Pages that link to "Item:Q2027203"
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The following pages link to Geological facies modeling based on progressive growing of generative adversarial networks (GANs) (Q2027203):
Displaying 13 items.
- Parametric generation of conditional geological realizations using generative neural networks (Q2009823) (← links)
- Comparison of recursive neural network and Markov chain models in facies inversion (Q2040689) (← 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)
- GANSim: conditional facies simulation using an improved progressive growing of generative adversarial networks (GANs) (Q2066806) (← links)
- Three-dimensional structural geological modeling using graph neural networks (Q2066838) (← links)
- U-net generative adversarial network for subsurface facies modeling (Q2225390) (← links)
- Stochastic seismic waveform inversion using generative adversarial networks as a geological prior (Q2284094) (← links)
- Application of Bayesian generative adversarial networks to geological facies modeling (Q2676501) (← links)
- Stochastic reconstruction of porous media based on attention mechanisms and multi-stage generative adversarial network (Q6074263) (← links)
- A three-dimensional geological structure modeling framework and its application in machine learning (Q6084330) (← links)
- Stochastic reconstruction of shale combining multi-scale generators and discriminators with attention mechanisms (Q6181712) (← links)
- Physics-informed multi-grid neural operator: theory and an application to porous flow simulation (Q6648363) (← links)
