Christopher K. I. Williams

University of Edinburgh — United Kingdom

Computer Science · Physical Sciences

60h-index84.3kcitations251works1.82yr avg
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Research Topics

Neural Networks and Applications(42), Gaussian Processes and Bayesian Inference(37), Advanced Image and Video Retrieval Techniques(24), Image Retrieval and Classification Techniques(22), Generative Adversarial Networks and Image Synthesis(20)

Publications250 total

Fusing Foveal Fixations Using Linear Retinal Transformations and Bayesian Experimental Design
Neural Computation·2025Open Access
Fusing Foveal Fixations Using Linear Retinal Transformations and Bayesian Experimental Design
arXiv (Cornell University)·2025Open Access
Structured Generative Models for Scene Understanding
International Journal of Computer Vision·2024· 3 citedOpen Access
Of Mice and Mates: Automated Classification and Modelling of Mouse Behaviour in Groups Using a Single Model Across Cages
International Journal of Computer Vision·2024· 4 citedOpen Access
Constructing adverse event timelines for patients receiving CAR-T therapy using large language models.
Journal of Clinical Oncology·2024· 3 cited
Naive Bayes Classifiers and One-hot Encoding of Categorical Variables
arXiv (Cornell University)·2024· 1 citedOpen Access
RepoGraph: A Novel Semantic Code Exploration Tool for Python Repositories Based on Knowledge Graphs and Deep Learning
2023· 1 citedOpen Access
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence
arXiv (Cornell University)·2023· 11 citedOpen Access
Persistent animal identification leveraging non-visual markers
Machine Vision and Applications·2023· 4 citedOpen Access
Of Mice and Mates: Automated Classification and Modelling of Mouse Behaviour in Groups using a Single Model across Cages
arXiv (Cornell University)·2023Open Access
Structured Generative Models for Scene Understanding
arXiv (Cornell University)·2023· 2 citedOpen Access
Inference and Learning for Generative Capsule Models
Neural Computation·2023· 4 citedOpen Access
AI Assistants: A Framework for Semi-Automated Data Wrangling
IEEE Transactions on Knowledge and Data Engineering·2022· 17 citedOpen Access
AI Assistants: A Framework for Semi-Automated Data Wrangling
arXiv (Cornell University)·2022Open Access
The Elliptical Quartic Exponential Distribution: An Annular Distribution Obtained via Maximum Entropy
arXiv (Cornell University)·2022Open Access
Multi-Task Dynamical Systems
arXiv (Cornell University)·2022Open Access
Inference and Learning for Generative Capsule Models
arXiv (Cornell University)·2022Open Access
On Suspicious Coincidences and Pointwise Mutual Information
Neural Computation·2022Open Access
EMNIST-DA: A dataset for studying measurement shift
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
EMNIST-DA: A dataset for studying measurement shift
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
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Frequent Co-authors

Chris Bishop(6), Carl Edward Rasmussen(5), Mark Everingham(5), Andrew Zisserman(5), Edwin V. Bonilla(5), Luc Van Gool(4), Markus Svensén(4), Geoffrey E. Hinton(4), John Winn(3), Kian Ming A. Chai(3), Matthias Seeger(3), Moray Allan(3), Grigori Fursin(3), Michael O’Boyle(3), John Thomson(3), Michael Revow(3), S. M. Ali Eslami(2), John Shawe‐Taylor(2), Jianguo Zhang(2), Nicolas Heess(2)