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Jef Caers
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Journal Articles
- 2025
- [j16]Xiaolong Wei, Zhen Yin, Wilson Bonner, Jef Caers:
Knowledge-driven stochastic modeling of geological geometry features conditioned on drillholes and outcrop contacts. Comput. Geosci. 196: 105779 (2025) - 2024
- [j15]Robert J. Moss, Anthony Corso, Jef Caers, Mykel J. Kochenderfer:
BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations. RLJ 1: 158-181 (2024) - [j14]Mariia Kozlova, Robert J. Moss, Julian Scott Yeomans, Jef Caers:
Uncovering heterogeneous effects in computational models for sustainable decision-making. Environ. Model. Softw. 171: 105898 (2024) - 2023
- [j13]Lijing Wang, Luk Peeters, Emma J. MacKie, Zhen Yin, Jef Caers:
Unraveling the uncertainty of geological interfaces through data-knowledge-driven trend surface analysis. Comput. Geosci. 178: 105419 (2023) - 2022
- [j12]Zhen Yin, Maisha Amaru, Yizheng Wang, Lewis Li, Jef Caers:
Quantifying Uncertainty in Downscaling of Seismic Data to High-Resolution 3-D Lithological Models. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - 2021
- [j11]Francky Fouedjio, Céline Scheidt, Liang Yang, Peter Achtziger-Zupancic, Jef Caers:
A geostatistical implicit modeling framework for uncertainty quantification of 3D geo-domain boundaries: Application to lithological domains from a porphyry copper deposit. Comput. Geosci. 157: 104931 (2021) - 2020
- [j10]Jihoon Park, Jef Caers:
Direct forecasting of global and spatial model parameters from dynamic data. Comput. Geosci. 143: 104567 (2020) - 2019
- [j9]Liang Yang, David Hyde, Ognjen Grujic, Céline Scheidt, Jef Caers:
Assessing and visualizing uncertainty of 3D geological surfaces using level sets with stochastic motion. Comput. Geosci. 122: 54-67 (2019) - 2017
- [j8]Júlio Hoffimann, Céline Scheidt, Adrian S. Barfod, Jef Caers:
Stochastic simulation by image quilting of process-based geological models. Comput. Geosci. 106: 18-32 (2017) - 2016
- [j7]Jihoon Park, Guang Yang, Addy Satija, Céline Scheidt, Jef Caers:
DGSA: A Matlab toolbox for distance-based generalized sensitivity analysis of geoscientific computer experiments. Comput. Geosci. 97: 15-29 (2016) - 2014
- [j6]Lewis Li, Alexandre Boucher, Jef Caers:
SGEMS-UQ: An uncertainty quantification toolkit for SGEMS. Comput. Geosci. 62: 12-24 (2014) - [j5]Pejman Tahmasebi, Muhammad Sahimi, Jef Caers:
MS-CCSIM: Accelerating pattern-based geostatistical simulation of categorical variables using a multi-scale search in Fourier space. Comput. Geosci. 67: 75-88 (2014) - 2013
- [j4]Jef Caers:
2012 Best-paper awards - Computers & Geosciences. Comput. Geosci. 57: 218 (2013) - 2012
- [j3]Jef Caers:
2011 Best-paper awards. Comput. Geosci. 48: 340 (2012) - 2008
- [j2]Ting Li, Jef Caers:
Solving spatial inverse problems using the probability perturbation method: An S-GEMS implementation. Comput. Geosci. 34(9): 1127-1141 (2008) - 2004
- [j1]Ying Xu, Jef Caers, Cristina Arroyo-Garcia:
Automatic geobody detection from seismic data using minimum message length clustering. Comput. Geosci. 30(7): 741-751 (2004)
Conference and Workshop Papers
- 2018
- [c1]David A. B. Hyde, Tyler R. Hall, Jef Caers:
VRGE: An Immersive Visualization Application for the Geosciences. SciVis 2018: 16-20
Informal and Other Publications
- 2024
- [i4]John Mern, Anthony Corso, Damian Burch, Kurt House, Jef Caers:
Intelligent prospector v2.0: exploration drill planning under epistemic model uncertainty. CoRR abs/2410.10610 (2024) - 2023
- [i3]Yizheng Wang, Markus Zechner, Gege Wen, Anthony Louis Corso, John Michael Mern, Mykel J. Kochenderfer, Jef Karel Caers:
Optimizing Carbon Storage Operations for Long-Term Safety. CoRR abs/2304.09352 (2023) - [i2]Robert J. Moss, Anthony Corso, Jef Caers, Mykel J. Kochenderfer:
BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations. CoRR abs/2306.00249 (2023) - 2022
- [i1]Anthony Corso, Yizheng Wang, Markus Zechner, Jef Caers, Mykel J. Kochenderfer:
A POMDP Model for Safe Geological Carbon Sequestration. CoRR abs/2212.00669 (2022)
Coauthor Index
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