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2020 – today
- 2023
[i4]Aliaksandr Hubin, Geir Storvik:
Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty. CoRR abs/2305.00934 (2023)- [i3]Lars Skaaret-Lund, Geir Storvik, Aliaksandr Hubin:
Sparsifying Bayesian neural networks with latent binary variables and normalizing flows. CoRR abs/2305.03395 (2023) - 2022
- [j13]Jon Lachmann, Geir Storvik, Florian Frommlet, Aliaksandr Hubin
:
A subsampling approach for Bayesian model selection. Int. J. Approx. Reason. 151: 33-63 (2022) - 2021
- [j12]Aliaksandr Hubin, Geir Storvik, Florian Frommlet:
Flexible Bayesian Nonlinear Model Configuration. J. Artif. Intell. Res. 72: 901-942 (2021) - 2020
- [i2]Aliaksandr Hubin, Geir Storvik, Florian Frommlet:
Flexible Bayesian Nonlinear Model Configuration. CoRR abs/2003.02929 (2020)
2010 – 2019
- 2019
- [j11]Ivar Grytten, Knut D. Rand, Alexander Johan Nederbragt, Geir Storvik, Ingrid Kristine Glad, Geir Kjetil Sandve:
Graph Peak Caller: Calling ChIP-seq peaks on graph-based reference genomes. PLoS Comput. Biol. 15(2) (2019) - [i1]Aliaksandr Hubin, Geir Storvik:
Combining Model and Parameter Uncertainty in Bayesian Neural Networks. CoRR abs/1903.07594 (2019) - 2018
- [j10]Aliaksandr Hubin, Geir Storvik:
Mode jumping MCMC for Bayesian variable selection in GLMM. Comput. Stat. Data Anal. 127: 281-297 (2018) - 2017
- [j9]Knut D. Rand, Ivar Grytten, Alexander Johan Nederbragt, Geir Storvik, Ingrid Kristine Glad, Geir Kjetil Sandve:
Coordinates and intervals in graph-based reference genomes. BMC Bioinform. 18(1): 263:1-263:8 (2017)
2000 – 2009
- 2009
- [j8]Bard Storvik, Geir Storvik, Roger Fjørtoft:
On the Combination of Multisensor Data Using Meta-Gaussian Distributions. IEEE Trans. Geosci. Remote. Sens. 47(7-2): 2372-2379 (2009) - 2005
- [j7]Geir Storvik, Roger Fjørtoft, Anne H. Schistad Solberg:
A bayesian approach to classification of multiresolution remote sensing data. IEEE Trans. Geosci. Remote. Sens. 43(3): 539-547 (2005) - 2003
- [c4]Geir Storvik, Roger Fjørtoft, Anne H. Schistad Solberg:
Parameter estimation and classification of multiscale remote sensing data. IGARSS 2003: 1047-1049 - [c3]Bard Storvik, Geir Storvik, Roger Fjørtoft:
Joint distributions for correlated radar images. IGARSS 2003: 2011-2013 - 2002
- [j6]Geir Dahl, Geir Storvik, Alice Fadnes:
Large-Scale Integer Programs in Image Analysis. Oper. Res. 50(3): 490-500 (2002) - [j5]Geir Storvik:
Particle filters for state-space models with the presence of unknown static parameters. IEEE Trans. Signal Process. 50(2): 281-289 (2002) - [c2]Anne H. Schistad Solberg, Geir Storvik, Roger Fjørtoft:
A comparison of criteria for decision fusion and parameter estimation in statistical multisensor image classification. IGARSS 2002: 72-74 - 2001
- [p1]Erik Bølviken, Geir Storvik:
Deterministic and Stochastic Particle Filters in State-Space Models. Sequential Monte Carlo Methods in Practice 2001: 97-116 - 2000
- [j4]Geir Storvik, Geir Dahl:
Lagrangian-based methods for finding MAP solutions for MRF models. IEEE Trans. Image Process. 9(3): 469-479 (2000)
1990 – 1999
- 1999
- [j3]Anne H. Schistad Solberg, Geir Storvik, Rune Solberg, Espen Volden:
Automatic detection of oil spills in ERS SAR images. IEEE Trans. Geosci. Remote. Sens. 37(4): 1916-1924 (1999) - 1995
- [j2]Arvid Lundervold, Geir Storvik:
Segmentation of brain parenchyma and cerebrospinal fluid in multispectral magnetic resonance images. IEEE Trans. Medical Imaging 14(2): 339-349 (1995) - 1994
- [j1]Geir Storvik:
A Bayesian Approach to Dynamic Contours Through Stochastic Sampling and Simulated Annealing. IEEE Trans. Pattern Anal. Mach. Intell. 16(10): 976-986 (1994) - 1992
- [c1]Ragnar Bang Huseby, Gutorm Thomas Hogasen, Geir Storvik, Kjersti Aas:
Combining range and intensity data with a hidden Markov model. ICPR (2) 1992: 128-131
Coauthor Index
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