Nando de Freitas
About
Nando de Freitas has authored 90 papers that have received a total of 11.1k indexed citations.
This includes 68 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 16 papers in Statistics and Probability. The topics of these papers are Gaussian Processes and Bayesian Inference (16 papers), Machine Learning and Algorithms (16 papers) and Markov Chains and Monte Carlo Methods (13 papers). Nando de Freitas is often cited by papers focused on Gaussian Processes and Bayesian Inference (16 papers), Machine Learning and Algorithms (16 papers) and Markov Chains and Monte Carlo Methods (13 papers) and collaborates with scholars based in Canada, United Kingdom and United States. Nando de Freitas's co-authors include Arnaud Doucet, Misha Denil, Ziyu Wang, Firas Hamze and Peter Carbonetto and has published in prestigious journals such as Nature, Proceedings of the IEEE and International Journal of Computer Vision
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