103 citations · 331 across the 17 of their papers we have counts for
Showing 2023 · physics.comp-phShow all
2 papers · 2 filters
physics.comp-ph2023
Bayesian Reasoning for Physics Informed Neural Networks
Krzysztof M. Graczyk, Kornel Witkowski
We introduce an evidence-driven Bayesian formulation of physics-informed neural networks that enables automatic optimization of loss weights between PDE residuals, boundary conditi…
physics.comp-ph2023
Deep learning for diffusion in porous media
Krzysztof M. Graczyk, Dawid Strzelczyk, Maciej Matyka
We adopt convolutional neural networks (CNN) to predict the basic properties of the porous media. Two different media types are considered: one mimics the sand packings, and the ot…