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Bjarne A. Grimstad
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2020 – today
- 2024
- [j11]Anders T. Sandnes
, Bjarne A. Grimstad
Multi-task neural networks by learned contextual inputs. Neural Networks 179: 106528 (2024) - [i14]Bjarne A. Grimstad, Kristian Løvland, Lars Struen Imsland, Vidar Gunnerud:
A deep latent variable model for semi-supervised multi-unit soft sensing in industrial processes. CoRR abs/2407.13310 (2024) - [i13]Kristian Løvland, Bjarne A. Grimstad, Lars Struen Imsland:
An updated look on the convergence and consistency of data-driven dynamical models. CoRR abs/2409.04120 (2024) - 2023
- [i12]Anders T. Sandnes, Bjarne A. Grimstad, Odd Kolbjørnsen:
Multi-task neural networks by learned contextual inputs. CoRR abs/2303.00788 (2023) - [i11]Anders T. Sandnes, Bjarne A. Grimstad, Odd Kolbjørnsen:
Sequential Monte Carlo applied to virtual flow meter calibration. CoRR abs/2304.06310 (2023) - [i10]Bjarne A. Grimstad, Kristian Løvland, Lars Struen Imsland:
Multi-unit soft sensing permits few-shot learning. CoRR abs/2309.15828 (2023) - 2022
- [j10]Mathilde Hotvedt
Passive learning to address nonstationarity in virtual flow metering applications. Expert Syst. Appl. 210: 118382 (2022) - [i9]Mathilde Hotvedt, Bjarne A. Grimstad, Lars Imsland:
Passive learning to address nonstationarity in virtual flow metering applications. CoRR abs/2202.03236 (2022) - [i8]Kristian Løvland, Bjarne A. Grimstad, Lars Struen Imsland:
Adjustment formulas for learning causal steady-state models from closed-loop operational data. CoRR abs/2211.05613 (2022) - 2021
- [j9]Bjarne A. Grimstad
Bayesian neural networks for virtual flow metering: An empirical study. Appl. Soft Comput. 112: 107776 (2021) - [j8]Anders T. Sandnes
Multi-task learning for virtual flow metering. Knowl. Based Syst. 232: 107458 (2021) - [i7]Bjarne A. Grimstad, Mathilde Hotvedt, Anders T. Sandnes, Odd Kolbjørnsen, Lars Struen Imsland:
Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study. CoRR abs/2102.01391 (2021) - [i6]Anders T. Sandnes, Bjarne A. Grimstad, Odd Kolbjørnsen:
Multi-task learning for virtual flow metering. CoRR abs/2103.08713 (2021) - [i5]Mathilde Hotvedt, Bjarne A. Grimstad, Dag Ljungquist, Lars Imsland:
On gray-box modeling for virtual flow metering. CoRR abs/2103.12513 (2021) - [i4]Mathilde Hotvedt, Bjarne A. Grimstad, Dag Ljungquist, Lars Imsland:
When is gray-box modeling advantageous for virtual flow metering? CoRR abs/2110.05034 (2021) - 2020
- [j7]Bjarne A. Grimstad
Mathematical programming formulations for piecewise polynomial functions. J. Glob. Optim. 77(3): 455-486 (2020) - [i3]Mathilde Hotvedt, Bjarne A. Grimstad, Lars Imsland:
Developing a Hybrid Data-Driven, Mechanistic Virtual Flow Meter - a Case Study. CoRR abs/2002.02737 (2020) - [i2]Mathilde Hotvedt, Bjarne A. Grimstad, Lars Imsland:
Identifiability and interpretability of hybrid, gray-box models. CoRR abs/2010.13416 (2020)
2010 – 2019
- 2019
- [j6]Bjarne A. Grimstad
ReLU networks as surrogate models in mixed-integer linear programs. Comput. Chem. Eng. 131 (2019) - [i1]Bjarne A. Grimstad, Henrik Andersson:
ReLU Networks as Surrogate Models in Mixed-Integer Linear Programs. CoRR abs/1907.03140 (2019) - 2018
- [j5]Bjarne A. Foss, Brage Rugstad Knudsen, Bjarne A. Grimstad
Petroleum production optimization - A static or dynamic problem? Comput. Chem. Eng. 114: 245-253 (2018) - [j4]Bjarne A. Grimstad
A MIQCP formulation for B-spline constraints. Optim. Lett. 12(4): 713-725 (2018) - 2016
- [j3]Bjarne A. Grimstad
Global optimization of multiphase flow networks using spline surrogate models. Comput. Chem. Eng. 84: 237-254 (2016) - [j2]Shaurya Sharma, Brage Rugstad Knudsen, Bjarne A. Grimstad
Towards an objective feasibility pump for convex MINLPs. Comput. Optim. Appl. 63(3): 737-753 (2016) - [j1]Bjarne A. Grimstad
Global optimization with spline constraints: a new branch-and-bound method based on B-splines. J. Glob. Optim. 65(3): 401-439 (2016)
Coauthor Index
aka: Lars Struen Imsland
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