Jake Grigsby

2 papers and 208 indexed citations i.

Jake Grigsby has authored 2 papers that have received a total of 208 indexed citations. This includes 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Signal Processing. The topics of these papers are Domain Adaptation and Few-Shot Learning (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Adversarial Robustness in Machine Learning (1 paper). Jake Grigsby is often cited by papers focused on Domain Adaptation and Few-Shot Learning (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Adversarial Robustness in Machine Learning (1 paper) and collaborates with scholars based in United States. Jake Grigsby's co-authors include Yanjun Qi, Di Jin, Jin Yong Yoo and L. P. Alonzi and has published in prestigious journals such as Physical review. D