Jacob R. Gardner

19 papers and 543 indexed citations i.

Jacob R. Gardner has authored 19 papers that have received a total of 543 indexed citations. This includes 14 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 4 papers in Computer Vision and Pattern Recognition. The topics of these papers are Gaussian Processes and Bayesian Inference (8 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Neural Networks and Applications (4 papers). Jacob R. Gardner is often cited by papers focused on Gaussian Processes and Bayesian Inference (8 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Neural Networks and Applications (4 papers) and collaborates with scholars based in United States, China and United Kingdom. Jacob R. Gardner's co-authors include Kilian Q. Weinberger, Geoff Pleiss, Andrew Gordon Wilson, Roman Garnett and Matt J. Kusner and has published in prestigious journals such as Nucleic Acids Research, Ear and Hearing and Journal of Vision.