38 citations · 67 across the 13 of their papers we have counts for
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cs.LG2023★ 4 cited
Rigid Transformations for Stabilized Lower Dimensional Space to Support Subsurface Uncertainty Quantification and Interpretation
Ademide O. Mabadeje, Michael J. Pyrcz
Subsurface datasets inherently possess big data characteristics such as vast volume, diverse features, and high sampling speeds, further compounded by the curse of dimensionality f…
cs.LG2022★ 9 cited
Mitigation of Spatial Nonstationarity with Vision Transformers
Lei Liu, Javier E. Santos, Maša Prodanović +1
Spatial nonstationarity, the location variance of features' statistical distributions, is ubiquitous in many natural settings. For example, in geological reservoirs rock matrix por…
cs.LG2022★ 3 cited
Physics-Informed Graph Neural Network for Spatial-temporal Production Forecasting
Wendi Liu, Michael J. Pyrcz
Production forecast based on historical data provides essential value for developing hydrocarbon resources. Classic history matching workflow is often computationally intense and g…