2 papers
cs.LG2026
In-context learning enables continental-scale subsurface temperature prediction from sparse local observations
Daniel O'Malley, Christopher W. Johnson, Javier E. Santos +10
Continental-scale knowledge of subsurface temperature is limited by the cost and sparsity of borehole measurements, but such information is essential for geothermal resource assess…
cs.LG2025
The Transparent Earth: A Multimodal Foundation Model for the Earth's Subsurface
Arnab Mazumder, Javier E. Santos, Noah Hobbs +2
We present the Transparent Earth, a transformer-based architecture for reconstructing subsurface properties from heterogeneous datasets that vary in sparsity, resolution, and modal…