Mini-batch optimization enables training of ODE models on large-scale datasets
Ordinary differential equation (ODE) models are widely used to understand multiple processes. Here the authors show how the concept of mini-batch optimization can be transferred from the field of Deep Learning to ODE modelling.
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-01-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-27374-6 |