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math.OC2022★ 1 cited
NAG-GS: Semi-Implicit, Accelerated and Robust Stochastic Optimizer
Valentin Leplat, Daniil Merkulov, Aleksandr Katrutsa +3
Classical machine learning models such as deep neural networks are usually trained by using Stochastic Gradient Descent-based (SGD) algorithms. The classical SGD can be interpreted…
math.NA2022★ 4 cited
Extension of Dynamic Mode Decomposition for dynamic systems with incomplete information based on t-model of optimal prediction
Aleksandr Katrutsa, Sergey Utyuzhnikov, Ivan Oseledets
The Dynamic Mode Decomposition has proved to be a very efficient technique to study dynamic data. This is entirely a data-driven approach that extracts all necessary information fr…