Abstract: We present an efficient method for uncertainty quantification in 3D magnetotelluric (MT) inversions based on variational inference principles ... Utilizing reparameterization, the gradient ...

We propose a novel recommendation approach called SI-VAE that incorporates side information with the variational autoencoders (VAEs ... and trained with a multinomial likelihood objective function to ...