3 papers
stat.ML2025
Multi-task and few-shot learning in virtual flow metering
Kristian Løvland, Bjarne Grimstad, Lars S. Imsland
Recent literature has explored various ways to improve soft sensors by utilizing learning algorithms with transferability. A performance gain is generally attained when knowledge i…
math.OC2025
On a closed-loop identification challenge in feedback optimization
Kristian Lindbäck Løvland, Lars Struen Imsland, Bjarne Grimstad
Feedback optimization has emerged as an effective strategy for steady-state optimization of dynamical systems. By exploiting models of the steady-state input-output sensitivity, me…
cs.LG2025
Multi-task neural networks by learned contextual inputs
Anders T. Sandnes, Bjarne Grimstad, Odd Kolbjørnsen
This paper explores learned-context neural networks. It is a multi-task learning architecture based on a fully shared neural network and an augmented input vector containing traina…