Levent Sagun
About
Levent Sagun has authored 16 papers that have received a total of 656 indexed citations.
This includes 11 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Statistical and Nonlinear Physics. The topics of these papers are Stochastic Gradient Optimization Techniques (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Neural Networks and Applications (3 papers). Levent Sagun is often cited by papers focused on Stochastic Gradient Optimization Techniques (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Neural Networks and Applications (3 papers) and collaborates with scholars based in United States, France and Israel. Levent Sagun's co-authors include Giulio Biroli, Stéphane d’Ascoli, Yann LeCun, Stefano Spigler and Mario Geiger and has published in prestigious journals such as Physical Chemistry Chemical Physics, Journal of Physics A Mathematical and Theoretical and Physical review. E
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