Articoli con mandati relativi all'accesso pubblico - Chris WilliamsUlteriori informazioni
Disponibili pubblicamente: 31
A framework for the quantitative evaluation of disentangled representations
C Eastwood, CKI Williams
6th International Conference on Learning Representations, 2018
Mandati: UK Engineering and Physical Sciences Research Council
Approximation methods for Gaussian process regression
J Quinonero-Candela, CE Rasmussen, CKI Williams
Mandati: German Research Foundation
The shape variational autoencoder: A deep generative model of part‐segmented 3d objects
C Nash, CKI Williams
Computer Graphics Forum 36 (5), 1-12, 2017
Mandati: UK Engineering and Physical Sciences Research Council
Autoregressive hidden Markov models for the early detection of neonatal sepsis
I Stanculescu, CKI Williams, Y Freer
IEEE journal of biomedical and health informatics 18 (5), 1560-1570, 2013
Mandati: UK Engineering and Physical Sciences Research Council
On memorization in probabilistic deep generative models
G van den Burg, C Williams
Advances in Neural Information Processing Systems 34, 27916-27928, 2021
Mandati: UK Engineering and Physical Sciences Research Council
Vision-as-inverse-graphics: Obtaining a rich 3d explanation of a scene from a single image
L Romaszko, CKI Williams, P Moreno, P Kohli
Proceedings of the IEEE International Conference on Computer Vision …, 2017
Mandati: UK Engineering and Physical Sciences Research Council
Automating data science
T De Bie, L De Raedt, J Hernández-Orallo, HH Hoos, P Smyth, ...
Communications of the ACM 65 (3), 76-87, 2022
Mandati: US National Science Foundation, US National Institutes of Health, US …
Robust variational autoencoders for outlier detection and repair of mixed-type data
S Eduardo, A Nazábal, CKI Williams, C Sutton
International Conference on Artificial Intelligence and Statistics, 4056-4066, 2020
Mandati: UK Engineering and Physical Sciences Research Council
Endoscopic sensing of alveolar pH
D Choudhury, MG Tanner, S McAughtrie, F Yu, B Mills, TR Choudhary, ...
Biomedical optics express 8 (1), 243-259, 2016
Mandati: UK Engineering and Physical Sciences Research Council, UK Medical Research …
A Hierarchical Switching Linear Dynamical System Applied to the Detection of Sepsis in Neonatal Condition Monitoring.
I Stanculescu, CKI Williams, Y Freer
UAI 14, 752-761, 2014
Mandati: UK Engineering and Physical Sciences Research Council
Inverting supervised representations with autoregressive neural density models
C Nash, N Kushman, CKI Williams
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Mandati: UK Engineering and Physical Sciences Research Council
A regularized discriminative model for the prediction of protein–peptide interactions
WP Lehrach, D Husmeier, CKI Williams
Bioinformatics 22 (5), 532-540, 2006
Mandati: Chief Scientist Office, Scottish Executive
Assessing the utility of autofluorescence-based pulmonary optical endomicroscopy to predict the malignant potential of solitary pulmonary nodules in humans
S Seth, AR Akram, P McCool, J Westerfeld, D Wilson, S McLaughlin, ...
Scientific Reports 6 (1), 31372, 2016
Mandati: Cancer Research UK, UK Engineering and Physical Sciences Research Council
Localisation microscopy with quantum dots using non-negative matrix factorisation
O Mandula, IŠ Šestak, R Heintzmann, CKI Williams
Optics express 22 (20), 24594-24605, 2014
Mandati: UK Biotechnology and Biological Sciences Research Council, UK Engineering …
Estimating bacterial and cellular load in fcfm imaging
S Seth, AR Akram, K Dhaliwal, CKI Williams
Journal of Imaging 4 (1), 11, 2018
Mandati: Cancer Research UK, UK Engineering and Physical Sciences Research Council …
Input-output non-linear dynamical systems applied to physiological condition monitoring
K Georgatzis, C Williams, C Hawthorne
Machine Learning for Healthcare Conference, 1-16, 2016
Mandati: UK Engineering and Physical Sciences Research Council
Unit-level surprise in neural networks
C Eastwood, I Mason, CKI Williams
I (Still) Can't Believe It's Not Better! Workshop at NeurIPS 2021, 33-40, 2022
Mandati: UK Engineering and Physical Sciences Research Council
Model criticism in latent space
S Seth, I Murray, CKI Williams
Mandati: UK Engineering and Physical Sciences Research Council
ptype: Probabilistic type inference
T Ceritli, CKI Williams, J Geddes
Data Mining and Knowledge Discovery 34, 870-904, 2020
Mandati: UK Engineering and Physical Sciences Research Council
Ai assistants: A framework for semi-automated data wrangling
T Petricek, GJJ van Den Burg, A Nazábal, T Ceritli, E Jiménez-Ruiz, ...
IEEE Transactions on Knowledge and Data Engineering 35 (9), 9295-9306, 2022
Mandati: UK Engineering and Physical Sciences Research Council, Research Council of …
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