Gavin Taylor

19 papers and 518 indexed citations i.

Gavin Taylor has authored 19 papers that have received a total of 518 indexed citations. This includes 14 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 3 papers in Computer Vision and Pattern Recognition. The topics of these papers are Adversarial Robustness in Machine Learning (6 papers), Reinforcement Learning in Robotics (3 papers) and Stochastic Gradient Optimization Techniques (3 papers). Gavin Taylor is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Reinforcement Learning in Robotics (3 papers) and Stochastic Gradient Optimization Techniques (3 papers) and collaborates with scholars based in United States, Norway and Saudi Arabia. Gavin Taylor's co-authors include Tom Goldstein, Christoph Studer, Chen Zhu, Thomas Goldstein and Liam Fowl and has published in prestigious journals such as Sensors, Future Generation Computer Systems and Systems Engineering.