Jonathan Uesato

43 total papers · 4.1k total citations
5 papers, 67 citations indexed

Jonathan Uesato is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Jonathan Uesato has authored 5 papers receiving a total of 67 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Jonathan Uesato’s work include Adversarial Robustness in Machine Learning (4 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Jonathan Uesato is often cited by papers focused on Adversarial Robustness in Machine Learning (4 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Jonathan Uesato collaborates with scholars based in United States and United Kingdom. Jonathan Uesato's co-authors include Pushmeet Kohli, Brendan O’Donoghue, Aäron van den Oord, Robert Stanforth, Jean-Baptiste Alayrac, Rishabh Singh, Alhussein Fawzi, Surya Bhupatiraju, Abdelrahman Mohamed and Jacob Devlin and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and International Conference on Learning Representations.