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06/28/2023
Forecasting of the development of a partially-observed dynamical time series with the aid of time-invariance and linearity
A dynamical system produces a dependent multivariate sequence called dyn...
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04/13/2023
Signal identification without signal formulation
When there are signals and noises, physicists try to identify signals by...
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12/31/2019
Interpretable Conservation Law Estimation by Deriving the Symmetries of Dynamics from Trained Deep Neural Networks
As deep neural networks (DNN) have the ability to model the distribution...
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06/12/2019
Semi-flat minima and saddle points by embedding neural networks to overparameterization
We theoretically study the landscape of the training error for neural ne...
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12/11/2018