Gavin Taylor

18 papers and 508 indexed citations i.

Gavin Taylor has authored 18 papers that have received a total of 508 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), Stochastic Gradient Optimization Techniques (3 papers) and Advanced Neural Network Applications (3 papers). Gavin Taylor is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Stochastic Gradient Optimization Techniques (3 papers) and Advanced Neural Network Applications (3 papers) and collaborates with scholars based in United States, Norway and Germany. Gavin Taylor's co-authors include Tom Goldstein, Christoph Studer, John P. Dickerson, Chen Zhu and Thomas Goldstein and has published in prestigious journals such as Sensors and Systems Engineering