150 citations · 242 across the 15 of their papers we have counts for
3 papers · 1 filter
An updated look on the convergence and consistency of data-driven dynamical models
Kristian Løvland, Bjarne Grimstad, Lars Struen Imsland
Deep sequence models are receiving significant interest in current machine learning research. By representing probability distributions that are fit to data using maximum likelihoo…
A deep latent variable model for semi-supervised multi-unit soft sensing in industrial processes
Bjarne Grimstad, Kristian Løvland, Lars S. Imsland +1
In many industrial processes, an apparent lack of data limits the development of data-driven soft sensors. There are, however, often opportunities to learn stronger models by being…
Flow Fusion, Exploiting Measurement Redundancy for Smarter Allocation
Christine Foss Sjulstad, Danielle Monteiro, Bjarne Grimstad
In petroleum production systems, continuous multiphase flow rates are essential for efficient operation. They provide situational awareness, enable production optimization, improve…