PointSSIM: A novel low dimensional resolution invariant image-to-image comparison metric.

RRT*-enhanced long-horizon path planning for AUV adaptive sampling using a cost valley.

Multi-level data assimilation for ocean forecasting using the shallow-water equations.

Local conditioning in posterior sampling methods with example cases in subsurface inversion.

Latent diffusion model for conditional reservoir facies generation.

Evaluating geophysical monitoring strategies for a CO2 storage project.

Edge Computing in Distributed Acoustic Sensing: An Application in Traffic Monitoring.

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

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

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

Compact models for adaptive sampling in marine robotics.

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

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

Toward adaptive robotic sampling of phytoplankton in the coastal ocean.

Information-driven robotic sampling in the coastal ocean.

Efficient designs for Bayesian networks with sub-tree bounds.

A skewed unscented Kalman filter.

Parameter estimation in high dimensional Gaussian distributions.

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

Kalman filter variants in the closed skew normal setting.

Iterative numerical methods for sampling from high dimensional Gaussian distributions.

Dynamic decision making for graphical models applied to oil exploration.

The Value of Information in Portfolio Problems with Dependent Projects.

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

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

On directional Metropolis-Hastings algorithms.