Mark van der Wilk

19 papers and 405 indexed citations i.

Mark van der Wilk has authored 19 papers that have received a total of 405 indexed citations. This includes 17 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 5 papers in Control and Systems Engineering. The topics of these papers are Gaussian Processes and Bayesian Inference (11 papers), Machine Learning and Data Classification (7 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Mark van der Wilk is often cited by papers focused on Gaussian Processes and Bayesian Inference (11 papers), Machine Learning and Data Classification (7 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers) and collaborates with scholars based in United Kingdom, Germany and United States. Mark van der Wilk's co-authors include Carl Edward Rasmussen, James Hensman, Yarin Gal, Matthias Bauer and Alex Kendall and has published in prestigious journals such as Biotechnology and Bioengineering, Journal of Machine Learning Research and Computers & Chemical Engineering.