Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models

7 December 2021

Papers citing "Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models"

7 / 7 papers shown

Title
Reliable amortized variational inference with physics-based latent distribution correction Ali Siahkoohi G. Rizzuti Rafael Orozco Felix J. Herrmann 36 27 0 24 Jul 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 212 778 0 27 Jan 2022
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models Giannis Daras Joseph Dean A. Jalal A. Dimakis DRL 183 83 0 15 Feb 2021
Preconditioned training of normalizing flows for variational inference in inverse problems Ali Siahkoohi G. Rizzuti M. Louboutin Philipp A. Witte Felix J. Herrmann 67 32 0 11 Jan 2021
Solving Inverse Problems with a Flow-based Noise Model Jay Whang Qi Lei A. Dimakis 61 36 0 18 Mar 2020
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior L. Mosser O. Dubrule M. Blunt GAN AI4CE 89 206 0 10 Jun 2018
Iterative Gaussianization: from ICA to Random Rotations Valero Laparra Gustavo Camps-Valls Jesús Malo 64 125 0 31 Jan 2016