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2020 – today
- 2023
[j5]Michail Spitieris, Ingelin Steinsland:
Bayesian Calibration of Imperfect Computer Models using Physics-Informed Priors. J. Mach. Learn. Res. 24: 108:1-108:39 (2023)- 2022
- [j4]Haakon E. Nustad
, Ingelin Steinsland, Miina Ollikainen, Emma Cazaly, Jaakko Kaprio, Yuval Benjamini, Kristina Gervin, Robert Lyle:
Modeling dependency structures in 450k DNA methylation data. Bioinform. 38(4): 885-891 (2022) - [i2]Michail Spitieris, Ingelin Steinsland:
Bayesian Calibration of imperfect computer models using Physics-informed priors. CoRR abs/2201.06463 (2022) - [i1]Michail Spitieris, Ingelin Steinsland:
Learning Physics between Digital Twins with Low-Fidelity Models and Physics-Informed Gaussian Processes. CoRR abs/2206.08201 (2022) - 2020
- [j3]Andreas Strand, Ivar Eskerud Smith, Tor Erling Unander, Ingelin Steinsland, Leif Rune Hellevik:
Uncertainty Propagation through a Point Model for Steady-State Two-Phase Pipe Flow. Algorithms 13(3): 53 (2020)
2000 – 2009
- 2007
- [j2]Ingelin Steinsland:
Parallel exact sampling and evaluation of Gaussian Markov random fields. Comput. Stat. Data Anal. 51(6): 2969-2981 (2007) - 2001
- [j1]Merrilee Hurn, Ingelin Steinsland, Håvard Rue:
Parameter estimation for a deformable template model. Stat. Comput. 11(4): 337-346 (2001)
Coauthor Index
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