Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires
- A Bayesian physics-informed neural network that offers the capability for data assimulation while also providing uncertainty quantification. The method uses Bayes-by-backprop to provide quantitive epistemic uncertainty in predictions via the posterior distribution.