264 citations
- University of OsloNO17 papers
- UiT The Arctic University of NorwayNO16 papers
- Centre for Arctic Gas Hydrate, Environment and ClimateNO4 papers
- Heidelberg UniversityDE4 papers
- Michigan State UniversityUS3 papers
- Norwegian University of Science and TechnologyNO3 papers
- General Electric (Norway)NO2 papers
- Heidelberg Institute for Theoretical StudiesDE2 papers
- National Oceanic and Atmospheric AdministrationUS2 papers
- Norwegian Meteorological InstituteNO2 papers
- Oslo University HospitalNO2 papers
- Université Sorbonne Paris NordFR2 papers
6 papers · 1 filter
Quantum State Preparation with Resolution Refinement
Scott Bogner, Heiko Hergert, Morten Hjorth-Jensen +3
We introduce a method called resolution refinement that allows one to bootstrap eigenstate preparation on a quantum computer. We first prepare an eigenstate of a low-resolution Ham…
WiseLVAM: A Novel Framework For Left Ventricle Automatic Measurements
Durgesh Kumar Singh, Qing Cao, Sarina Thomas +3
Clinical guidelines recommend performing left ventricular (LV) linear measurements in B-mode echocardiographic images at the basal level -- typically at the mitral valve leaflet ti…
Simulation and evaluation of local daily temperature and precipitation series derived by stochastic downscaling of ERA5 reanalysis
Silius M. Vandeskog, Thordis L. Thorarinsdottir, Alex Lenkoski
Reanalysis products such as the ERA5 reanalysis are commonly used as proxies for observed atmospheric conditions. These products are convenient to use due to their global coverage,…
DiffFuSR: Super-Resolution of all Sentinel-2 Multispectral Bands using Diffusion Models
Muhammad Sarmad, Arnt-Børre Salberg, Michael Kampffmeyer
This paper presents DiffFuSR, a modular pipeline for super-resolving all 12 spectral bands of Sentinel-2 Level-2A imagery to a unified ground sampling distance (GSD) of 2.5 meters.…
Optimizing Data Augmentation through Bayesian Model Selection
Madi Matymov, Ba-Hien Tran, Michael Kampffmeyer +2
Data Augmentation (DA) has become an essential tool to improve robustness and generalization of modern machine learning. However, when deciding on DA strategies it is critical to c…
Adding smoothing splines to the SAM model improves stock assessment
Silius M. Vandeskog, Magne Aldrin, Daniel Howell +1
The stock assessment model SAM contains a large number of age-dependent parameters that must be manually grouped together to obtain robust inference. This can make the model select…