Youssef Mroueh
About
Youssef Mroueh has authored 25 papers that have received a total of 1.4k indexed citations.
This includes 14 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Mechanics. The topics of these papers are Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (5 papers) and Sparse and Compressive Sensing Techniques (4 papers). Youssef Mroueh is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (5 papers) and Sparse and Compressive Sensing Techniques (4 papers) and collaborates with scholars based in United States and Italy. Youssef Mroueh's co-authors include Igor Melnyk, Jerret Ross, Tom Sercu, Inkit Padhi and Payel Das and has published in prestigious journals such as Physical Review X, Journal of Artificial Intelligence Research and npj Computational Materials
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