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Optimizing Oil and Gas Acquisitions Using Recommender Systems
We train a Factorization Machine model on oil and gas well data that includes features such as elevation, total depth, and location.
StackGAN: Facial Image Generation Optimizations
Current state-of-the-art photorealistic generators are computationally expensive, involve unstable training processes, and have real and synthetic distributions that are dissimilar in higher-dimensional spaces.
Multi-Scale Neural Networks for to Fluid Flow in 3D Porous Media
The permeability of complex porous materials can be obtained via direct flow simulation, which provides the most accurate results, but is very computationally expensive.
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