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cs.LG2022★ 1 cited
On the balance between the training time and interpretability of neural ODE for time series modelling
Yakov Golovanev, Alexander Hvatov
Most machine learning methods are used as a black box for modelling. We may try to extract some knowledge from physics-based training methods, such as neural ODE (ordinary differen…
math.NA2022★ 7 cited
Automated differential equation solver based on the parametric approximation optimization
Alexander Hvatov, Tatiana Tikhonova
The numerical methods for differential equation solution allow obtaining a discrete field that converges towards the solution if the method is applied to the correct problem. Never…