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Extenting variation inference to hybrid, i.e process and machine learning, models

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EarthyScience/HybridVariationalInference.jl

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HybridVariationalInference

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Extending Variational Inference (VI), an approximate bayesian inversion method, to hybrid models, i.e. models that combine mechanistic and machine-learning parts.

The model inversion, infers parametric approximations of posterior density of model parameters, by comparing model outputs to uncertain observations. At the same time, a machine learning model is fit that predicts parameters of these approximations by covariates.

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Extenting variation inference to hybrid, i.e process and machine learning, models

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