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PhD Student / Machine Learning Department of Physics and Technology harald.l.joakimsen@uit.no Tromsø

Harald Lykke Joakimsen

  • Lars Uebbing, Harald Lykke Joakimsen, Luigi Tommaso Luppino, Iver Martinsen, Andrew McDonald, Kristoffer Wickstrøm et al.:
    Investigating the Impact of Feature Reduction for Deep Learning-based Seasonal Sea Ice Forecasting
    Proceedings of Machine Learning Research (PMLR) 2025 DOI
  • Harald Lykke Joakimsen, Iver Martinsen, Luigi Tommaso Luppino, Andrew McDonald, Scott Hosking, Robert Jenssen :
    Interrogating Sea Ice Predictability with Gradients
    IEEE Geoscience and Remote Sensing Letters 2024 DOI / ARKIV
  • Lars Uebbing, Harald Lykke Joakimsen, Kristoffer Wickstrøm, Michael Kampffmeyer, Sebastien Francois Lefevre, Arnt Børre Salberg et al.:
    NOFE - Neural Operator Function Embedding
    2025
  • Lars Uebbing, Harald Lykke Joakimsen, Kristoffer Wickstrøm, Michael Kampffmeyer, Sebastien Francois Lefevre, Arnt Børre Salberg et al.:
    NOFE Neural Operator Function Embedding
    2025 DOI
  • Robert Jenssen, Luigi Tommaso Luppino, Rune Endresen Ytreberg, Mark Andrew Girolami, Iver Martinsen, Harald Lykke Joakimsen :
    Midt i skitværet spår de bedre og raskere værmelding
    10. January 2024
  • Lars Uebbing, Harald Lykke Joakimsen, Luigi Tommaso Luppino, Iver Martinsen, Andrew McDonald, Kristoffer Knutsen Wickstrøm et al.:
    Investigating the Impact of Feature Reduction for Deep Learning-based Seasonal Sea Ice Forecasting
    2024
  • Harald Lykke Joakimsen, Iver Martinsen, Luigi Tommaso Luppino, Robert Jenssen :
    "Explainable" IceNet with backpropagated gradients
    2023

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