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Learning to solve inverse problems using Wasserstein loss

Learning to solve inverse problems using Wasserstein loss

30 October 2017
J. Adler
Axel Ringh
Ozan Oktem
Johan Karlsson
ArXiv (abs)PDFHTML

Papers citing "Learning to solve inverse problems using Wasserstein loss"

17 / 17 papers shown
A local squared Wasserstein-2 method for efficient reconstruction of
  models with uncertainty
A local squared Wasserstein-2 method for efficient reconstruction of models with uncertainty
Mingtao Xia
Qijing Shen
164
2
0
10 Jun 2024
Efficient Prior Calibration From Indirect Data
Efficient Prior Calibration From Indirect Data
O. Deniz Akyildiz
Mark Girolami
Andrew M. Stuart
Arnaud Vadeboncoeur
341
7
0
28 May 2024
Non-asymptotic convergence bounds for Sinkhorn iterates and their
  gradients: a coupling approach
Non-asymptotic convergence bounds for Sinkhorn iterates and their gradients: a coupling approachAnnual Conference Computational Learning Theory (COLT), 2023
Giacomo Greco
Maxence Noble
Giovanni Conforti
Alain Durmus
OT
168
8
0
13 Apr 2023
Learning Variational Models with Unrolling and Bilevel Optimization
Learning Variational Models with Unrolling and Bilevel Optimization
Christoph Brauer
Niklas Breustedt
T. Wolff
D. Lorenz
SSL
357
5
0
26 Sep 2022
Tutorial on amortized optimization
Tutorial on amortized optimization
Brandon Amos
OffRL
812
77
0
01 Feb 2022
Inverse Problem of Nonlinear Schrödinger Equation as Learning of
  Convolutional Neural Network
Inverse Problem of Nonlinear Schrödinger Equation as Learning of Convolutional Neural Network
Yiran Wang
Zhen Li
103
3
0
19 Jul 2021
Unpaired Single-Image Depth Synthesis with cycle-consistent Wasserstein GANs
Christoph Angermann
Adéla Moravová
Markus Haltmeier
Steinbjörn Jónsson
Christian Laubichler
GANMDE3DV
144
0
0
31 Mar 2021
Surface Topography Characterization Using a Simple Optical Device and
  Artificial Neural Networks
Surface Topography Characterization Using a Simple Optical Device and Artificial Neural NetworksEngineering applications of artificial intelligence (EAAI), 2021
Christoph Angermann
Markus Haltmeier
Christian Laubichler
Steinbjörn Jónsson
Matthias Schwab
Adéla Moravová
C. Kiesling
M. Kober
W. Fimml
231
11
0
15 Mar 2021
Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical
  Solution
Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical SolutionMathematical programming (Math. Program.), 2021
Bahar Taşkesen
Soroosh Shafieezadeh-Abadeh
Daniel Kuhn
OT
238
35
0
10 Mar 2021
Learning the geometry of wave-based imaging
Learning the geometry of wave-based imagingNeural Information Processing Systems (NeurIPS), 2020
K. Kothari
Maarten V. de Hoop
Ivan Dokmanić
AI4CE
204
10
0
10 Jun 2020
CycleGAN with a Blur Kernel for Deconvolution Microscopy: Optimal
  Transport Geometry
CycleGAN with a Blur Kernel for Deconvolution Microscopy: Optimal Transport GeometryIEEE Transactions on Computational Imaging (TCI), 2019
Sungjun Lim
Hyoungjun Park
Sang-Eun Lee
Sunghoe Chang
J. C. Ye
321
43
0
26 Aug 2019
Learning step sizes for unfolded sparse coding
Learning step sizes for unfolded sparse codingNeural Information Processing Systems (NeurIPS), 2019
Pierre Ablin
Thomas Moreau
Mathurin Massias
Alexandre Gramfort
MQ
211
59
0
27 May 2019
Uncertainty Quantification in Deep MRI Reconstruction
Uncertainty Quantification in Deep MRI ReconstructionIEEE Transactions on Medical Imaging (TMI), 2019
Vineet Edupuganti
Morteza Mardani
S. Vasanawala
John M. Pauly
UQCV
266
109
0
31 Jan 2019
Empirical Regularized Optimal Transport: Statistical Theory and
  Applications
Empirical Regularized Optimal Transport: Statistical Theory and Applications
M. Klatt
Carla Tameling
Axel Munk
OT
251
65
0
23 Oct 2018
Task adapted reconstruction for inverse problems
Task adapted reconstruction for inverse problems
J. Adler
Sebastian Lunz
Olivier Verdier
Carola-Bibiane Schönlieb
Ozan Oktem
160
48
0
27 Aug 2018
Recurrent Generative Adversarial Networks for Proximal Learning and
  Automated Compressive Image Recovery
Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery
Morteza Mardani
Hatef Monajemi
Vardan Papyan
S. Vasanawala
D. Donoho
John M. Pauly
GANSupR
168
56
0
27 Nov 2017
Interpolation and Extrapolation of Toeplitz Matrices via Optimal Mass
  Transport
Interpolation and Extrapolation of Toeplitz Matrices via Optimal Mass Transport
Filip Elvander
A. Jakobsson
Johan Karlsson
202
25
0
10 Nov 2017
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