Pinned Repositories
CRN_ProbabilisticInversion
Bayesian inversion of cosmogenic radionuclide depth profile data (Python 2.7)
gan_for_gradient_based_inv
Gradient-based deterministic inversion in the latent space of a GAN for a linear geophysical problem
micado.dap
Companion code of our paper (under review): http://dx.doi.org/10.2139/ssrn.4536413
SGANinv
Multiple-point geostatistics inversion of reservoir models using spatial generative adversarial networks
UQ-RADWASTE
A greta-R implementation of the MCMC-based uncertainty quantification (UQ) approach for radiological characterization of radioactive waste drums by SCK CEN
VAE_MCMC
Inversion with a VAE-based low-dimensional parameterization for complex geologic priors (Python 2.7)
vec2pix
Code for the paper "Approaching geoscientific inverse problems with adversarial vector-to-image domain transfer networks"
elaloy's Repositories
elaloy/SGANinv
Multiple-point geostatistics inversion of reservoir models using spatial generative adversarial networks
elaloy/VAE_MCMC
Inversion with a VAE-based low-dimensional parameterization for complex geologic priors (Python 2.7)
elaloy/CRN_ProbabilisticInversion
Bayesian inversion of cosmogenic radionuclide depth profile data (Python 2.7)
elaloy/gan_for_gradient_based_inv
Gradient-based deterministic inversion in the latent space of a GAN for a linear geophysical problem
elaloy/vec2pix
Code for the paper "Approaching geoscientific inverse problems with adversarial vector-to-image domain transfer networks"
elaloy/micado.dap
Companion code of our paper (under review): http://dx.doi.org/10.2139/ssrn.4536413
elaloy/UQ-RADWASTE
A greta-R implementation of the MCMC-based uncertainty quantification (UQ) approach for radiological characterization of radioactive waste drums by SCK CEN