• Opplevd smittepress av lakselus for laksesmolt og sjøaure 

  Aldrin, Magne Tommy; Huseby, Ragnar Bang; Jansen, Peder A (NR-notat;, Research report, 2025)

  Arbeidet som beskrives her er utført av Norsk Regnesentral, i samarbeid med Aqualife R&D, og er en del av er del av prosjektet “Opplevd smittepress for lakse smolt og sjøaure i Nordfjord, Sogn, Bjørnafjorden og Hardanger ...

• Widespread Risk of Extreme Precipitation and Flooding 

  Nordtorp, Henrik; Roksvåg, Thea Julie Thømt; Thorarinsdottir, Thordis Linda (NR-notat;, Research report, 2024)

  Developing a thorough understanding of the prevalence of natural disasters such as floods and extreme precipitation events is of high importance for the society. In this report, it is attempted to investigate and quantify ...

• Bærekraftig og inkluderende reiseliv - sluttrapport 

  Torrado, Juan Carlos; Fuglerud, Kristin Skeide; Haugan, Anne-Bjørg; Dale, Marianne; Wiborg, Berit Lilly; Andersen, Rita (Report at the Norwegian Computing Center;, Research report, 2025)

• MAP IT to Visualize Representations 

  Jenssen, Robert (Journal article, 2024)

  MAP IT visualizes representations by taking a fundamentally different approach to dimensionality reduction. MAP IT aligns distributions over discrete marginal probabilities in the input space versus the target space, thus ...

• Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks 

  Møller, Bjørn; Igel, Christian; Wickstrøm, Kristoffer Knutsen; Sporring, Jon; Jenssen, Robert; Ibragimov, Bulat (Journal article; Peer reviewed, 2024)

  Unsupervised representation learning has become an important ingredient of today’s deep learning systems. However, only a few methods exist that explain a learned vector embedding in the sense of providing information about ...

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