Jo Eidsvik

29 papers C 1Journal 27Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Latent diffusion model for conditional reservoir facies generation.
Comput. Geosci.
Daesoo Lee, Oscar Ovanger, Jo Eidsvik, Erlend Aune, Jacob Skauvold, Ragnar Hauge
2025 J jnl
Local conditioning in posterior sampling methods with example cases in subsurface inversion.
Comput. Geosci.
Mina Spremic, Jo Eidsvik, Thomas Mejer Hansen
2025 J jnl
Multi-level data assimilation for ocean forecasting using the shallow-water equations.
J. Comput. Phys.
Florian Beiser, Håvard Heitlo Holm, Kjetil Olsen Lye, Jo Eidsvik
2025 J jnl
PointSSIM: A novel low dimensional resolution invariant image-to-image comparison metric.
CoRR
Oscar Ovanger, Ragnar Hauge, Jacob Skauvold, Michael J. Pyrcz, Jo Eidsvik
2025 J jnl
RRT*-enhanced long-horizon path planning for AUV adaptive sampling using a cost valley.
Knowl. Based Syst.
Yaolin Ge, Jo Eidsvik, André Julius Hovd Olaisen
2024 J jnl
Edge Computing in Distributed Acoustic Sensing: An Application in Traffic Monitoring.
CoRR
Khanh Truong, Jo Eidsvik, Robin André Rørstadbotnen
2024 J jnl
Evaluating geophysical monitoring strategies for a CO2 storage project.
Comput. Geosci.
Susan C. Anyosa, Jo Eidsvik, Dario Grana
2023 J jnl
Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models - with an application to benthic habitat mapping.
Comput. Stat. Data Anal.
Susan C. Anyosa, Jo Eidsvik, Oscar Pizarro
2023 J jnl
Dynamic stochastic modeling for adaptive sampling of environmental variables using an AUV.
Auton. Robots
Gunhild Elisabeth Berget, Jo Eidsvik, Morten Omholt Alver, Tor Arne Johansen
2023 J jnl
Latent Diffusion Model for Conditional Reservoir Facies Generation.
CoRR
Daesoo Lee, Oscar Ovanger, Jo Eidsvik, Erlend Aune, Jacob Skauvold, Ragnar Hauge
2022 J jnl
VNIbCReg: VICReg with Neighboring-Invariance and better-Covariance Evaluated on Non-stationary Seismic Signal Time Series.
CoRR
Daesoo Lee, Erlend Aune, Nadège Langet, Jo Eidsvik
2020 J jnl
Compact models for adaptive sampling in marine robotics.
Int. J. Robotics Res.
Trygve Olav Fossum, John P. Ryan, Tapan Mukerji, Jo Eidsvik, Thom Maughan, Martin Ludvigsen, Kanna Rajan
2020 J jnl
Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling.
CoRR
Trygve Olav Fossum, Cédric Travelletti, Jo Eidsvik, David Ginsbourger, Kanna Rajan
2020 J jnl
Value of Information Analysis for Complex Simulator Models: Application to Wind Farm Maintenance.
Decis. Anal.
Hans Olav Vogt Myklebust, Jo Eidsvik, Iver Bakken Sperstad, Debarun Bhattacharjya
2019 C conf
Adaptive Underwater Robotic Sampling of Dispersal Dynamics in the Coastal Ocean.
ISRR
Gunhild Elisabeth Berget, Jo Eidsvik, Morten Omholt Alver, Frédéric Py, Esten Ingar Grøtli, Tor Arne Johansen
2019 J jnl
Toward adaptive robotic sampling of phytoplankton in the coastal ocean.
Sci. Robotics
Glaucia Moreira Fragoso, Emlyn J. Davies, Jenny E. Ullgren, Renato Mendes, Geir Johnsen, Ingrid Ellingsen, Jo Eidsvik, Martin Ludvigsen, Kanna Rajan
2018 J jnl
Information-driven robotic sampling in the coastal ocean.
J. Field Robotics
Trygve Olav Fossum, Jo Eidsvik, Ingrid Ellingsen, Morten Omholt Alver, Glaucia Moreira Fragoso, Geir Johnsen, Renato Mendes, Martin Ludvigsen, Kanna Rajan
2018 — conf
LIDAR Extended Object Tracking of a Maritime Vessel Using an Ellipsoidal Contour Model.
SDF
Kristian Amundsen Ruud, Edmund Førland Brekke, Jo Eidsvik
2017 J jnl
Efficient designs for Bayesian networks with sub-tree bounds.
Stat. Comput.
Marie Lilleborge, Jo Eidsvik
2016 J jnl
A skewed unscented Kalman filter.
Int. J. Control
Javad Rezaie, Jo Eidsvik
2014 J jnl
Dynamic exploration designs for graphical models using clustering with applications to petroleum exploration.
Knowl. Based Syst.
Gabriele Martinelli, Jo Eidsvik
2014 J jnl
Kalman filter variants in the closed skew normal setting.
Comput. Stat. Data Anal.
Javad Rezaie, Jo Eidsvik
2014 J jnl
Parameter estimation in high dimensional Gaussian distributions.
Stat. Comput.
Erlend Aune, Daniel P. Simpson, Jo Eidsvik
2013 J jnl
Dynamic decision making for graphical models applied to oil exploration.
Eur. J. Oper. Res.
Gabriele Martinelli, Jo Eidsvik, Ragnar Hauge
2013 J jnl
Iterative numerical methods for sampling from high dimensional Gaussian distributions.
Stat. Comput.
Erlend Aune, Jo Eidsvik, Yvo Pokern
2013 J jnl
The Value of Information in Portfolio Problems with Dependent Projects.
Decis. Anal.
Debarun Bhattacharjya, Jo Eidsvik, Tapan Mukerji
2012 J jnl
Approximate Bayesian inference for large spatial datasets using predictive process models.
Comput. Stat. Data Anal.
Jo Eidsvik, Andrew O. Finley, Sudipto Banerjee, Håvard Rue
2011 J jnl
Approximate Bayesian inference in spatial GLMM with skew normal latent variables.
Comput. Stat. Data Anal.
Fatemeh Hosseini, Jo Eidsvik, Mohsen Mohammadzadeh
2006 J jnl
On directional Metropolis-Hastings algorithms.
Stat. Comput.
Jo Eidsvik, Håkon Tjelmeland