Mike Innes

3 papers and 191 indexed citations i.

Mike Innes is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, Mike Innes has authored 3 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Computational Theory and Mathematics and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Mike Innes’s work include Numerical Methods and Algorithms (1 paper), Neural Networks and Applications (1 paper) and Model Reduction and Neural Networks (1 paper). Mike Innes is often cited by papers focused on Numerical Methods and Algorithms (1 paper), Neural Networks and Applications (1 paper) and Model Reduction and Neural Networks (1 paper). Mike Innes collaborates with scholars based in India, United States and Australia. Mike Innes's co-authors include Viral B. Shah, Christopher Rackauckas, Keno Fischer, Elliot Saba and Alan Edelman and has published in prestigious journals such as National Conference on Artificial Intelligence and The Journal of Open Source Software.