David Saxton

4 papers and 323 indexed citations i.

David Saxton is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, David Saxton has authored 4 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Control and Systems Engineering and 1 paper in Computational Theory and Mathematics. Recurrent topics in David Saxton’s work include Fault Detection and Control Systems (1 paper), Neural Networks and Applications (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). David Saxton is often cited by papers focused on Fault Detection and Control Systems (1 paper), Neural Networks and Applications (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). David Saxton collaborates with scholars based in United Kingdom, United States and Israel. David Saxton's co-authors include Tom Schaul, Sriram Srinivasan, Marc G. Bellemare, Rémi Munos, Georg Ostrovski, Edward Grefenstette, Pushmeet Kohli, Felix Hill, Yee Whye Teh and Dan Rosenbaum and has published in prestigious journals such as Neural Information Processing Systems, International Conference on Machine Learning and International Conference on Learning Representations.