Bjarne A. Grimstad

29 papers Journal 27Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A deep latent variable model for semi-supervised multi-unit soft sensing in industrial processes.
Appl. Soft Comput.
Bjarne A. Grimstad, Kristian Løvland, Lars Struen Imsland, Vidar Gunnerud
2025 — conf
On a Closed-Loop Identification Challenge in Feedback Optimization.
CCTA
Kristian Løvland, Lars Struen Imsland, Bjarne A. Grimstad
2025 J jnl
On a closed-loop identification challenge in feedback optimization.
CoRR
Kristian Løvland, Lars Struen Imsland, Bjarne A. Grimstad
2024 J jnl
A deep latent variable model for semi-supervised multi-unit soft sensing in industrial processes.
CoRR
Bjarne A. Grimstad, Kristian Løvland, Lars Struen Imsland, Vidar Gunnerud
2024 — conf
An updated look on the convergence and consistency of data-driven dynamical models.
CDC
Kristian Løvland, Bjarne A. Grimstad, Lars Struen Imsland
2024 J jnl
An updated look on the convergence and consistency of data-driven dynamical models.
CoRR
Kristian Løvland, Bjarne A. Grimstad, Lars Struen Imsland
2024 J jnl
Multi-task neural networks by learned contextual inputs.
Neural Networks
Anders T. Sandnes, Bjarne A. Grimstad, Odd Kolbjørnsen
2023 J jnl
Multi-task neural networks by learned contextual inputs.
CoRR
Anders T. Sandnes, Bjarne A. Grimstad, Odd Kolbjørnsen
2023 J jnl
Multi-unit soft sensing permits few-shot learning.
CoRR
Bjarne A. Grimstad, Kristian Løvland, Lars Struen Imsland
2023 J jnl
Sequential Monte Carlo applied to virtual flow meter calibration.
CoRR
Anders T. Sandnes, Bjarne A. Grimstad, Odd Kolbjørnsen
2022 J jnl
Adjustment formulas for learning causal steady-state models from closed-loop operational data.
CoRR
Kristian Løvland, Bjarne A. Grimstad, Lars Struen Imsland
2022 J jnl
Passive learning to address nonstationarity in virtual flow metering applications.
CoRR
Mathilde Hotvedt, Bjarne A. Grimstad, Lars Imsland
2022 J jnl
Passive learning to address nonstationarity in virtual flow metering applications.
Expert Syst. Appl.
Mathilde Hotvedt, Bjarne A. Grimstad, Lars Struen Imsland
2021 J jnl
Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study.
CoRR
Bjarne A. Grimstad, Mathilde Hotvedt, Anders T. Sandnes, Odd Kolbjørnsen, Lars Struen Imsland
2021 J jnl
Bayesian neural networks for virtual flow metering: An empirical study.
Appl. Soft Comput.
Bjarne A. Grimstad, Mathilde Hotvedt, Anders T. Sandnes, Odd Kolbjørnsen, Lars Struen Imsland
2021 J jnl
Multi-task learning for virtual flow metering.
CoRR
Anders T. Sandnes, Bjarne A. Grimstad, Odd Kolbjørnsen
2021 J jnl
Multi-task learning for virtual flow metering.
Knowl. Based Syst.
Anders T. Sandnes, Bjarne A. Grimstad, Odd Kolbjørnsen
2021 J jnl
On gray-box modeling for virtual flow metering.
CoRR
Mathilde Hotvedt, Bjarne A. Grimstad, Dag Ljungquist, Lars Imsland
2021 J jnl
When is gray-box modeling advantageous for virtual flow metering?
CoRR
Mathilde Hotvedt, Bjarne A. Grimstad, Dag Ljungquist, Lars Imsland
2020 J jnl
Developing a Hybrid Data-Driven, Mechanistic Virtual Flow Meter - a Case Study.
CoRR
Mathilde Hotvedt, Bjarne A. Grimstad, Lars Imsland
2020 J jnl
Identifiability and interpretability of hybrid, gray-box models.
CoRR
Mathilde Hotvedt, Bjarne A. Grimstad, Lars Imsland
2020 J jnl
Mathematical programming formulations for piecewise polynomial functions.
J. Glob. Optim.
Bjarne A. Grimstad, Brage Rugstad Knudsen
2019 J jnl
ReLU Networks as Surrogate Models in Mixed-Integer Linear Programs.
CoRR
Bjarne A. Grimstad, Henrik Andersson
2019 J jnl
ReLU networks as surrogate models in mixed-integer linear programs.
Comput. Chem. Eng.
Bjarne A. Grimstad, Henrik Andersson
2018 J jnl
A MIQCP formulation for B-spline constraints.
Optim. Lett.
Bjarne A. Grimstad
2018 J jnl
Petroleum production optimization - A static or dynamic problem?
Comput. Chem. Eng.
Bjarne A. Foss, Brage Rugstad Knudsen, Bjarne A. Grimstad
2016 J jnl
Global optimization of multiphase flow networks using spline surrogate models.
Comput. Chem. Eng.
Bjarne A. Grimstad, Bjarne A. Foss, Richard Heddle, Malcolm Woodman
2016 J jnl
Global optimization with spline constraints: a new branch-and-bound method based on B-splines.
J. Glob. Optim.
Bjarne A. Grimstad, Anders T. Sandnes
2016 J jnl
Towards an objective feasibility pump for convex MINLPs.
Comput. Optim. Appl.
Shaurya Sharma, Brage Rugstad Knudsen, Bjarne A. Grimstad