Mar 11, 2021
Alfredo Nazabal, Christopher K. I. Williams


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VAEs in the Presence of Missing Data


Jun 09, 2020
Mark Collier, Alfredo Nazabal, Christopher K. I. Williams


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An Evaluation of Change Point Detection Algorithms


Mar 13, 2020
Gerrit J. J. van den Burg, Christopher K. I. Williams

* For code and data, see https://github.com/alan-turing-institute/TCPDBench 

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ptype: Probabilistic Type Inference


Nov 22, 2019
Taha Ceritli, Christopher K. I. Williams, James Geddes


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Customizing Sequence Generation with Multi-Task Dynamical Systems


Oct 11, 2019
Alex Bird, Christopher K. I. Williams


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Robust Variational Autoencoders for Outlier Detection in Mixed-Type Data


Jul 15, 2019
Simão Eduardo, Alfredo Nazábal, Christopher K. I. Williams, Charles Sutton

* In submission to NeurIPS 2019 

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The Extended Dawid-Skene Model: Fusing Information from Multiple Data Schemas


Jun 04, 2019
Michael P. J. Camilleri, Christopher K. I. Williams

* submitted to ECMLPKDD 2019 Workshop on Automating Data Science (ADS) 

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Multi-Task Time Series Analysis applied to Drug Response Modelling


Mar 21, 2019
Alex Bird, Christopher K. I. Williams, Christopher Hawthorne

* To appear in AISTATS 2019 

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Learning Direct Optimization for Scene Understanding


Dec 18, 2018
Lukasz Romaszko, Christopher K. I. Williams, John Winn


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Autoencoders and Probabilistic Inference with Missing Data: An Exact Solution for The Factor Analysis Case


Sep 03, 2018
Christopher K. I. Williams, Charlie Nash, Alfredo Nazábal

* 7 pages, 2 figures 

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Model Criticism in Latent Space


Jul 02, 2018
Sohan Seth, Iain Murray, Christopher K. I. Williams


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Inverting Supervised Representations with Autoregressive Neural Density Models


Jun 01, 2018
Charlie Nash, Nate Kushman, Christopher K. I. Williams


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Predicting Patient State-of-Health using Sliding Window and Recurrent Classifiers


Dec 02, 2016
Adam McCarthy, Christopher K. I. Williams

* NIPS 2016 Workshop on Machine Learning for Health 

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Input-Output Non-Linear Dynamical Systems applied to Physiological Condition Monitoring


Oct 08, 2016
Konstantinos Georgatzis, Christopher K. I. Williams, Christopher Hawthorne

* 15 pages, 4 figures, Presented at 2016 Machine Learning and Healthcare Conference (MLHC 2016), Los Angeles, CA, camera ready version 

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Tree-Cut for Probabilistic Image Segmentation


Jun 11, 2015
Shell X. Hu, Christopher K. I. Williams, Sinisa Todorovic


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Discriminative Switching Linear Dynamical Systems applied to Physiological Condition Monitoring


Apr 24, 2015
Konstantinos Georgatzis, Christopher K. I. Williams


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Renewal Strings for Cleaning Astronomical Databases


Aug 07, 2014
Amos J. Storkey, Nigel C. Hambly, Christopher K. I. Williams, Robert G. Mann

* Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003) 

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A Framework for Evaluating Approximation Methods for Gaussian Process Regression


Nov 05, 2012
Krzysztof Chalupka, Christopher K. I. Williams, Iain Murray

* 19 pages, 4 figures 

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