Jo Eidsvik

According to our database, Jo Eidsvik authored at least 22 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Dynamic stochastic modeling for adaptive sampling of environmental variables using an AUV.

Gunhild Elisabeth Berget, Jo Eidsvik, Morten Omholt Alver, Tor Arne Johansen

Auton. Robots, April, 2023

Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models - with an application to benthic habitat mapping.

Susan C. Anyosa, Jo Eidsvik, Oscar Pizarro

Comput. Stat. Data Anal., 2023

Latent Diffusion Model for Conditional Reservoir Facies Generation.

Daesoo Lee, Oscar Ovanger, Jo Eidsvik, Erlend Aune, Jacob Skauvold, Ragnar Hauge

CoRR, 2023

2022

VNIbCReg: VICReg with Neighboring-Invariance and better-Covariance Evaluated on Non-stationary Seismic Signal Time Series.

Daesoo Lee, Erlend Aune, Nadège Langet, Jo Eidsvik

CoRR, 2022

2020

Compact models for adaptive sampling in marine robotics.

Trygve Olav Fossum, John P. Ryan, Tapan Mukerji, Jo Eidsvik, Thom Maughan, Martin Ludvigsen, Kanna Rajan

Int. J. Robotics Res., 2020

Value of Information Analysis for Complex Simulator Models: Application to Wind Farm Maintenance.

Hans Olav Vogt Myklebust, Jo Eidsvik, Iver Bakken Sperstad, Debarun Bhattacharjya

Decis. Anal., 2020

Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling.

Trygve Olav Fossum, Cédric Travelletti, Jo Eidsvik, David Ginsbourger, Kanna Rajan

CoRR, 2020

2019

Toward adaptive robotic sampling of phytoplankton in the coastal ocean.

Glaucia Moreira Fragoso, Emlyn J. Davies, Jenny E. Ullgren, Renato Mendes, Geir Johnsen, Ingrid Ellingsen, Jo Eidsvik, Martin Ludvigsen, Kanna Rajan

Sci. Robotics, 2019

Adaptive Underwater Robotic Sampling of Dispersal Dynamics in the Coastal Ocean.

Gunhild Elisabeth Berget, Jo Eidsvik, Morten Omholt Alver, Frédéric Py, Esten Ingar Grøtli, Tor Arne Johansen

Proceedings of the Robotics Research, 2019

2018

Information-driven robotic sampling in the coastal ocean.

Trygve Olav Fossum, Jo Eidsvik, Ingrid Ellingsen, Morten Omholt Alver, Glaucia Moreira Fragoso, Geir Johnsen, Renato Mendes, Martin Ludvigsen, Kanna Rajan

J. Field Robotics, 2018

LIDAR Extended Object Tracking of a Maritime Vessel Using an Ellipsoidal Contour Model.

Kristian Amundsen Ruud, Edmund Førland Brekke, Jo Eidsvik

Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2018

2017

Efficient designs for Bayesian networks with sub-tree bounds.

Marie Lilleborge, Jo Eidsvik

Stat. Comput., 2017

2016

A skewed unscented Kalman filter.

Javad Rezaie, Jo Eidsvik

Int. J. Control, 2016

2014

Parameter estimation in high dimensional Gaussian distributions.

Erlend Aune, Daniel P. Simpson, Jo Eidsvik

Stat. Comput., 2014

Dynamic exploration designs for graphical models using clustering with applications to petroleum exploration.

Gabriele Martinelli, Jo Eidsvik

Knowl. Based Syst., 2014

Kalman filter variants in the closed skew normal setting.

Javad Rezaie, Jo Eidsvik

Comput. Stat. Data Anal., 2014

2013

Iterative numerical methods for sampling from high dimensional Gaussian distributions.

Erlend Aune, Jo Eidsvik, Yvo Pokern

Stat. Comput., 2013

Dynamic decision making for graphical models applied to oil exploration.

Gabriele Martinelli, Jo Eidsvik, Ragnar Hauge

Eur. J. Oper. Res., 2013

The Value of Information in Portfolio Problems with Dependent Projects.

Debarun Bhattacharjya, Jo Eidsvik, Tapan Mukerji

Decis. Anal., 2013

2012

Approximate Bayesian inference for large spatial datasets using predictive process models.

Jo Eidsvik, Andrew O. Finley, Sudipto Banerjee, Håvard Rue

Comput. Stat. Data Anal., 2012

2011

Approximate Bayesian inference in spatial GLMM with skew normal latent variables.

Fatemeh Hosseini, Jo Eidsvik, Mohsen Mohammadzadeh

Comput. Stat. Data Anal., 2011

2006

On directional Metropolis-Hastings algorithms.

Jo Eidsvik, Håkon Tjelmeland

Stat. Comput., 2006