RODE-Net: Learning Ordinary Differential Equations with Randomness from Data

3 Jun 2020Junyu LiuZichao LongRanran WangJie SunBin Dong

Random ordinary differential equations (RODEs), i.e. ODEs with random parameters, are often used to model complex dynamics. Most existing methods to identify unknown governing RODEs from observed data often rely on strong prior knowledge... (read more)

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