David Barber

70 papers and 2.3k indexed citations i.

David Barber has authored 70 papers that have received a total of 2.3k indexed citations. This includes 56 papers in Artificial Intelligence, 16 papers in Signal Processing and 15 papers in Computer Vision and Pattern Recognition. The topics of these papers are Neural Networks and Applications (18 papers), Gaussian Processes and Bayesian Inference (17 papers) and Blind Source Separation Techniques (10 papers). David Barber is often cited by papers focused on Neural Networks and Applications (18 papers), Gaussian Processes and Bayesian Inference (17 papers) and Blind Source Separation Techniques (10 papers) and collaborates with scholars based in United Kingdom, Switzerland and The Netherlands. David Barber's co-authors include Aleksandar Botev, Peter Sollich, David Saad, Hippolyt Ritter and Harshil Shah and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neural Computation and EPL (Europhysics Letters).