Jeremy Nixon

4 papers and 22 indexed citations i.

Jeremy Nixon has authored 4 papers that have received a total of 22 indexed citations. This includes 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Accounting. The topics of these papers are Stochastic Gradient Optimization Techniques (2 papers), Advanced Neural Network Applications (2 papers) and Machine Learning and Algorithms (1 paper). Jeremy Nixon is often cited by papers focused on Stochastic Gradient Optimization Techniques (2 papers), Advanced Neural Network Applications (2 papers) and Machine Learning and Algorithms (1 paper) and collaborates with scholars based in United States. Jeremy Nixon's co-authors include Jascha Sohl‐Dickstein, Luke Metz, C. Daniel Freeman, Niru Maheswaranathan and Linchuan Zhang and has published in prestigious journals such as and