Nasim Rahaman

7 papers and 110 indexed citations i.

Nasim Rahaman is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Epidemiology. According to data from OpenAlex, Nasim Rahaman has authored 7 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Statistical and Nonlinear Physics and 1 paper in Epidemiology. Recurrent topics in Nasim Rahaman’s work include Neural Networks and Applications (2 papers), Model Reduction and Neural Networks (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Nasim Rahaman is often cited by papers focused on Neural Networks and Applications (2 papers), Model Reduction and Neural Networks (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Nasim Rahaman collaborates with scholars based in Germany, Canada and United Kingdom. Nasim Rahaman's co-authors include Fred A. Hamprecht, Yoshua Bengio, Devansh Arpit, Aristide Baratin, Min Lin, Aaron Courville, Felix Draxler, Ullrich Köthe, Constantin Pape and Steffen Wolf and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and arXiv (Cornell University).