Global optimization of multiphase flow networks using spline surrogate models. - Bjarne A. Grimstad; Bjarne A. Foss; Richard Heddle; Malcolm Woodman (Comput. Chem. Eng., 2016)

Towards an objective feasibility pump for convex MINLPs. - Shaurya Sharma; Brage Rugstad Knudsen; Bjarne A. Grimstad (Comput. Optim. Appl., 2016)

Global optimization with spline constraints: a new branch-and-bound method based on B-splines. - Bjarne A. Grimstad; Anders T. Sandnes (J. Glob. Optim., 2016)

Petroleum production optimization - A static or dynamic problem? - Bjarne A. Foss; Brage Rugstad Knudsen; Bjarne A. Grimstad (Comput. Chem. Eng., 2018)

A MIQCP formulation for B-spline constraints. - Bjarne A. Grimstad (Optim. Lett., 2018)

ReLU networks as surrogate models in mixed-integer linear programs. - Bjarne A. Grimstad; Henrik Andersson (Comput. Chem. Eng., 2019)

Developing a Hybrid Data-Driven, Mechanistic Virtual Flow Meter - a Case Study. - Mathilde Hotvedt; Bjarne A. Grimstad; Lars Imsland (CoRR, 2020)

Identifiability and interpretability of hybrid, gray-box models. - Mathilde Hotvedt; Bjarne A. Grimstad; Lars Imsland (CoRR, 2020)

Mathematical programming formulations for piecewise polynomial functions. - Bjarne A. Grimstad; Brage Rugstad Knudsen (J. Glob. Optim., 2020)

Bayesian neural networks for virtual flow metering: An empirical study. - Bjarne A. Grimstad; Mathilde Hotvedt; Anders T. Sandnes; Odd Kolbjørnsen; Lars Struen Imsland (Appl. Soft Comput., 2021)

On gray-box modeling for virtual flow metering. - Mathilde Hotvedt; Bjarne A. Grimstad; Dag Ljungquist; Lars Imsland (CoRR, 2021)

When is gray-box modeling advantageous for virtual flow metering? - Mathilde Hotvedt; Bjarne A. Grimstad; Dag Ljungquist; Lars Imsland (CoRR, 2021)

Multi-task learning for virtual flow metering. - Anders T. Sandnes; Bjarne A. Grimstad; Odd Kolbjørnsen (Knowl. Based Syst., 2021)

Adjustment formulas for learning causal steady-state models from closed-loop operational data. - Kristian Løvland; Bjarne A. Grimstad; Lars Struen Imsland (CoRR, 2022)

Passive learning to address nonstationarity in virtual flow metering applications. - Mathilde Hotvedt; Bjarne A. Grimstad; Lars Struen Imsland (Expert Syst. Appl., 2022)

Sequential Monte Carlo applied to virtual flow meter calibration. - Anders T. Sandnes; Bjarne A. Grimstad; Odd Kolbjørnsen (CoRR, 2023)

Multi-unit soft sensing permits few-shot learning. - Bjarne A. Grimstad; Kristian Løvland; Lars Struen Imsland (CoRR, 2023)

An updated look on the convergence and consistency of data-driven dynamical models. - Kristian Løvland; Bjarne A. Grimstad; Lars Struen Imsland (CDC, 2024)

A deep latent variable model for semi-supervised multi-unit soft sensing in industrial processes. - Bjarne A. Grimstad; Kristian Løvland; Lars Struen Imsland; Vidar Gunnerud (CoRR, 2024)

Multi-task neural networks by learned contextual inputs. - Anders T. Sandnes; Bjarne A. Grimstad; Odd Kolbjørnsen (Neural Networks, 2024)