most citedNeural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structures

34 citations · 34 across the 1 of their papers we have counts for

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cs.LG2022★ 34 cited

Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structures

Zhilu Lai, Wei Liu, Xudong Jian +3

The order/dimension of models derived on the basis of data is commonly restricted by the number of observations, or in the context of monitored systems, sensing nodes. This is part…