no code implementations • 18 Mar 2024 • Christian Schlauch, Christian Wirth, Nadja Klein
Previous work has shown that using such informative priors to regularize probabilistic deep learning (DL) models increases their performance and data-efficiency.
no code implementations • 1 Nov 2022 • Christian Schlauch, Nadja Klein, Christian Wirth
We show that our method outperforms both non-informed and informed learning methods, that are often used in the literature.
no code implementations • 25 Mar 2022 • Johannes Pohlodek, Bruno Morabito, Christian Schlauch, Pablo Zometa, Rolf Findeisen
Model-based optimization approaches for monitoring and control, such as model predictive control and optimal state and parameter estimation, have been used for decades in many engineering applications.