ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias

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ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias Yupu Lu, Shijie Lin, Guanqi Chen, Jia Pan Proceedings of the 39th International Conference on Machine Learning , PMLR 162:14384-14397, 2022. Abstract Deep learning models are able to approximate one specific dynamical system but struggle at learning generalisable dynamics, where dynamical systems obey the same laws of physics but contain different numbers of elements (e.g., double- and triple-pendulum systems). To relieve this issue, we proposed the Modular Lagrangian Network (ModLaNet), a structural neural n

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