Automatic geobody detection from seismic data using minimum message length clustering. - Ying Xu 002; Jef Caers; Cristina Arroyo-Garcia (Comput. Geosci., 2004)

Solving spatial inverse problems using the probability perturbation method: An S-GEMS implementation. - Ting Li; Jef Caers (Comput. Geosci., 2008)

2011 Best-paper awards. - Jef Caers (Comput. Geosci., 2012)

2012 Best-paper awards - Computers & Geosciences. - Jef Caers (Comput. Geosci., 2013)

SGEMS-UQ: An uncertainty quantification toolkit for SGEMS. - Lewis Li; Alexandre Boucher; Jef Caers (Comput. Geosci., 2014)

MS-CCSIM: Accelerating pattern-based geostatistical simulation of categorical variables using a multi-scale search in Fourier space. - Pejman Tahmasebi; Muhammad Sahimi; Jef Caers (Comput. Geosci., 2014)

DGSA: A Matlab toolbox for distance-based generalized sensitivity analysis of geoscientific computer experiments. - Jihoon Park; Guang Yang; Addy Satija; Céline Scheidt; Jef Caers (Comput. Geosci., 2016)

Stochastic simulation by image quilting of process-based geological models. - Júlio Hoffimann; Céline Scheidt; Adrian S. Barfod; Jef Caers (Comput. Geosci., 2017)

VRGE: An Immersive Visualization Application for the Geosciences. - David A. B. Hyde; Tyler R. Hall; Jef Caers (SciVis, 2018)

Assessing and visualizing uncertainty of 3D geological surfaces using level sets with stochastic motion. - Liang Yang 005; David Hyde 001; Ognjen Grujic; Céline Scheidt; Jef Caers (Comput. Geosci., 2019)

Direct forecasting of global and spatial model parameters from dynamic data. - Jihoon Park; Jef Caers (Comput. Geosci., 2020)

A geostatistical implicit modeling framework for uncertainty quantification of 3D geo-domain boundaries: Application to lithological domains from a porphyry copper deposit. - Francky Fouedjio; Céline Scheidt; Liang Yang 005; Peter Achtziger-Zupancic; Jef Caers (Comput. Geosci., 2021)

A POMDP Model for Safe Geological Carbon Sequestration. - Anthony Corso 001; Yizheng Wang; Markus Zechner; Jef Caers; Mykel J. Kochenderfer (CoRR, 2022)

Quantifying Uncertainty in Downscaling of Seismic Data to High-Resolution 3-D Lithological Models. - Zhen Yin; Maisha Amaru; Yizheng Wang; Lewis Li; Jef Caers (IEEE Trans. Geosci. Remote. Sens., 2022)

Optimizing Carbon Storage Operations for Long-Term Safety. - Yizheng Wang; Markus Zechner; Gege Wen; Anthony Louis Corso; John Michael Mern; Mykel J. Kochenderfer; Jef Karel Caers (CoRR, 2023)

Unraveling the uncertainty of geological interfaces through data-knowledge-driven trend surface analysis. - Lijing Wang; Luk Peeters; Emma J. MacKie; Zhen Yin; Jef Caers (Comput. Geosci., 2023)

BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations. - Robert J. Moss; Anthony Corso 001; Jef Caers; Mykel J. Kochenderfer (RLJ, 2024)

Intelligent prospector v2.0: exploration drill planning under epistemic model uncertainty. - John Mern; Anthony Corso 001; Damian Burch; Kurt House; Jef Caers (CoRR, 2024)

Uncovering heterogeneous effects in computational models for sustainable decision-making. - Mariia Kozlova; Robert J. Moss; Julian Scott Yeomans; Jef Caers (Environ. Model. Softw., 2024)

Knowledge-driven stochastic modeling of geological geometry features conditioned on drillholes and outcrop contacts. - Xiaolong Wei; Zhen Yin; Wilson Bonner; Jef Caers (Comput. Geosci., 2025)

Quantifying Model Misrepresentation in Geophysical Inversion for Critical Mineral Exploration. - Zhen Yin; Alex Miltenberger; Mark Topinka; Lijing Wang; Tapan Mukerji; Jef Caers (IEEE Trans. Geosci. Remote. Sens., 2025)

Managing Geological Uncertainty in Critical Mineral Supply Chains: A POMDP Approach with Application to U.S. Lithium Resources. - Mansur M. Arief; Yasmine Alonso; CJ Oshiro; William Xu; Anthony Corso 001; David Zhen Yin; Jef Karel Caers; Mykel J. Kochenderfer (CoRR, 2025)