Regularising Inverse Problems with Generative Machine Learning Models

22 July 2021

Papers citing "Regularising Inverse Problems with Generative Machine Learning Models"

6 / 6 papers shown

Title
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Elie Saad Mariem Besbes Marc Zolghadri Victor Czmil Claude Baron Vincent Bourgeois 26 0 0 02 May 2025
A Neural-Network-Based Convex Regularizer for Inverse Problems Alexis Goujon Sebastian Neumayer Pakshal Bohra Stanislas Ducotterd M. Unser 13 26 0 22 Nov 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
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Sachit Menon Alexandru Damian Shijia Hu Nikhil Ravi Cynthia Rudin OOD DiffM 194 540 0 08 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
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 78 390 0 20 Oct 2016