Construct · 1 fields · 1 citations

neural ordinary differential equation: a standalone construct

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Machine learning

a model that defines a hidden state's continuous change with a neural network and computes outputs by running a differential equation solver.

In machine learning, neural ordinary differential equation refers to a model that defines a hidden state's continuous change with a neural network and computes outputs by running a differential equation solver. This meaning comes from Chen (2018) in arXiv.[1]

Unit
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Nearby constructs

continuous change1 fields · 1 citationsanchor · a standalone construct learning6 fields · 14 citationsjingle · one name, six constructs model3 fields · 3 citationsjingle · one word, three constructs

References

Chen, R. T. Q., Rubanova, Y., Bettencourt, J., & Duvenaud, D. (2018). Neural Ordinary Differential Equations. arXiv. https://doi.org/10.48550/arxiv.1806.07366

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