1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ME2024★ 1 cited
Cubature-based uncertainty estimation for nonlinear regression models
Martin Bubel, Jochen Schmid, Maximilian Carmesin +3
Calibrating model parameters to measured data by minimizing loss functions is an important step in obtaining realistic predictions from model-based approaches, e.g., for process op…
eess.SY2021
Adaptive Sampling of Dynamic Systems for Generation of Fast and Accurate Surrogate Models
Torben Talis, Joris Weigert, Erik Esche +1
For economic nonlinear model predictive control and dynamic real-time optimization fast and accurate models are necessary. Consequently, the use of dynamic surrogate models to mimi…
eess.SY2021
Semi-supervised Learning for Data-driven Soft-sensing of Biological and Chemical Processes
Erik Esche, Torben Talis, Joris Weigert +4
Continuously operated (bio-)chemical processes increasingly suffer from external disturbances, such as feed fluctuations or changes in market conditions. Product quality often hing…