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Papers matching “geometric machine learning” 5

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Global Sensitivity Analysis to Improve Geomechanical Stress Characterizations Using Physics-Based Machine Learning Models
2025 conference-abstract Physics and Astronomy Model Reduction and Neural Networks Open access

Racha Achour, Denise Degen, Moritz Ziegler, Oliver Heidbach, Andreas Henk, Karsten Reiter, +2 more

0

citations
3D In-System Calibration of Advanced PET Detector Topologies
2024 conference-abstract Physics and Astronomy Radiation Detection and Scintillator Technologies

Yannick Kuhl, Julian Thull, Stephan Naunheim, David Schug, Volkmar Schulz

0

citations
Differentiable Geomodelling: Towards Geomodel Insight and Task-Oriented Sensitivity Analysis
2026 conference-abstract Earth and Planetary Sciences Geological Modeling and Analysis Open access

Florian Wellmann, Miguel De la Varga

0

citations
Catchment and fan geometry controls on grain size fining in northwestern Namibia
2026 conference-abstract Earth and Planetary Sciences Geological formations and processes Open access

Amanda Wild, David Mair, Ariel Henrique do Prado, Marine Prieur, Nahin Rezwan, Benjamin Mapani, +6 more

0

citations
Differentiable Geomodeling: towards a tighter implementation of structural geological models into geophysical inverse frameworks
2024 conference-abstract Earth and Planetary Sciences Geological Modeling and Analysis Open access

Florian Wellmann, Miguel de la Varga, Zhouji Liang

1

citations

5 results