Joshua V. Dillon

9 papers and 299 indexed citations i.

Joshua V. Dillon has authored 9 papers that have received a total of 299 indexed citations. This includes 9 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. The topics of these papers are Anomaly Detection Techniques and Applications (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Adversarial Robustness in Machine Learning (2 papers). Joshua V. Dillon is often cited by papers focused on Anomaly Detection Techniques and Applications (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Adversarial Robustness in Machine Learning (2 papers) and collaborates with scholars based in United States and United Kingdom. Joshua V. Dillon's co-authors include Guy Lebanon, Alexander A. Alemi, Ian Fischer, Kevin Murphy and Rif A. Saurous and has published in prestigious journals such as Journal of Machine Learning Research and IEEE Transactions on Visualization and Computer Graphics.