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Hybrid models composing mechanistic ODE-based dynamics with flexible and expressive neural network components have grown rapidly in popularity, especially in scientific domains where such ODE-based modeling offers important interpretability and valid
Externí odkaz:
http://arxiv.org/abs/2402.17233
