Christopher K. I. Williams
- Computer Vision and Pattern Recognition top 0.01%
- Artificial Intelligence top 0.01%
- Control and Systems Engineering top 0.1%
- Aerospace Engineering top 0.1%
- Computational Theory and Mathematics top 0.05%
- Co-authors
- Carl Edward RasmussenLuc Van GoolMark EveringhamAndrew ZissermanJohn WinnEdwin V. BonillaKian Ming A. ChaiS. M. Ali Eslami
- Topics
- Gaussian Processes and Bayesian Inference (26 papers)Neural Networks and Applications (24 papers)Advanced Image and Video Retrieval Techniques (14 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Christopher K. I. Williams
120 papers receiving 43.6k citations
Hit Papers
Peers
Comparison fields: 5 of 231
- Computer Vision and Pattern Recognition 19.5k
- Artificial Intelligence 16.6k
- Control and Systems Engineering 3.8k
- Aerospace Engineering 3.3k
- Computational Theory and Mathematics 3.1k
Countries citing papers authored by Christopher K. I. Williams
This map shows the geographic impact of Christopher K. I. Williams's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christopher K. I. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher K. I. Williams more than expected).
Fields of papers citing papers by Christopher K. I. Williams
This network shows the impact of papers produced by Christopher K. I. Williams. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christopher K. I. Williams. The network helps show where Christopher K. I. Williams may publish in the future.
Co-authorship network of co-authors of Christopher K. I. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher K. I. Williams. A scholar is included among the top collaborators of Christopher K. I. Williams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christopher K. I. Williams. Christopher K. I. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Inverting Supervised Representations with Autoregressive Neural Density Models | 1 |
| 3 | A framework for the quantitative evaluation of disentangled representations | 68 |
| 4 | Visual Boundary Prediction: A Deep Neural Prediction Network and Quality Dissection | 49 |
| 5 | 76 | |
| 6 | Kick-starting GPLVM optimization via a connection to metric MDS | 1 |
| 7 | Multi-task Gaussian Process Learning of Robot Inverse Dynamics | 58 |
| 8 | Advances in Neural Information Processing Systems 20breakdown → | 2243 |
| 9 | Kernel Multi-task Learning using Task-specific Features | 51 |
| 10 | Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)breakdown → | 1115 |
| 11 | Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care | 15 |
| 12 | Using the Equivalent Kernel to Understand Gaussian Process Regression | 18 |
| 13 | Fast Forward Selection to Speed Up Sparse Gaussian Process Regression | 209 |
| 14 | Learning About Multiple Objects in Images: Factorial Learning without Factorial Search | 7 |
| 15 | The Stability of Kernel Principal Components Analysis and its Relation to the Process Eigenspectrum | 18 |
| 16 | The Effect of the Input Density Distribution on Kernel-based Classifiers | 95 |
| 17 | Discovering Hidden Features with Gaussian Processes Regression | 24 |
| 18 | Computing with Infinite Networks | 78 |
| 19 | Directional-Unit Boltzmann Machines | 9 |
| 20 | Adaptive Elastic Models for Hand-Printed Character Recognition | 54 |
About Christopher K. I. Williams
Christopher K. I. Williams is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 123 papers that have together received 45.3k indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (26 papers), Neural Networks and Applications (24 papers) and Advanced Image and Video Retrieval Techniques (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (19.5k citations), Artificial Intelligence (16.6k citations) and Media Technology (2.6k citations). Christopher K. I. Williams has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Carl Edward Rasmussen, Luc Van Gool, Mark Everingham, Andrew Zisserman, John Winn, Edwin V. Bonilla, Kian Ming A. Chai, S. M. Ali Eslami, Matthias Seeger and Michael C. Mozer. Their work appears in journals such as Journal of Clinical Oncology, Journal of the American Statistical Association and Bioinformatics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.