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Regularising Inverse Problems with Generative Machine Learning Models

Regularising Inverse Problems with Generative Machine Learning Models

22 July 2021
Margaret Duff
Neill D. F. Campbell
Matthias Joachim Ehrhardt
    GAN
    MedIm
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Papers citing "Regularising Inverse Problems with Generative Machine Learning Models"

5 / 5 papers shown
Title
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications
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
14
0
0
02 May 2025
Intermediate Layer Optimization for Inverse Problems using Deep
  Generative Models
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
Giannis Daras
Joseph Dean
A. Jalal
A. Dimakis
DRL
171
82
0
15 Feb 2021
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of
  Generative Models
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon
Alexandru Damian
Shijia Hu
Nikhil Ravi
Cynthia Rudin
OOD
DiffM
180
536
0
08 Mar 2020
Stochastic seismic waveform inversion using generative adversarial
  networks as a geological prior
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior
L. Mosser
O. Dubrule
M. Blunt
GAN
AI4CE
66
207
0
10 Jun 2018
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
63
389
0
20 Oct 2016
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