MSc project: Bayesian Physics-Informed Neural Networks

23.08.2024, Diplomarbeiten, Bachelor- und Masterarbeiten

The goal of this project is to combine physics-informed neural networks (PINNs) with Bayesian deep learning (BDL) to develop a novel neural network that is both informed about the underlying data and is capable of uncertainty estimation.

See here for a full description of the project: https://sirop.org/app/59b6a7e5-d960-46bf-8275-4834e2ed5046?_k=xKDClJ35Aej5DVfl

Kontakt: fedor.sergeev@inf.ethz.ch

More Information

https://sirop.org/app/59b6a7e5-d960-46bf-8275-4834e2ed5046?_k=xKDClJ35Aej5DVfl