Håkon Noren Myhr
Publications
2025
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Myhr, Håkon Noren;
Jackaman, James.
(2025)
På innsiden av dyp læring med store språkmodeller.
Exhibition
2024
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Myhr, Håkon Noren;
Eidnes, Sølve.
(2024)
Derivative-free discrete gradient methods.
Journal of Computational Dynamics
Academic article
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Celledoni, Elena;
Eidnes, Sølve;
Myhr, Håkon Noren.
(2024)
Learning dynamical systems from noisy data with inverse-explicit integrators.
Physica D : Non-linear phenomena
Academic article
2023
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Myhr, Håkon Noren.
(2023)
Mapping lakes and learning Hamiltonians.
ECMI Newsletter
Popular science article
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Myhr, Håkon Noren.
(2023)
Learning Hamiltonian Systems with Mono-Implicit Runge-Kutta Methods.
Lecture Notes in Computer Science (LNCS)
Academic article
Journal publications
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Myhr, Håkon Noren.
(2023)
Mapping lakes and learning Hamiltonians.
ECMI Newsletter
Popular science article
-
Myhr, Håkon Noren;
Eidnes, Sølve.
(2024)
Derivative-free discrete gradient methods.
Journal of Computational Dynamics
Academic article
-
Myhr, Håkon Noren.
(2023)
Learning Hamiltonian Systems with Mono-Implicit Runge-Kutta Methods.
Lecture Notes in Computer Science (LNCS)
Academic article
-
Celledoni, Elena;
Eidnes, Sølve;
Myhr, Håkon Noren.
(2024)
Learning dynamical systems from noisy data with inverse-explicit integrators.
Physica D : Non-linear phenomena
Academic article
Artistic productions
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Myhr, Håkon Noren;
Jackaman, James.
(2025)
På innsiden av dyp læring med store språkmodeller.
Exhibition
Outreach
2024
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Conference lectureMyhr, Håkon Noren. (2024) Mono-implicit integrators for learning Hamiltonian systems. PhysML Workshop 2024
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Conference lecture
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LectureMyhr, Håkon Noren. (2024) Mono-implicit integrators for learning Hamiltonian systems. Cambridge Image Analysis Seminar
2023
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Conference lectureEidnes, Sølve; Bøhn, Eivind Eigil; Lye, Kjetil Olsen; Myhr, Håkon Noren; Riemer-Sørensen, Signe; Stasik, Alexander Johannes; Sterud, Camilla. (2023) Pseudo-Hamiltonian neural networks. 22nd ECMI Conference on Industrial and Applied Mathematics
2022
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Conference lecture
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Conference posterNoren, Håkon; Celledoni, Elena; Eidnes, Sølve. (2022) Numerical integrators for learning dynamical systems from noisy data. The Symbiosis of Deep Learning and Differential Equations