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09/29/2022
NAG-GS: Semi-Implicit, Accelerated and Robust Stochastic Optimizers
Classical machine learning models such as deep neural networks are usual...
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03/15/2021
Meta-Solver for Neural Ordinary Differential Equations
A conventional approach to train neural ordinary differential equations ...
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02/16/2021
Solution of the Fokker-Planck equation by cross approximation method in the tensor train format
We propose the novel numerical scheme for solution of the multidimension...
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12/14/2020
Robustness Threats of Differential Privacy
Differential privacy is a powerful and gold-standard concept of measurin...
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03/11/2020
Interpolated Adjoint Method for Neural ODEs
In this paper, we propose a method, which allows us to alleviate or comp...
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01/20/2020
