Abstract: Neural ordinary differential equation (ODE) can be approximated by nonlinear mappings by using continuous-times ODEs such that a family of models is formed. Due to their desirable properties ...
Abstract: Since the last decade, deep neural networks have shown remarkable capability in learning representations. The recently proposed neural ordinary differential equations (NODEs) can be viewed ...
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A team of scientists from the Department of Physics at King’s College London has discovered a set of mathematical equations that makes it possible to build a clock from any sequence of random events, ...
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You can use these live scripts as demonstrations in lectures, class activities, or interactive assignments outside class. The first two scripts consider first order ODEs. In these scripts, students ...
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