Edward Meeds
About
Edward Meeds has authored 9 papers that have received a total of 152 indexed citations.
This includes 7 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. The topics of these papers are Gaussian Processes and Bayesian Inference (5 papers), Adversarial Robustness in Machine Learning (2 papers) and Privacy-Preserving Technologies in Data (1 paper). Edward Meeds is often cited by papers focused on Gaussian Processes and Bayesian Inference (5 papers), Adversarial Robustness in Machine Learning (2 papers) and Privacy-Preserving Technologies in Data (1 paper) and collaborates with scholars based in The Netherlands, United States and United Kingdom. Edward Meeds's co-authors include Max Welling, Sebastian Nowozin, José Miguel Hernández-Lobato, Richard E. Turner and Alexander L. Gaunt and has published in prestigious journals such as BMC Biology and PeerJ Computer Science
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