Sigurd Holmsen

• Holmsen, Sigurd; Eidnes, Sølve & Riemer-Sørensen, Signe (2024). Pseudo-Hamiltonian system identification. Journal of Computational Dynamics. ISSN 2158-2505. 11(1), s. 59–91. doi: 10.3934/jcd.2024001. Fulltekst i vitenarkiv Vis sammendrag

  Identifying the underlying dynamics of physical systems can be challenging when only provided with observational data. In this work, we consider systems that can be modelled as first-order ordinary differential equations. By assuming a certain pseudo-Hamiltonian formulation, we are able to learn the analytic terms of internal dynamics even if the model is trained on data where the system is affected by unknown damping and external disturbances. In cases where it is difficult to find analytic terms for the disturbances, a hybrid model that uses a neural network to learn these can still accurately identify the dynamics of the system as if under ideal conditions. This makes the models applicable in some situations where other system identification models fail. Furthermore, we propose to use a fourth-order symmetric integration scheme in the loss function and avoid actual integration in the training, and demonstrate on varied examples how this leads to increased performance on noisy data.

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• Melteig, Elina; Glad, Ingrid Kristine; Ramezani-Kebrya, Ali; Pérez, Johan Manuel de Aguas; Holmsen, Sigurd & Palomares, Alfonso Diz-Lois [Vis alle 7 forfattere av denne artikkelen] (2026). Blir KI vår dommedag? Ekspertene strides. [Journal]. Titan. Fulltekst i vitenarkiv
• Poiesz, Emil & Holmsen, Sigurd (2026). Hva skjer i kunstig intelligens? Siste nytt fra forskningsfronten. doi: https:/www.arendalsuka.no/program/hva-skjer-i-kunstig-intelligens-siste-nytt-fra-forskningsfronten. Fulltekst i vitenarkiv Vis sammendrag

  Presentasjon under Arendalsuka om energibruk til KI modeller

• Arnstad, August & Holmsen, Sigurd (2025). Hvorfor henger KI etter i den fysiske verden? Fulltekst i vitenarkiv Vis sammendrag

  Innblikk i ulike scenarioer hvor virkelighetsgapet mellom mennesker og kunstig intelligens/robotikk er av varierende omfang.

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