Geir Storvik

25 papers C 3Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dirichlet Scale Mixture Priors for Bayesian Neural Networks.
CoRR
August Arnstad, Leiv Rønneberg, Geir Storvik
2025 J jnl
FBMS: An R Package for Flexible Bayesian Model Selection and Model Averaging.
CoRR
Florian Frommlet, Jon Lachmann, Geir Storvik, Aliaksandr Hubin
2024 J jnl
Sparsifying Bayesian neural networks with latent binary variables and normalizing flows.
Trans. Mach. Learn. Res.
Lars Skaaret-Lund, Geir Storvik, Aliaksandr Hubin
2023 J jnl
Sparsifying Bayesian neural networks with latent binary variables and normalizing flows.
CoRR
Lars Skaaret-Lund, Geir Storvik, Aliaksandr Hubin
2023 J jnl
Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty.
CoRR
Aliaksandr Hubin, Geir Storvik
2022 J jnl
A subsampling approach for Bayesian model selection.
Int. J. Approx. Reason.
Jon Lachmann, Geir Storvik, Florian Frommlet, Aliaksandr Hubin
2021 J jnl
Flexible Bayesian Nonlinear Model Configuration.
J. Artif. Intell. Res.
Aliaksandr Hubin, Geir Storvik, Florian Frommlet
2020 J jnl
Flexible Bayesian Nonlinear Model Configuration.
CoRR
Aliaksandr Hubin, Geir Storvik, Florian Frommlet
2019 J jnl
Combining Model and Parameter Uncertainty in Bayesian Neural Networks.
CoRR
Aliaksandr Hubin, Geir Storvik
2019 J jnl
Graph Peak Caller: Calling ChIP-seq peaks on graph-based reference genomes.
PLoS Comput. Biol.
Ivar Grytten, Knut D. Rand, Alexander Johan Nederbragt, Geir Storvik, Ingrid Kristine Glad, Geir Kjetil Sandve
2018 J jnl
Mode jumping MCMC for Bayesian variable selection in GLMM.
Comput. Stat. Data Anal.
Aliaksandr Hubin, Geir Storvik
2017 J jnl
Coordinates and intervals in graph-based reference genomes.
BMC Bioinform.
Knut D. Rand, Ivar Grytten, Alexander Johan Nederbragt, Geir Storvik, Ingrid Kristine Glad, Geir Kjetil Sandve
2009 J jnl
On the Combination of Multisensor Data Using Meta-Gaussian Distributions.
IEEE Trans. Geosci. Remote. Sens.
Bard Storvik, Geir Storvik, Roger Fjørtoft
2005 J jnl
A bayesian approach to classification of multiresolution remote sensing data.
IEEE Trans. Geosci. Remote. Sens.
Geir Storvik, Roger Fjørtoft, Anne H. Schistad Solberg
2003 C conf
Joint distributions for correlated radar images.
IGARSS
Bard Storvik, Geir Storvik, Roger Fjørtoft
2003 C conf
Parameter estimation and classification of multiscale remote sensing data.
IGARSS
Geir Storvik, Roger Fjørtoft, Anne H. Schistad Solberg
2002 C conf
A comparison of criteria for decision fusion and parameter estimation in statistical multisensor image classification.
IGARSS
Anne H. Schistad Solberg, Geir Storvik, Roger Fjørtoft
2002 J jnl
Large-Scale Integer Programs in Image Analysis.
Oper. Res.
Geir Dahl, Geir Storvik, Alice Fadnes
2002 J jnl
Particle filters for state-space models with the presence of unknown static parameters.
IEEE Trans. Signal Process.
Geir Storvik
2001 — ch.
Deterministic and Stochastic Particle Filters in State-Space Models.
Sequential Monte Carlo Methods in Practice
Erik Bølviken, Geir Storvik
2000 J jnl
Lagrangian-based methods for finding MAP solutions for MRF models.
IEEE Trans. Image Process.
Geir Storvik, Geir Dahl
1999 J jnl
Automatic detection of oil spills in ERS SAR images.
IEEE Trans. Geosci. Remote. Sens.
Anne H. Schistad Solberg, Geir Storvik, Rune Solberg, Espen Volden
1995 J jnl
Segmentation of brain parenchyma and cerebrospinal fluid in multispectral magnetic resonance images.
IEEE Trans. Medical Imaging
Arvid Lundervold, Geir Storvik
1994 J jnl
A Bayesian Approach to Dynamic Contours Through Stochastic Sampling and Simulated Annealing.
IEEE Trans. Pattern Anal. Mach. Intell.
Geir Storvik
1992 — conf
Combining range and intensity data with a hidden Markov model.
ICPR (2)
Ragnar Bang Huseby, Gutorm Thomas Hogasen, Geir Storvik, Kjersti Aas