Neural ordinary differential equations - NODEs (DS4DS 4.07)

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Supported by the ‘digi-Fellows’ program granted by Paderborn University:
  1. Data Science for Dynamical Systems (DS4DS)
  2. machine learning
  3. data science
  4. control engineering
  5. dynamical systems
  6. systemtheory
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Комментарии
Автор

Hi, this is callled physics informed NN?

fabymike
Автор

It is excellent to see these things being shown in Julia! Most of these tutorials are still heavily relying on Python, so this is great! You might have mentioned it somewhere else, but is there any preference for Lux over Flux? Thanks for the free content.
Gabriel

gabrielnicolosi
Автор

10:15 unstable identification -> potential fix, limit rhs output eg via tanh, but also limits the dynamical behaviour; another approach -> standardize data

looper
Автор

Hi Do you have any reference for Neural ODE being an ANN + ODE? If I remember correctly the original neural ODE paper from NeurIPS 2018 defined NODE as the continuous limit of a residual neural net?

nabin