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)

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

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

Sampling-Free Bayesian Inference for Local Refinement in Linear Inversion Problems With a Latent Target Property. - Charlotte Semin-Sanchis; Odd Kolbjørnsen (IEEE Trans. Geosci. Remote. Sens., 2023)

A Spitting Image: Modular Superpixel Tokenization in Vision Transformers. - Marius Aasan; Odd Kolbjørnsen; Anne H. Schistad Solberg; Adín Ramírez Rivera (ECCV Workshops (19), 2024)

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