Gavin Taylor

14 papers and 349 indexed citations .

Gavin Taylor is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, Gavin Taylor has authored 14 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Gavin Taylor’s work include Adversarial Robustness in Machine Learning (4 papers), Stochastic Gradient Optimization Techniques (2 papers) and Neural Networks and Applications (2 papers). Gavin Taylor is often cited by papers focused on Adversarial Robustness in Machine Learning (4 papers), Stochastic Gradient Optimization Techniques (2 papers) and Neural Networks and Applications (2 papers). Gavin Taylor collaborates with scholars based in United States, Norway and United Kingdom. Gavin Taylor's co-authors include Tom Goldstein, Zheng Xu, Christoph Studer, Hao Li, Bharat Singh, Ankit Patel, Shlomo Zilberstein, Marek Petrik, Ronald Parr and Chen Zhu and has published in prestigious journals such as Sensors, Future Generation Computer Systems and Systems Engineering.