Christopher K. I. Williams

Author Info

Name	Affiliation	Papers
CHRISTOPHER K. I. WILLIAMS	Inst Adapt & Neural Computat, Div Informat, 5 Forrest Hill, Edinburgh EH1 2QL, Midlothian, Scotland	93
Collaborators	Citations	PageRank
157	6807	631.16
Referers	Referees	References
15655	1237	926

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Publications (93 rows)

Collaborators (100 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
On Suspicious Coincidences and Pointwise Mutual Information	0	0.34	2022
Automating Data Science	0	0.34	2022
The Effect Of Class Imbalance On Precision-Recall Curves	1	0.41	2021
ptype: Probabilistic Type Inference	0	0.34	2020
Autoencoders and Probabilistic Inference with Missing Data: An Exact Solution for The Factor Analysis Case.	1	0.38	2018
A framework for the quantitative evaluation of disentangled representations	18	0.68	2018
Learning Direct Optimization for scene understanding	0	0.34	2018
Vision-as-Inverse-Graphics: Obtaining a Rich 3D Explanation of a Scene from a Single Image.	0	0.34	2017
Estimating Bacterial Load in FCFM Imaging.	0	0.34	2017
The shape variational autoencoder: A deep generative model of part-segmented 3D objects	14	0.81	2017
Discriminative Switching Linear Dynamical Systems applied to Physiological Condition Monitoring.	1	0.38	2015
Tree-Cut for Probabilistic Image Segmentation	0	0.34	2015
The Pascal Visual Object Classes Challenge: A Retrospective	795	29.54	2015
Visual Boundary Prediction: A Deep Neural Prediction Network and Quality Dissection.	24	1.06	2014
Autoregressive Hidden Markov Models for the Early Detection of Neonatal Sepsis	11	0.71	2014
The Shape Boltzmann Machine: A Strong Model of Object Shape	24	0.92	2014
A Hierarchical Switching Linear Dynamical System Applied To The Detection Of Sepsis In Neonatal Condition Monitoring	2	0.49	2014
Initial findings of high school pre-engineering and non-engineering students' design cognition	0	0.34	2014
Solar radiation prediction based on particle swarm optimization and evolutionary algorithm using recurrent neural networks	1	0.36	2013
A framework for evaluating approximation methods for Gaussian process regression	39	1.84	2013
A Generative Model for Parts-based Object Segmentation.	16	0.78	2012
In Memoriam: Mark Everingham	2	0.99	2012
Multiple Texture Boltzmann Machines.	17	0.94	2012
Multiple Texture Boltzmann Machines	0	0.34	2012
Automating the calibration of a neonatal condition monitoring system	0	0.34	2011
Factored Shapes And Appearances For Parts-Based Object Understanding	4	0.47	2011
Special Issue on Probabilistic Models for Image Understanding, Part II	0	0.34	2011
Transformation equivariant Boltzmann machines	9	0.65	2011
Milepost GCC: Machine Learning Enabled Self-tuning Compiler	76	2.91	2011
Greedy Learning of Binary Latent Trees	22	1.13	2011
The Pascal Visual Object Classes (VOC) Challenge	2971	150.53	2010
Editorial: Special Issue on Probabilistic Models for Image Understanding	1	0.36	2010
Learning Generative Texture Models with extended Fields-of-Experts	132	7.91	2009
Factorial Switching Linear Dynamical Systems Applied to Physiological Condition Monitoring	43	2.67	2009
Object localisation using the Generative Template of Features	1	0.36	2009
Multi-task Gaussian Process Learning of Robot Inverse Dynamics	29	1.24	2008
Kernel Multi-task Learning using Task-specific Features	35	2.87	2007
Kernel Multi-task Learning using Task-specific Features	0	0.34	2007
Known Unknowns: Novelty Detection in Condition Monitoring	11	0.97	2007
Multi-task Gaussian Process Prediction	246	11.37	2007
Sequential Learning of Layered Models from Video	1	0.37	2006
Predictive search distributions	3	0.62	2006
Dictionary of Computer Vision and Image Processing	10	0.76	2006
Dataset Issues in Object Recognition	55	7.07	2006
A regularized discriminative model for the prediction of protein--peptide interactions	10	0.93	2006
Using Machine Learning to Focus Iterative Optimization	180	7.23	2006
The 2005 PASCAL visual object classes challenge	176	23.86	2005
How to Pretend That Correlated Variables Are Independent by Using Difference Observations	15	3.01	2005
On the eigenspectrum of the gram matrix and the generalization error of kernel-PCA	61	4.79	2005
Fast Learning of Sprites using Invariant Features	4	0.42	2005

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