Matthias Seeger

44 papers and 4.2k indexed citations i.

Matthias Seeger has authored 44 papers that have received a total of 4.2k indexed citations. This includes 37 papers in Artificial Intelligence, 12 papers in Computational Theory and Mathematics and 8 papers in Management Science and Operations Research. The topics of these papers are Gaussian Processes and Bayesian Inference (29 papers), Advanced Multi-Objective Optimization Algorithms (12 papers) and Machine Learning and Algorithms (10 papers). Matthias Seeger is often cited by papers focused on Gaussian Processes and Bayesian Inference (29 papers), Advanced Multi-Objective Optimization Algorithms (12 papers) and Machine Learning and Algorithms (10 papers) and collaborates with scholars based in Germany, United States and Switzerland. Matthias Seeger's co-authors include Sham M. Kakade, Hannes Nickisch, Cédric Archambeau, Duy Nguyen-Tuong and Jan Peters and has published in prestigious journals such as IEEE Transactions on Information Theory, Magnetic Resonance in Medicine and IEEE Signal Processing Magazine.