Pages that link to "Item:Q2066806"
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The following pages link to GANSim: conditional facies simulation using an improved progressive growing of generative adversarial networks (GANs) (Q2066806):
Displaying 14 items.
- GANSim (Q1354333) (← links)
- Modeling conditional distributions of facies from seismic using neural nets (Q1863241) (← links)
- Parametric generation of conditional geological realizations using generative neural networks (Q2009823) (← links)
- Towards blending physics-based numerical simulations and seismic databases using generative adversarial network (Q2021045) (← links)
- Geological facies modeling based on progressive growing of generative adversarial networks (GANs) (Q2027203) (← links)
- Reconstruction, optimization, and design of heterogeneous materials and media: basic principles, computational algorithms, and applications (Q2064257) (← links)
- Reconstruction of fluvial reservoirs using multiple-stage concurrent generative adversarial networks (Q2065829) (← links)
- Conditioning generative adversarial networks on nonlinear data for subsurface flow model calibration and uncertainty quantification (Q2130944) (← links)
- U-net generative adversarial network for subsurface facies modeling (Q2225390) (← links)
- Application of Bayesian generative adversarial networks to geological facies modeling (Q2676501) (← links)
- Nonlinear optimization generating the tomb mural blocks by GANS (Q2690803) (← links)
- Conditional generative adversarial capsule networks (Q3307395) (← links)
- Stochastic reconstruction of porous media based on attention mechanisms and multi-stage generative adversarial network (Q6074263) (← links)
- Physics-informed multi-grid neural operator: theory and an application to porous flow simulation (Q6648363) (← links)
