Cédric Archambeau

36 papers and 792 indexed citations i.

Cédric Archambeau has authored 36 papers that have received a total of 792 indexed citations. This includes 32 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 6 papers in Computer Vision and Pattern Recognition. The topics of these papers are Bayesian Methods and Mixture Models (7 papers), Gaussian Processes and Bayesian Inference (7 papers) and Neural Networks and Applications (5 papers). Cédric Archambeau is often cited by papers focused on Bayesian Methods and Mixture Models (7 papers), Gaussian Processes and Bayesian Inference (7 papers) and Neural Networks and Applications (5 papers) and collaborates with scholars based in United Kingdom, Germany and United States. Cédric Archambeau's co-authors include Michel Verleysen, Manfred Opper, Matthias Seeger, David Barber and Valerio Perrone and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Communications of the ACM.