Charles Blundell
About
Charles Blundell has authored 32 papers that have received a total of 3.5k indexed citations.
This includes 25 papers in Artificial Intelligence, 6 papers in Cognitive Neuroscience and 5 papers in Computer Vision and Pattern Recognition. The topics of these papers are Reinforcement Learning in Robotics (11 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Bayesian Methods and Mixture Models (5 papers). Charles Blundell is often cited by papers focused on Reinforcement Learning in Robotics (11 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Bayesian Methods and Mixture Models (5 papers) and collaborates with scholars based in United Kingdom, United States and Australia. Charles Blundell's co-authors include Demis Hassabis, Alexander Pritzel, Adrià Puigdomènech Badia, Pablo Sprechmann and Daan Wierstra and has published in prestigious journals such as Nature, The Journal of Chemical Physics and Neuron
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