Max Welling
About
Max Welling has authored 172 papers that have received a total of 6.7k indexed citations.
This includes 103 papers in Artificial Intelligence, 56 papers in Computer Vision and Pattern Recognition and 24 papers in Signal Processing. The topics of these papers are Bayesian Methods and Mixture Models (29 papers), Gaussian Processes and Bayesian Inference (28 papers) and Neural Networks and Applications (27 papers). Max Welling is often cited by papers focused on Bayesian Methods and Mixture Models (29 papers), Gaussian Processes and Bayesian Inference (28 papers) and Neural Networks and Applications (27 papers) and collaborates with scholars based in The Netherlands, United States and United Kingdom. Max Welling's co-authors include Yee Whye Teh, Bastian Leibe, Nicu Sebe, Diederik P. Kingma and Jǐŕı Matas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Astrophysical Journal.
In The Last Decade
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