Mahmoud Assran

7 papers and 141 indexed citations i.

Mahmoud Assran has authored 7 papers that have received a total of 141 indexed citations. This includes 7 papers in Artificial Intelligence, 2 papers in Electrical and Electronic Engineering and 2 papers in Computer Vision and Pattern Recognition. The topics of these papers are Stochastic Gradient Optimization Techniques (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Memory and Neural Computing (2 papers). Mahmoud Assran is often cited by papers focused on Stochastic Gradient Optimization Techniques (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Memory and Neural Computing (2 papers) and collaborates with scholars based in Canada, Israel and Sweden. Mahmoud Assran's co-authors include Michael Rabbat, Nicolas Ballas, Piotr Bojanowski, Ishan Misra and Yann LeCun and has published in prestigious journals such as IEEE Transactions on Automatic Control and Proceedings of the IEEE