Filip Hanzely
About
Filip Hanzely has authored 10 papers that have received a total of 56 indexed citations.
This includes 7 papers in Artificial Intelligence, 5 papers in Computational Mechanics and 2 papers in Computer Vision and Pattern Recognition. The topics of these papers are Stochastic Gradient Optimization Techniques (6 papers), Sparse and Compressive Sensing Techniques (5 papers) and Remote-Sensing Image Classification (2 papers). Filip Hanzely is often cited by papers focused on Stochastic Gradient Optimization Techniques (6 papers), Sparse and Compressive Sensing Techniques (5 papers) and Remote-Sensing Image Classification (2 papers) and collaborates with scholars based in Saudi Arabia, Canada and United Kingdom. Filip Hanzely's co-authors include Peter Richtárik, Konstantin Mishchenko, Lin Xiao, Jingwei Liang and Yurii Nesterov and has published in prestigious journals such as IEEE Transactions on Signal Processing, Physical review. E and Computational Optimization and Applications
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