Christopher K. I. Williams
About
Christopher K. I. Williams has authored 94 papers that have received a total of 35.2k indexed citations.
This includes 56 papers in Artificial Intelligence, 37 papers in Computer Vision and Pattern Recognition and 11 papers in Signal Processing. The topics of these papers are Gaussian Processes and Bayesian Inference (20 papers), Neural Networks and Applications (16 papers) and Generative Adversarial Networks and Image Synthesis (10 papers). Christopher K. I. Williams is often cited by papers focused on Gaussian Processes and Bayesian Inference (20 papers), Neural Networks and Applications (16 papers) and Generative Adversarial Networks and Image Synthesis (10 papers) and collaborates with scholars based in United Kingdom, United States and Canada. Christopher K. I. Williams's co-authors include Geoffrey E. Hinton, Markus Svensén, Edwin V. Bonilla, Chris Bishop and S. M. Ali Eslami and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence
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