Levent Sagun

60 total papers · 2.8k total citations
14 papers, 742 citations indexed

Levent Sagun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Levent Sagun has authored 14 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Levent Sagun’s work include Stochastic Gradient Optimization Techniques (5 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). Levent Sagun is often cited by papers focused on Stochastic Gradient Optimization Techniques (5 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). Levent Sagun collaborates with scholars based in United States, France and Switzerland. Levent Sagun's co-authors include Giulio Biroli, Stéphane d’Ascoli, Hugo Touvron, Ari S. Morcos, Matthew L. Leavitt, Yann LeCun, Matthieu Wyart, Stefano Spigler, Mario Geiger and Carlo Baldassi and has published in prestigious journals such as Physical Chemistry Chemical Physics, Physical review. E and Quarterly of Applied Mathematics.