Bernhard Sch lkopf

4 papers and 173 indexed citations i.

Bernhard Sch lkopf is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Bernhard Sch lkopf has authored 4 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Bernhard Sch lkopf’s work include Machine Learning and Algorithms (2 papers), Bayesian Modeling and Causal Inference (2 papers) and Neural Networks and Applications (2 papers). Bernhard Sch lkopf is often cited by papers focused on Machine Learning and Algorithms (2 papers), Bayesian Modeling and Causal Inference (2 papers) and Neural Networks and Applications (2 papers). Bernhard Sch lkopf collaborates with scholars based in Germany, Finland and Netherlands. Bernhard Sch lkopf's co-authors include Manuel Gomez-Rodriguez, Dominik Janzing, Joris M. Mooij, Eleni Sgouritsa, Kun Zhang, Jonas Peters, Alexander Zien, Vojtěch Franc and Patrik O. Hoyer and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and MPG.PuRe (Max Planck Society).