Zachary Nado

3 papers and 104 indexed citations i.

Zachary Nado is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Zachary Nado has authored 3 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Zachary Nado’s work include Advanced Neural Network Applications (1 paper), Neural Networks and Applications (1 paper) and Adversarial Robustness in Machine Learning (1 paper). Zachary Nado is often cited by papers focused on Advanced Neural Network Applications (1 paper), Neural Networks and Applications (1 paper) and Adversarial Robustness in Machine Learning (1 paper). Zachary Nado collaborates with scholars based in United States and Canada. Zachary Nado's co-authors include Emily Fertig, Jie Ren, Balaji Lakshminarayanan, Jasper Snoek, Joshua V. Dillon, Yaniv Ovadia, Sebastian Nowozin, D. Sculley, Lala Li and George E. Dahl and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and International Conference on Learning Representations.