Arno Strouwen
Research Scientist at JuliaHub.
Interested in optimal data gathering strategies for SciML applications.
Sessions
MixedModelsSmallSample.jl makes small sample adjustments to the hypothesis tests and confidence intervals of mixed effect regression models estimated by restricted maximum likelihood using MixedModels.jl.
Knowledge of the physical laws acting on a system is often incomplete. These gaps in our knowledge are referred to as missing physics. Neural network based techniques, post-processed with interpretable machine learning techniques such as symbolic regression, are one way to learn this missing physics. We propose an efficient data gathering technique which aims to make both the fitting and post-processing of the neural network as precise as possible, showcased through a bioreactor case study.